GLOBAL COORDINATE METHOD FOR DETERMINING SENSITIVITY IN ASSEMBLY TOLERANCE ANALYSIS

Size: px
Start display at page:

Download "GLOBAL COORDINATE METHOD FOR DETERMINING SENSITIVITY IN ASSEMBLY TOLERANCE ANALYSIS"

Transcription

1 GOBA COORDINATE METOD FOR DETERMINING SENSITIVIT IN ASSEMB TOERANCE ANASIS Jinsong Gao ewlett-packard Corp. InkJet Business Unit San Diego, CA Kenneth W. Chase Spencer P. Magleb Mechanical Engineering Department Brigham oung Universit Provo, UT ABSTRACT Tolerance sensitivit indicates the influence of individual component tolerances in an assembl on the variation of a critical assembl feature or dimension. Important applications include assembl tolerance analsis and tolerance allocation. This paper presents a new method for determining tolerance sensitivit using vector loop assembl tolerance models. With a vector loop model, the assembl kinematic constraints or assembl functions can be established automaticall as implicit functions. This method evaluates the derivatives of the kinematic constraint equations with respect to both manufactured dimensions and assembl variables. The derivative matrices are then used to calculate the tolerance sensitivit matri. This is a closed form method which relates the derivatives of the assembl functions to the coordinates of the joints or nodes and the orientations of the vectors and the local joint aes in an assembl. It is accurate, simple and ver suitable for design iterations.. INTRODUCTION Manufactured parts are seldom used as single parts. The are used in assemblies of parts. The dimensional variations which occur in each component part of an assembl accumulate statisticall and propagate kinematicall, causing the overall assembl dimensions to var according to the number of contributing sources of variation. The resultant critical clearances and fits which affect performance are thus subject to variation due to the tolerance stackup of the component part variations. Tolerance analsis is a quantitative tool for estimating the effect of the accumulation of component variation in assemblies. Assembl variations accumulate or stackup statisticall b rootsum-squares: δui Σ((S ij δ j ) ) () where δui is an assembl feature variation, δ j is the set of component variations, and Sij is the sensitivit δu δ To perform an analsis, assembl functions must be derived which describe the nominal geometr of each assembl feature U i in terms of the component dimensions j. Current analsis methods use both implicit and eplicit assembl functions. The relationship between critical assembl features and the component dimensions which govern them are epressed algebraicall and analzed to determine the effects of variation. Assigned tolerances are introduced and the resulting variation of critical assembl features is evaluated to see if design limits will be eceeded. Tolerance sensitivit is an essential aspect of tolerance analsis of mechanical assemblies in -D and -D space. It indicates the influence of the individual component tolerance in an assembl on the variation of a critical assembl feature or dimension. B eamining the sensitivities, a designer can decide how to control the component tolerances to meet the design specifications. For eample, tolerances ma be loosened on epensive processes and tightened on others to reduce cost, while assuring that the design specs will be met. A new method, called the Global Coordinate Method, has been developed which can accuratel and effectivel determine the sensitivit matri of both eplicit and implicit assembl functions. This paper presents the new method and includes: ) research review, ) a procedure for obtaining closed form epressions for the derivative matrices with respect to manufactured dimensions and assembl or kinematic dimensions, ) the geometric interpretation of the derivatives in -D and -D assemblies, ) two eamples to demonstrate the procedures of appling the new method to mechanical assemblies, and ) conclusions. j i.

2 . RESEARC REVIEW The sensitivit evaluation method is related to the tpe of assembl function. If an eplicit function can be established to epress the assembl variable in terms of the manufactured dimensions, the sensitivit can be obtained b straightforward procedures [Knappe 96, Fortini 967, Co 986]. owever, finding such an eplicit function for all but the simplest assemblies is ver difficult. The authors previous papers [Chase, Gao & Magleb 99, Gao, Chase & Magleb 99] developed vector loop models for representing mechanical assemblies in -D and -D space, with which the assembl kinematic constraint equations can be obtained automaticall in the form of implicit functions. This is ver useful for computer-aided tolerance analsis and allocation, since no user intervention is needed to establish assembl functions. With implicit functions, the tolerance sensitivities must be derived from the derivatives of the implicit assembl equations b algebraic or numerical operations. In the previous papers, the derivatives with respect to each manufactured dimension and the assembl or kinematic variables, are arranged in matrices, which can be used to calculate the tolerance sensitivit matri of the assembl. So, a method for efficientl and accuratel evaluating derivatives is an essential part of evaluating tolerance sensitivit of an assembl described b implicit functions. Methods have been developed to calculate the derivative matrices from vector loop-based models of mechanical assemblies. In such models the vectors represent chains of dimensions which contribute to tolerance stackup in the assembl. Closed vector loops describe the kinematic constraints between mating parts. Open loops describe assembl dimensions and features resulting from the dimension chains. Marler [988] used simple -D vector assembl functions for evaluating the derivatives. Figure shows a closed vector loop. The vectors are joined tip-to-tail. Each vector length i represents either a component dimension, with its corresponding tolerance, or a kinematic variable, describing an adjustable assembl parameter. The angles i describe the relative rotation from one vector to the net Figure. A sample vector loop-based assembl model. The assembl constraints can be resolved into three scalar equations in the global coordinate directions, representing the sum of vector components in the and directions and sum of rotations about Z: n i Σ i cos Σ j i j () n i Σ i sin Σ j i j () n+ Σ j i () From equations (), () and (), the derivative with respect to i and i can be easil obtained in closed form. For translation: For rotation: n k δ δ i cos δ δ i sin δ. i Σ j i Σ j j j () δ - k sin δi Σki n δ Σ k δi ki δ. δi cos j Σj k Σ j δi This closed form for evaluating derivatives of the vector loopbased assemblies in -D is straightforward and accurate. owever, it is ver difficult to etend to -D assemblies. A closed -D loop can be epressed in terms of a concatenation of coordinate transformation matrices: [R][T][R][T]...[Ri][Ti]...[Rn][Tn][Rf] [I] (7) where [Ri] and [Ti] represent the rotational and translational operations at Joint i, [Rf] is the final rotation required to bring the loop to closure, and [I] is the identit matri. This implies that if a kinematic loop describing a mechanism is closed, the coordinate sstem at the end of the loop must be parallel to and located at the same point as the coordinate sstem at the beginning. Robison [989] used a small perturbation method for evaluating the derivatives on the assembl constraint equation (7). For a -D case, if the rotation at Joint i is the variable with respect to which the derivatives are desired, a small angle perturbation δ is added to the original value, then the matri multiplication of equation (7) is performed: {,,} t [R][T][R][T]...[Ri( +δ)][ti]... j [Rn][Tn]{ } t { } t (8) The derivatives can then be approimated numericall b: () δ (9) δ (6)

3 where and are the scalar constraints in global and directions, and are the resultants. A similar procedure is followed for derivatives with each of the other variables. This method can easil be etended to -D assembl models. The disadvantage of this approach is that it is computationall intensive and its accurac depends on the size of the perturbation and the size of the matri equation. Sandor [98] introduced a method for accuratel evaluating the derivatives of the vector loop-based mechanisms in -D and -D. e emploed a derivative operational matri and inserted it into the constraint equation (7). Then the matri multiplications are performed and the derivatives are obtained. A similar procedure was used b Whitne, et al [99]. This method reduces the derivative to a matri operation which is equivalent to a small perturbation. Although it is more suitable for automated computation, it still requires substantial matri multiplications for each sensitivit. uo [996] introduced the variation polgon, a new method for obtaining tolerance sensitivities. It is based on vector polgons, in which dimensional variations are added vectoriall, similar to velocit polgons for mechanism analsis. The provide closed form relationships between the dimensional variations and resultant assembl variations. The sensitivities ma be derived from the vector polgons. This method has not been generalized for -D and -D assemblies. The Global Coordinate Method for computing sensitivities offers some advantages over the current methods described above. It works with both eplicit and implicit assembl functions, is simple to use, readil automated, and offers good accurac and reduced computation. The basics are described in the following sections and demonstrated with eamples.. GOBA COORDINATE METOD FOR DETERMINING SENSITIVIT The -D model described in figure represented an assembl b vector chains and relative rotations between adjacent vectors. -D assemblies ma be represented b similar vector chains. The derivative formula for the new approach can be derived b the differentiation of the D vector epression. V i + j + Zk () et, and Z as well as i, j and k be the functions of variable u. Then differentiating equation () gives [Chisholm, 978]: dv d du du i + d du j + dz du k + ω V () where ω V (ω Z - ω )i + (ω - ω Z)j + (ω - ω )k () and ω (ω,ω,ω ) are the direction cosines of the ais of rotation. The first three terms in equation () result from the change in length of V. The cross product is from it's rotation.. Derivative with Respect to a ength Variable If vector V represents the sum of a vector chain, the derivative with respect to a length variable can be obtained b letting u i. From equation (), it can be seen that the last term drops out due to no local rotation. Then V i lim δ i δi + δ j + δz k δ i δ i δ i () Since the rates of δ/δi, δ/δi and δz/δi do not change for an variation δi along the vector i, the derivatives of the assembl function to such a variable are constants, which are equal to the direction cosines of the vector measured in the global coordinate sstem. For translational equations: cosα i cosβ i z cosγ i () (6) For rotational equations: i i z i (8) (9) (7) () where α, β and γ are the direction cosine angles of vector i and variation vector δi;, and z are the scalar sum of vectors in the global, and Z directions; and, and z are the sum of, and Z rotations.. Derivative with Respect to a Rotation Variable The derivative with respect to a rotation variable can also be obtained b letting ui in equation (), which is a rotation about one of the aes of the local joint coordinate sstem. Since this rotation variable is not related to the first three terms in equation (), the are zeros. Onl the last term of the equation is undecided. Equation () gives the derivatives of the assembl functions with respect to the angular variable. In that equation, the rotation is applied at the joint and the variation is measured at the origin of the global coordinate sstem. V ( ω - ωz)i + (ωz - ω) j + (ω - ω)k i () So, it is eas to write the derivatives for the translational constraint equations in terms of the global coordinates, and Z of joint i and the direction cosines of the rotation: For translational equations: For rotational equations: ω i i ω - ωz ωz - ω () z ω - ω i i i ω z ω i () If the rotation variable is considered as a vector, equations () have the same meanings as equations () to (7), that is, the each describe the direction cosines of the rotation variation vector.

4 If the global coordinates of the joints and the direction cosines of the vectors and local joint aes in an assembl are known, the derivatives with respect to both translational and rotational variables can be obtained ver easil. For a -D assembl, simpl let Z, ω, ω and ω ±, and the derivatives are: For translational variable: For rotational variable: i cosα i cosβ sinα () i i i i ω -ω ω () where ω could be either or -, depending upon the direction of the relative rotation at joint or node i.. GEOMETRIC INTERPRETATION OF TE DERIVATIVES The geometrical interpretation of the derivatives with respect to a variable will help one to understand the relationship between the derivatives and variations in geometr. An small perturbation at a joint or node will cause the vector loop to fail to close. The variation propagates around the loop and results in a gap at the starting point. If a closure vector is added to close the loop, the ratio of the closure vector to the disturbance at the joint is related to the derivative.. -D Mechanical Assemblies First consider the derivative of the -D assembl in Figure with respect to length variable. The procedure includes: ) perturbing the variable b δ, ) finding the resultant variations of and at the origin and ) dividing these variations b δ. In this case, the variation and are the projections of δ on and aes, so the ratios cos α δ cos β sin α δ are all constants, where α and β are the direction cosine angles of vector. δ 7 Figure. Figure with perturbation δ along vector. Now consider the derivative with respect to a rotational variable. Figure illustrates a loop with an angle perturbation δ at Joint. Since each vector direction is measured relative to the preceding vector, this is equivalent to rotating the remaining vectors, from Joint to the origin, as a rigid bod through the angle δ. Such a rigid bod rotation around Joint will ield the resultant variations of the end point of the last vector with the magnitudes of and. From Figure, it is eas to see that for small angle δ ω δ -ω δ so ω δ -ω δ ω 6

5 δ 7 Figure. Figure with angle perturbation δ.. -D Mechanical Assemblies The geometrical description of the derivatives of a vector assembl in -D is more complicated as compared with the -D case. Figure shows a -D vector loop with a perturbation δ along the vector,, and Z are the resultant variations at the end point of the last vector, and these variations divided b δ give the derivatives with respect to. Just as the case in -D, the derivatives with respect to a translational variable can be written as: δ δ z Z δ cos α cos β cos γ 6 z where α, β and γ are the direction cosine angles of vector, or the angles between and, and Z ais respectivel. Z Z Figure. A D vector loop with perturbation δ. The most difficult part of the geometrical illustration is to visualize the derivatives with respect to a rotation in -D space. δ Figure describes a -D vector loop with an angle variation δz around local z ais. This rotation is equivalent to rotating the line connecting Joint and the origin of the global coordinate sstem b an angle variation δz about the local z ais. Z δ z Joint Figure. A -D vector loop with angle perturbation δz. This angle variation at Joint will produce translational variations, and Z as well as rotational variations Θ, Θ and Θz at the global coordinate origin. It is eas to obtain the resultant angle variations at the global coordinate sstem, if we place a unit vector ω representing the rotational variation, whose components in the global, and Z directions are ω, ω and ω respectivel. Then:. Θ ωδz Θ ωδz Θz ωδz If the angle variable δz is considered as a vector, ω, ω and ω have the same meanings as direction cosines as have been discussed in translational variable case. So the remaining work is to find out, and Z caused b δz. Figure 6 illustrates how is calculated. From the drawing, it can be seen that onl rotations around and Z affect. Z Z ( Z) Θ ω δ z Θ ω δ z δ z ω δ Θ ω δ z z Figure 6. Components of caused b δz. ωδz - Zωδz z z z Zω δ z

6 In the same wa, and Z can be found. Zωδz - ωδz Z ωδz - ωδz So the derivatives can be epressed as: z z z z δz δz Z δz ω - Zω Zω - ω ω - ω z z z z Θ δz Θ δz Θz δz ω ω ω This is called the Global Coordinate Method for determining the scalar derivatives of the kinematic constraint equations. These derivatives can be used to form matrices from which the sensitivities ma be derived, as demonstrated in the net section.. EAMPES The -D one-wa clutch assembl [Chase, Gao & Magleb 99] and the -D crank slider mechanism [Gao, Chase & Magleb 99] will be re-eamined in this section to show how to appl the Global Coordinate Method to determine the sensitivit matri for tolerance analsis of mechanical assemblies.. -D One-Wa Clutch Assembl Figure 7 shows the vector loop model of the one-wa clutch assembl, as described b Fortini [967]. This is a common device used to transmit rotar motion in onl one direction. When the outer ring of the clutch is rotated clockwise, the rollers wedge between the ring and hub, locking the two so the rotate together. In the reverse direction, the rollers just slip, so the hub does not turn. Table lists all the information necessar for evaluating the derivatives with respect to both manufactured and assembl or kinematic dimensions. Joint Φ c Joint ub Joint a b c Roller Joint e Joint Ring Φ Figure 7. Vector loop model of one-wa clutch assembl. Table. Dimensions of one-wa clutch vector loop Part-Joint Name Orientation Joint Coordinates a Joint α 9.. b Joint α c Joint α 9 c Joint α e Joint α In this assembl, dimensions a, c and e are the manufactured variables, while b, and are the assembl or kinematic dimensions. From equations () and (), the derivatives ma be calculated and grouped into matrices [A] and [B].

7 [ A ] e c a e c a e c a [ B ] b b b where [A] are derivatives with respect to the manufactured variations and [B] are derivatives with respect to the assembl variables. Finall, the sensitivit matri [S] can be calculated as shown b Chase, et al [99]: [S] -[B] - [A] D Crank Slider Mechanism The vector loop model of the -D crank slider mechanism is illustrated in Figure 8 with all dimensions marked. In this assembl, dimensions A, B, C, D and E are the manufactured variables, while,,, and U are the assembl or kinematic dimensions. Table lists the joint coordinates and vector orientations as well as the orientations of the local joint aes around which the rotations will be the variables with respect to which the derivatives are desired. Those data can be easil obtained if the assembl model has been established using assembl modeling software, such as Pro/E, CATIA and etc. A B C D E U Crank Base ink Slider D z 6 Figure 8. -D slider crank assembl Table. Dimensions of crank slider vector loop Part-Joint Name Orientations ( ω ω ω) Joint Coordinates ( Z) A Joint (,, ) B Joint (,, ) C Joint (,.77,.77) D Joint (.99,.6,.6) Joint () (,.77,.77) (-.,.666, 9.9) Joint (z) (.66,.698,.698) (-.,.666, 9.9)

8 E Joint (,, ) Joint () (.9,.6,.76) (-9.76,.,.) Joint (z) (.87,.89, ) (-9.76,.,.) U Joint 6 (,, ) From equations () and (), the derivative matri with respect to the manufactured dimensions [A] and with respect to the assembl or kinematic variables [B] can be obtained. A B A A z ŽA A A z A Ž z B B z B B B z B Ž z C C z C C C z C z D D z D D D z D Ž Ž z Ž Ž z Ž z z z E E z E E E z E U Ž U z U U U z U Since [B] is not a square matri, it can not be inverted directl. In such cases, the sensitivit matri ma be calculated using a least square fit b inverting the product [B] T [B] and multipling with the product [B] T [A]. This procedure is described b Gao, et al [998]. [S] - ([ B ] T [ B ]) - [ B ] T [ A ] The statistical variation in displacement U can be estimated b root sum squares from equation () using elements of [S]: δu [ (.86 δa) + ( δb) + (.7 δc) + (.6677 δd) + (.86 δe) ] / where δa, δb, δc, δd and δe are the tolerances on dimensions A, B, C, D and E, respectivel. In a similar manner, the calculated tolerance sensitivities [S] ma be used to calculate predicted tolerance stackup in an assembl feature b worst case or statistical sums of the component tolerances times their respective sensitivities. Design decisions about which tolerances to tighten or loosen to avoid assembl problems or to reduce cost ma also be made based on the sensitivities, as described in man design publications [Fortini 967, Chase 99]. 6. CONCUSIONS This research work presented the Global Coordinate Method for evaluating the sensitivit matri for assembl tolerance analsis. The Global Coordinate Method relates the sensitivit of assembl functions to the geometric information of an assembl, such as the coordinates of the joints, the orientations of the vectors and the local coordinate reference sstems in the global coordinate frame. Such data can be obtained easil after the assembl has been generated using modeling software. The

9 outstanding features of this method include its simplicit, accurac and efficienc. REFERENCES Chase, K. W., Gao, J. and Magleb, S. P., 99, General -D Tolerance Analsis of Mechanical Assemblies with Small Kinematic Adjustments, Journal of Design and Manufacturing, v, 6-7. Chase, K. W. and A. R. Parkinson, 99, A Surve of Research in the Application of Tolerance analsis to the Design of Mechanical Assemblies. Research in Engineering Design, (99): --7. Chisholm, J. S. R., 978, Vectors in Three-Dimensional Space, Cambridge Universit Press. Co, N. D., 986, "Volume : ow to Perform Statistical Tolerance Analsis," American Societ for Statistical Qualit Control. Fortini, E. T., 967, " Dimensioning for Interchangeable Manufacture," Industrial Press. Gao, J., Chase, K. W. and Magleb, S. P., 998, Generalized -D Tolerance Analsis of Mechanical Assemblies with Small Kinematic Adjustments, IIE Trans, v, uo, anqi, 996, "Variation Polgon-A New Method for Determining Tolerance Sensitivit in Assemblies," Proc. CSME Forum 996, Ontario, Canada, Ma 7-9. Knappe,. F., 96, " A Technique for Analzing Mechanism Tolerances," Mechine Design, April, pp. -7. Marler, Jaren D., 988, Nonlinear Tolerance Analsis Using the Direct inearization Method, M.S. Thesis, Mechanical Engineering Department, Brigham oung Universit. Robison, R.., 989, A Practical Method for Three- Dimensional Tolerance Analsis Using a Solid Modeler, M.S. Thesis, Mechanical Engineering Department, Brigham oung Universit. Sandor, G. N., Erdman, A. G., 98, Advanced Mechanism Design: Analsis and Snthesis, Volume, Prentice-all, INC. Whitne, D. E., Gilbert, O.. and Jastrzebski, M., 99 Representation of Geometric Variations Using Matri Transforms for Statistical Tolerance Analsis in Assemblies, Research in Engineering Design, vol. 6, pp. 9-.

Addition and Subtraction of Vectors

Addition and Subtraction of Vectors ddition and Subtraction of Vectors 1 ppendi ddition and Subtraction of Vectors In this appendi the basic elements of vector algebra are eplored. Vectors are treated as geometric entities represented b

More information

Physics 53. Kinematics 2. Our nature consists in movement; absolute rest is death. Pascal

Physics 53. Kinematics 2. Our nature consists in movement; absolute rest is death. Pascal Phsics 53 Kinematics 2 Our nature consists in movement; absolute rest is death. Pascal Velocit and Acceleration in 3-D We have defined the velocit and acceleration of a particle as the first and second

More information

Affine Transformations

Affine Transformations A P P E N D I X C Affine Transformations CONTENTS C The need for geometric transformations 335 C2 Affine transformations 336 C3 Matri representation of the linear transformations 338 C4 Homogeneous coordinates

More information

sin(θ) = opp hyp cos(θ) = adj hyp tan(θ) = opp adj

sin(θ) = opp hyp cos(θ) = adj hyp tan(θ) = opp adj Math, Trigonometr and Vectors Geometr 33º What is the angle equal to? a) α = 7 b) α = 57 c) α = 33 d) α = 90 e) α cannot be determined α Trig Definitions Here's a familiar image. To make predictive models

More information

Math, Trigonometry and Vectors. Geometry. Trig Definitions. sin(θ) = opp hyp. cos(θ) = adj hyp. tan(θ) = opp adj. Here's a familiar image.

Math, Trigonometry and Vectors. Geometry. Trig Definitions. sin(θ) = opp hyp. cos(θ) = adj hyp. tan(θ) = opp adj. Here's a familiar image. Math, Trigonometr and Vectors Geometr Trig Definitions Here's a familiar image. To make predictive models of the phsical world, we'll need to make visualizations, which we can then turn into analtical

More information

Introduction to polarization of light

Introduction to polarization of light Chapter 2 Introduction to polarization of light This Chapter treats the polarization of electromagnetic waves. In Section 2.1 the concept of light polarization is discussed and its Jones formalism is presented.

More information

COMPONENTS OF VECTORS

COMPONENTS OF VECTORS COMPONENTS OF VECTORS To describe motion in two dimensions we need a coordinate sstem with two perpendicular aes, and. In such a coordinate sstem, an vector A can be uniquel decomposed into a sum of two

More information

Plane Stress Transformations

Plane Stress Transformations 6 Plane Stress Transformations ASEN 311 - Structures ASEN 311 Lecture 6 Slide 1 Plane Stress State ASEN 311 - Structures Recall that in a bod in plane stress, the general 3D stress state with 9 components

More information

Dr. Fritz Wilhelm, DVC,8/30/2004;4:25 PM E:\Excel files\ch 03 Vector calculations.doc Last printed 8/30/2004 4:25:00 PM

Dr. Fritz Wilhelm, DVC,8/30/2004;4:25 PM E:\Excel files\ch 03 Vector calculations.doc Last printed 8/30/2004 4:25:00 PM E:\Ecel files\ch 03 Vector calculations.doc Last printed 8/30/2004 4:25:00 PM Vector calculations 1 of 6 Vectors are ordered sequences of numbers. In three dimensions we write vectors in an of the following

More information

Section V.2: Magnitudes, Directions, and Components of Vectors

Section V.2: Magnitudes, Directions, and Components of Vectors Section V.: Magnitudes, Directions, and Components of Vectors Vectors in the plane If we graph a vector in the coordinate plane instead of just a grid, there are a few things to note. Firstl, directions

More information

Core Maths C3. Revision Notes

Core Maths C3. Revision Notes Core Maths C Revision Notes October 0 Core Maths C Algebraic fractions... Cancelling common factors... Multipling and dividing fractions... Adding and subtracting fractions... Equations... 4 Functions...

More information

Introduction to Matrices for Engineers

Introduction to Matrices for Engineers Introduction to Matrices for Engineers C.T.J. Dodson, School of Mathematics, Manchester Universit 1 What is a Matrix? A matrix is a rectangular arra of elements, usuall numbers, e.g. 1 0-8 4 0-1 1 0 11

More information

MAT188H1S Lec0101 Burbulla

MAT188H1S Lec0101 Burbulla Winter 206 Linear Transformations A linear transformation T : R m R n is a function that takes vectors in R m to vectors in R n such that and T (u + v) T (u) + T (v) T (k v) k T (v), for all vectors u

More information

3D Stress Components. From equilibrium principles: τ xy = τ yx, τ xz = τ zx, τ zy = τ yz. Normal Stresses. Shear Stresses

3D Stress Components. From equilibrium principles: τ xy = τ yx, τ xz = τ zx, τ zy = τ yz. Normal Stresses. Shear Stresses 3D Stress Components From equilibrium principles:, z z, z z The most general state of stress at a point ma be represented b 6 components Normal Stresses Shear Stresses Normal stress () : the subscript

More information

SECTION 7-4 Algebraic Vectors

SECTION 7-4 Algebraic Vectors 7-4 lgebraic Vectors 531 SECTIN 7-4 lgebraic Vectors From Geometric Vectors to lgebraic Vectors Vector ddition and Scalar Multiplication Unit Vectors lgebraic Properties Static Equilibrium Geometric vectors

More information

Lecture L3 - Vectors, Matrices and Coordinate Transformations

Lecture L3 - Vectors, Matrices and Coordinate Transformations S. Widnall 16.07 Dynamics Fall 2009 Lecture notes based on J. Peraire Version 2.0 Lecture L3 - Vectors, Matrices and Coordinate Transformations By using vectors and defining appropriate operations between

More information

Complex Numbers. w = f(z) z. Examples

Complex Numbers. w = f(z) z. Examples omple Numbers Geometrical Transformations in the omple Plane For functions of a real variable such as f( sin, g( 2 +2 etc ou are used to illustrating these geometricall, usuall on a cartesian graph. If

More information

The Mathematics of Engineering Surveying (3)

The Mathematics of Engineering Surveying (3) The Mathematics of Engineering Surveing (3) Scenario s a new graduate ou have gained emploment as a graduate engineer working for a major contractor that emplos 2000 staff and has an annual turnover of

More information

Minimum-Cost Tolerance Allocation

Minimum-Cost Tolerance Allocation Minimum-Cost Tolerance Allocation ADCATS Report No. 99-5 Kenneth W. Chase Department of Mechanical Engineering Brigham Young University 1999 ABSTRACT Tolerance allocation is a design tool for reducing

More information

Unified Lecture # 4 Vectors

Unified Lecture # 4 Vectors Fall 2005 Unified Lecture # 4 Vectors These notes were written by J. Peraire as a review of vectors for Dynamics 16.07. They have been adapted for Unified Engineering by R. Radovitzky. References [1] Feynmann,

More information

Figure 1.1 Vector A and Vector F

Figure 1.1 Vector A and Vector F CHAPTER I VECTOR QUANTITIES Quantities are anything which can be measured, and stated with number. Quantities in physics are divided into two types; scalar and vector quantities. Scalar quantities have

More information

2D Geometrical Transformations. Foley & Van Dam, Chapter 5

2D Geometrical Transformations. Foley & Van Dam, Chapter 5 2D Geometrical Transformations Fole & Van Dam, Chapter 5 2D Geometrical Transformations Translation Scaling Rotation Shear Matri notation Compositions Homogeneous coordinates 2D Geometrical Transformations

More information

Some Comments on the Derivative of a Vector with applications to angular momentum and curvature. E. L. Lady (October 18, 2000)

Some Comments on the Derivative of a Vector with applications to angular momentum and curvature. E. L. Lady (October 18, 2000) Some Comments on the Derivative of a Vector with applications to angular momentum and curvature E. L. Lady (October 18, 2000) Finding the formula in polar coordinates for the angular momentum of a moving

More information

15.1. Exact Differential Equations. Exact First-Order Equations. Exact Differential Equations Integrating Factors

15.1. Exact Differential Equations. Exact First-Order Equations. Exact Differential Equations Integrating Factors SECTION 5. Eact First-Order Equations 09 SECTION 5. Eact First-Order Equations Eact Differential Equations Integrating Factors Eact Differential Equations In Section 5.6, ou studied applications of differential

More information

Implicit Differentiation

Implicit Differentiation Revision Notes 2 Calculus 1270 Fall 2007 INSTRUCTOR: Peter Roper OFFICE: LCB 313 [EMAIL: roper@math.utah.edu] Standard Disclaimer These notes are not a complete review of the course thus far, and some

More information

2.1 Three Dimensional Curves and Surfaces

2.1 Three Dimensional Curves and Surfaces . Three Dimensional Curves and Surfaces.. Parametric Equation of a Line An line in two- or three-dimensional space can be uniquel specified b a point on the line and a vector parallel to the line. The

More information

Pulsed Fourier Transform NMR The rotating frame of reference. The NMR Experiment. The Rotating Frame of Reference.

Pulsed Fourier Transform NMR The rotating frame of reference. The NMR Experiment. The Rotating Frame of Reference. Pulsed Fourier Transform NR The rotating frame of reference The NR Eperiment. The Rotating Frame of Reference. When we perform a NR eperiment we disturb the equilibrium state of the sstem and then monitor

More information

Downloaded from www.heinemann.co.uk/ib. equations. 2.4 The reciprocal function x 1 x

Downloaded from www.heinemann.co.uk/ib. equations. 2.4 The reciprocal function x 1 x Functions and equations Assessment statements. Concept of function f : f (); domain, range, image (value). Composite functions (f g); identit function. Inverse function f.. The graph of a function; its

More information

Cross Products and Moments of Force

Cross Products and Moments of Force 4 Cross Products and Moments of Force Ref: Hibbeler 4.2-4.3, edford & Fowler: Statics 2.6, 4.3 In geometric terms, the cross product of two vectors, A and, produces a new vector, C, with a direction perpendicular

More information

Mechanics lecture 7 Moment of a force, torque, equilibrium of a body

Mechanics lecture 7 Moment of a force, torque, equilibrium of a body G.1 EE1.el3 (EEE1023): Electronics III Mechanics lecture 7 Moment of a force, torque, equilibrium of a body Dr Philip Jackson http://www.ee.surrey.ac.uk/teaching/courses/ee1.el3/ G.2 Moments, torque and

More information

Rotation and Inter interpolation Using Quaternion Representation

Rotation and Inter interpolation Using Quaternion Representation This week CENG 732 Computer Animation Spring 2006-2007 Week 2 Technical Preliminaries and Introduction to Keframing Recap from CEng 477 The Displa Pipeline Basic Transformations / Composite Transformations

More information

Vector Calculus: a quick review

Vector Calculus: a quick review Appendi A Vector Calculus: a quick review Selected Reading H.M. Sche,. Div, Grad, Curl and all that: An informal Tet on Vector Calculus, W.W. Norton and Co., (1973). (Good phsical introduction to the subject)

More information

INVESTIGATIONS AND FUNCTIONS 1.1.1 1.1.4. Example 1

INVESTIGATIONS AND FUNCTIONS 1.1.1 1.1.4. Example 1 Chapter 1 INVESTIGATIONS AND FUNCTIONS 1.1.1 1.1.4 This opening section introduces the students to man of the big ideas of Algebra 2, as well as different was of thinking and various problem solving strategies.

More information

CSMIP INSTRUMENTED BUILDING RESPONSE ANALYSIS AND 3-D VISUALIZATION SYSTEM (CSMIP-3DV)

CSMIP INSTRUMENTED BUILDING RESPONSE ANALYSIS AND 3-D VISUALIZATION SYSTEM (CSMIP-3DV) CSMIP INSTRUMENTED BUILDING RESPONSE NLYSIS ND 3-D VISULIZTION SYSTEM (CSMIP-3DV) Farzad Naeim, Ph.D., S.E., Esq., Hung Lee, P.E., Hussain Bhatia, Ph.D., S.E., Scott Hagie and Konstantinos Skliros Research

More information

D.3. Angles and Degree Measure. Review of Trigonometric Functions

D.3. Angles and Degree Measure. Review of Trigonometric Functions APPENDIX D Precalculus Review D7 SECTION D. Review of Trigonometric Functions Angles and Degree Measure Radian Measure The Trigonometric Functions Evaluating Trigonometric Functions Solving Trigonometric

More information

In this this review we turn our attention to the square root function, the function defined by the equation. f(x) = x. (5.1)

In this this review we turn our attention to the square root function, the function defined by the equation. f(x) = x. (5.1) Section 5.2 The Square Root 1 5.2 The Square Root In this this review we turn our attention to the square root function, the function defined b the equation f() =. (5.1) We can determine the domain and

More information

Client Based Power Iteration Clustering Algorithm to Reduce Dimensionality in Big Data

Client Based Power Iteration Clustering Algorithm to Reduce Dimensionality in Big Data Client Based Power Iteration Clustering Algorithm to Reduce Dimensionalit in Big Data Jaalatchum. D 1, Thambidurai. P 1, Department of CSE, PKIET, Karaikal, India Abstract - Clustering is a group of objects

More information

CHAPTER 10 SYSTEMS, MATRICES, AND DETERMINANTS

CHAPTER 10 SYSTEMS, MATRICES, AND DETERMINANTS CHAPTER 0 SYSTEMS, MATRICES, AND DETERMINANTS PRE-CALCULUS: A TEACHING TEXTBOOK Lesson 64 Solving Sstems In this chapter, we re going to focus on sstems of equations. As ou ma remember from algebra, sstems

More information

Lecture 7. Matthew T. Mason. Mechanics of Manipulation. Lecture 7. Representing Rotation. Kinematic representation: goals, overview

Lecture 7. Matthew T. Mason. Mechanics of Manipulation. Lecture 7. Representing Rotation. Kinematic representation: goals, overview Matthew T. Mason Mechanics of Manipulation Today s outline Readings, etc. We are starting chapter 3 of the text Lots of stuff online on representing rotations Murray, Li, and Sastry for matrix exponential

More information

3D Arm Motion Tracking for Home-based Rehabilitation

3D Arm Motion Tracking for Home-based Rehabilitation hapter 13 3D Arm Motion Tracking for Home-based Rehabilitation Y. Tao and H. Hu 13.1 Introduction This paper presents a real-time hbrid solution to articulated 3D arm motion tracking for home-based rehabilitation

More information

A Study on Intelligent Video Security Surveillance System with Active Tracking Technology in Multiple Objects Environment

A Study on Intelligent Video Security Surveillance System with Active Tracking Technology in Multiple Objects Environment Vol. 6, No., April, 01 A Stud on Intelligent Video Securit Surveillance Sstem with Active Tracking Technolog in Multiple Objects Environment Juhun Park 1, Jeonghun Choi 1, 1, Moungheum Park, Sukwon Hong

More information

Trigonometry Review Workshop 1

Trigonometry Review Workshop 1 Trigonometr Review Workshop Definitions: Let P(,) be an point (not the origin) on the terminal side of an angle with measure θ and let r be the distance from the origin to P. Then the si trig functions

More information

The University of the State of New York REGENTS HIGH SCHOOL EXAMINATION INTEGRATED ALGEBRA. Tuesday, January 24, 2012 9:15 a.m. to 12:15 p.m.

The University of the State of New York REGENTS HIGH SCHOOL EXAMINATION INTEGRATED ALGEBRA. Tuesday, January 24, 2012 9:15 a.m. to 12:15 p.m. INTEGRATED ALGEBRA The Universit of the State of New York REGENTS HIGH SCHOOL EXAMINATION INTEGRATED ALGEBRA Tuesda, Januar 4, 01 9:15 a.m. to 1:15 p.m., onl Student Name: School Name: Print our name and

More information

SECTION 2.2. Distance and Midpoint Formulas; Circles

SECTION 2.2. Distance and Midpoint Formulas; Circles SECTION. Objectives. Find the distance between two points.. Find the midpoint of a line segment.. Write the standard form of a circle s equation.. Give the center and radius of a circle whose equation

More information

Connecting Transformational Geometry and Transformations of Functions

Connecting Transformational Geometry and Transformations of Functions Connecting Transformational Geometr and Transformations of Functions Introductor Statements and Assumptions Isometries are rigid transformations that preserve distance and angles and therefore shapes.

More information

w = COI EYE view direction vector u = w ( 010,, ) cross product with y-axis v = w u up vector

w = COI EYE view direction vector u = w ( 010,, ) cross product with y-axis v = w u up vector . w COI EYE view direction vector u w ( 00,, ) cross product with -ais v w u up vector (EQ ) Computer Animation: Algorithms and Techniques 29 up vector view vector observer center of interest 30 Computer

More information

Motion Planning for Dynamic Variable Inertia Mechanical Systems with Non-holonomic Constraints

Motion Planning for Dynamic Variable Inertia Mechanical Systems with Non-holonomic Constraints Motion Planning for Dnamic Variable Inertia Mechanical Sstems with Non-holonomic Constraints Elie A. Shammas, Howie Choset, and Alfred A. Rizzi Carnegie Mellon Universit, The Robotics Institute Pittsburgh,

More information

Vector has a magnitude and a direction. Scalar has a magnitude

Vector has a magnitude and a direction. Scalar has a magnitude Vector has a magnitude and a direction Scalar has a magnitude Vector has a magnitude and a direction Scalar has a magnitude a brick on a table Vector has a magnitude and a direction Scalar has a magnitude

More information

Lines and Planes 1. x(t) = at + b y(t) = ct + d

Lines and Planes 1. x(t) = at + b y(t) = ct + d 1 Lines in the Plane Lines and Planes 1 Ever line of points L in R 2 can be epressed as the solution set for an equation of the form A + B = C. The equation is not unique for if we multipl both sides b

More information

Mathematics Placement Packet Colorado College Department of Mathematics and Computer Science

Mathematics Placement Packet Colorado College Department of Mathematics and Computer Science Mathematics Placement Packet Colorado College Department of Mathematics and Computer Science Colorado College has two all college requirements (QR and SI) which can be satisfied in full, or part, b taking

More information

Introduction to Plates

Introduction to Plates Chapter Introduction to Plates Plate is a flat surface having considerabl large dimensions as compared to its thickness. Common eamples of plates in civil engineering are. Slab in a building.. Base slab

More information

State of Stress at Point

State of Stress at Point State of Stress at Point Einstein Notation The basic idea of Einstein notation is that a covector and a vector can form a scalar: This is typically written as an explicit sum: According to this convention,

More information

COMPLEX STRESS TUTORIAL 3 COMPLEX STRESS AND STRAIN

COMPLEX STRESS TUTORIAL 3 COMPLEX STRESS AND STRAIN COMPLX STRSS TUTORIAL COMPLX STRSS AND STRAIN This tutorial is not part of the decel unit mechanical Principles but covers elements of the following sllabi. o Parts of the ngineering Council eam subject

More information

13.4 THE CROSS PRODUCT

13.4 THE CROSS PRODUCT 710 Chapter Thirteen A FUNDAMENTAL TOOL: VECTORS 62. Use the following steps and the results of Problems 59 60 to show (without trigonometry) that the geometric and algebraic definitions of the dot product

More information

LINEAR FUNCTIONS OF 2 VARIABLES

LINEAR FUNCTIONS OF 2 VARIABLES CHAPTER 4: LINEAR FUNCTIONS OF 2 VARIABLES 4.1 RATES OF CHANGES IN DIFFERENT DIRECTIONS From Precalculus, we know that is a linear function if the rate of change of the function is constant. I.e., for

More information

LESSON EIII.E EXPONENTS AND LOGARITHMS

LESSON EIII.E EXPONENTS AND LOGARITHMS LESSON EIII.E EXPONENTS AND LOGARITHMS LESSON EIII.E EXPONENTS AND LOGARITHMS OVERVIEW Here s what ou ll learn in this lesson: Eponential Functions a. Graphing eponential functions b. Applications of eponential

More information

3 The boundary layer equations

3 The boundary layer equations 3 The boundar laer equations Having introduced the concept of the boundar laer (BL), we now turn to the task of deriving the equations that govern the flow inside it. We focus throughout on the case of

More information

Lecture L22-2D Rigid Body Dynamics: Work and Energy

Lecture L22-2D Rigid Body Dynamics: Work and Energy J. Peraire, S. Widnall 6.07 Dynamics Fall 008 Version.0 Lecture L - D Rigid Body Dynamics: Work and Energy In this lecture, we will revisit the principle of work and energy introduced in lecture L-3 for

More information

9 Multiplication of Vectors: The Scalar or Dot Product

9 Multiplication of Vectors: The Scalar or Dot Product Arkansas Tech University MATH 934: Calculus III Dr. Marcel B Finan 9 Multiplication of Vectors: The Scalar or Dot Product Up to this point we have defined what vectors are and discussed basic notation

More information

f x a 0 n 1 a 0 a 1 cos x a 2 cos 2x a 3 cos 3x b 1 sin x b 2 sin 2x b 3 sin 3x a n cos nx b n sin nx n 1 f x dx y

f x a 0 n 1 a 0 a 1 cos x a 2 cos 2x a 3 cos 3x b 1 sin x b 2 sin 2x b 3 sin 3x a n cos nx b n sin nx n 1 f x dx y Fourier Series When the French mathematician Joseph Fourier (768 83) was tring to solve a problem in heat conduction, he needed to epress a function f as an infinite series of sine and cosine functions:

More information

x y The matrix form, the vector form, and the augmented matrix form, respectively, for the system of equations are

x y The matrix form, the vector form, and the augmented matrix form, respectively, for the system of equations are Solving Sstems of Linear Equations in Matri Form with rref Learning Goals Determine the solution of a sstem of equations from the augmented matri Determine the reduced row echelon form of the augmented

More information

Vector Algebra CHAPTER 13. Ü13.1. Basic Concepts

Vector Algebra CHAPTER 13. Ü13.1. Basic Concepts CHAPTER 13 ector Algebra Ü13.1. Basic Concepts A vector in the plane or in space is an arrow: it is determined by its length, denoted and its direction. Two arrows represent the same vector if they have

More information

Physics 235 Chapter 1. Chapter 1 Matrices, Vectors, and Vector Calculus

Physics 235 Chapter 1. Chapter 1 Matrices, Vectors, and Vector Calculus Chapter 1 Matrices, Vectors, and Vector Calculus In this chapter, we will focus on the mathematical tools required for the course. The main concepts that will be covered are: Coordinate transformations

More information

G. GRAPHING FUNCTIONS

G. GRAPHING FUNCTIONS G. GRAPHING FUNCTIONS To get a quick insight int o how the graph of a function looks, it is very helpful to know how certain simple operations on the graph are related to the way the function epression

More information

www.mathsbox.org.uk Displacement (x) Velocity (v) Acceleration (a) x = f(t) differentiate v = dx Acceleration Velocity (v) Displacement x

www.mathsbox.org.uk Displacement (x) Velocity (v) Acceleration (a) x = f(t) differentiate v = dx Acceleration Velocity (v) Displacement x Mechanics 2 : Revision Notes 1. Kinematics and variable acceleration Displacement (x) Velocity (v) Acceleration (a) x = f(t) differentiate v = dx differentiate a = dv = d2 x dt dt dt 2 Acceleration Velocity

More information

Ax 2 Cy 2 Dx Ey F 0. Here we show that the general second-degree equation. Ax 2 Bxy Cy 2 Dx Ey F 0. y X sin Y cos P(X, Y) X

Ax 2 Cy 2 Dx Ey F 0. Here we show that the general second-degree equation. Ax 2 Bxy Cy 2 Dx Ey F 0. y X sin Y cos P(X, Y) X Rotation of Aes ROTATION OF AES Rotation of Aes For a discussion of conic sections, see Calculus, Fourth Edition, Section 11.6 Calculus, Earl Transcendentals, Fourth Edition, Section 1.6 In precalculus

More information

Geometry of Vectors. 1 Cartesian Coordinates. Carlo Tomasi

Geometry of Vectors. 1 Cartesian Coordinates. Carlo Tomasi Geometry of Vectors Carlo Tomasi This note explores the geometric meaning of norm, inner product, orthogonality, and projection for vectors. For vectors in three-dimensional space, we also examine the

More information

MATH 102 College Algebra

MATH 102 College Algebra FACTORING Factoring polnomials ls is simpl the reverse process of the special product formulas. Thus, the reverse process of special product formulas will be used to factor polnomials. To factor polnomials

More information

A vector is a directed line segment used to represent a vector quantity.

A vector is a directed line segment used to represent a vector quantity. Chapters and 6 Introduction to Vectors A vector quantity has direction and magnitude. There are many examples of vector quantities in the natural world, such as force, velocity, and acceleration. A vector

More information

Systems of Linear Equations: Solving by Substitution

Systems of Linear Equations: Solving by Substitution 8.3 Sstems of Linear Equations: Solving b Substitution 8.3 OBJECTIVES 1. Solve sstems using the substitution method 2. Solve applications of sstems of equations In Sections 8.1 and 8.2, we looked at graphing

More information

Chapter 4 One Dimensional Kinematics

Chapter 4 One Dimensional Kinematics Chapter 4 One Dimensional Kinematics 41 Introduction 1 4 Position, Time Interval, Displacement 41 Position 4 Time Interval 43 Displacement 43 Velocity 3 431 Average Velocity 3 433 Instantaneous Velocity

More information

Simulation of Electromagnetic Leakage from a Microwave Oven

Simulation of Electromagnetic Leakage from a Microwave Oven Simulation of Electromagnetic Leakage from a Microwave Oven Ana Maria Rocha (1), Margarida Facão (), João Pedro Sousa (3), António Viegas (4) (1) Departamento de Física, Universidade de Aveiro, Teka Portugal

More information

Identifying second degree equations

Identifying second degree equations Chapter 7 Identifing second degree equations 7.1 The eigenvalue method In this section we appl eigenvalue methods to determine the geometrical nature of the second degree equation a 2 + 2h + b 2 + 2g +

More information

ES240 Solid Mechanics Fall 2007. Stress field and momentum balance. Imagine the three-dimensional body again. At time t, the material particle ( x, y,

ES240 Solid Mechanics Fall 2007. Stress field and momentum balance. Imagine the three-dimensional body again. At time t, the material particle ( x, y, S40 Solid Mechanics Fall 007 Stress field and momentum balance. Imagine the three-dimensional bod again. At time t, the material particle,, ) is under a state of stress ij,,, force per unit volume b b,,,.

More information

CHAP 4 FINITE ELEMENT ANALYSIS OF BEAMS AND FRAMES INTRODUCTION

CHAP 4 FINITE ELEMENT ANALYSIS OF BEAMS AND FRAMES INTRODUCTION CHAP FINITE EEMENT ANAYSIS OF BEAMS AND FRAMES INTRODUCTION We learned Direct Stiffness Method in Chapter imited to simple elements such as D bars we will learn Energ Method to build beam finite element

More information

Zeros of Polynomial Functions. The Fundamental Theorem of Algebra. The Fundamental Theorem of Algebra. zero in the complex number system.

Zeros of Polynomial Functions. The Fundamental Theorem of Algebra. The Fundamental Theorem of Algebra. zero in the complex number system. _.qd /7/ 9:6 AM Page 69 Section. Zeros of Polnomial Functions 69. Zeros of Polnomial Functions What ou should learn Use the Fundamental Theorem of Algebra to determine the number of zeros of polnomial

More information

SOLID MECHANICS TUTORIAL MECHANISMS KINEMATICS - VELOCITY AND ACCELERATION DIAGRAMS

SOLID MECHANICS TUTORIAL MECHANISMS KINEMATICS - VELOCITY AND ACCELERATION DIAGRAMS SOLID MECHANICS TUTORIAL MECHANISMS KINEMATICS - VELOCITY AND ACCELERATION DIAGRAMS This work covers elements of the syllabus for the Engineering Council exams C105 Mechanical and Structural Engineering

More information

1.3. DOT PRODUCT 19. 6. If θ is the angle (between 0 and π) between two non-zero vectors u and v,

1.3. DOT PRODUCT 19. 6. If θ is the angle (between 0 and π) between two non-zero vectors u and v, 1.3. DOT PRODUCT 19 1.3 Dot Product 1.3.1 Definitions and Properties The dot product is the first way to multiply two vectors. The definition we will give below may appear arbitrary. But it is not. It

More information

y cos 3 x dx y cos 2 x cos x dx y 1 sin 2 x cos x dx

y cos 3 x dx y cos 2 x cos x dx y 1 sin 2 x cos x dx Trigonometric Integrals In this section we use trigonometric identities to integrate certain combinations of trigonometric functions. We start with powers of sine and cosine. EXAMPLE Evaluate cos 3 x dx.

More information

Double Integrals in Polar Coordinates

Double Integrals in Polar Coordinates Double Integrals in Polar Coordinates. A flat plate is in the shape of the region in the first quadrant ling between the circles + and +. The densit of the plate at point, is + kilograms per square meter

More information

Solving Quadratic Equations by Graphing. Consider an equation of the form. y ax 2 bx c a 0. In an equation of the form

Solving Quadratic Equations by Graphing. Consider an equation of the form. y ax 2 bx c a 0. In an equation of the form SECTION 11.3 Solving Quadratic Equations b Graphing 11.3 OBJECTIVES 1. Find an ais of smmetr 2. Find a verte 3. Graph a parabola 4. Solve quadratic equations b graphing 5. Solve an application involving

More information

Vector Algebra. Addition: (A + B) + C = A + (B + C) (associative) Subtraction: A B = A + (-B)

Vector Algebra. Addition: (A + B) + C = A + (B + C) (associative) Subtraction: A B = A + (-B) Vector Algebra When dealing with scalars, the usual math operations (+, -, ) are sufficient to obtain any information needed. When dealing with ectors, the magnitudes can be operated on as scalars, but

More information

Section 11.1: Vectors in the Plane. Suggested Problems: 1, 5, 9, 17, 23, 25-37, 40, 42, 44, 45, 47, 50

Section 11.1: Vectors in the Plane. Suggested Problems: 1, 5, 9, 17, 23, 25-37, 40, 42, 44, 45, 47, 50 Section 11.1: Vectors in the Plane Page 779 Suggested Problems: 1, 5, 9, 17, 3, 5-37, 40, 4, 44, 45, 47, 50 Determine whether the following vectors a and b are perpendicular. 5) a = 6, 0, b = 0, 7 Recall

More information

Slope-Intercept Form and Point-Slope Form

Slope-Intercept Form and Point-Slope Form Slope-Intercept Form and Point-Slope Form In this section we will be discussing Slope-Intercept Form and the Point-Slope Form of a line. We will also discuss how to graph using the Slope-Intercept Form.

More information

Example 1: Model A Model B Total Available. Gizmos. Dodads. System:

Example 1: Model A Model B Total Available. Gizmos. Dodads. System: Lesson : Sstems of Equations and Matrices Outline Objectives: I can solve sstems of three linear equations in three variables. I can solve sstems of linear inequalities I can model and solve real-world

More information

Incremental Reduction of Binary Decision Diagrams

Incremental Reduction of Binary Decision Diagrams Abstract Incremental Reduction of Binar Decision Diagrams R. Jacobi, N. Calazans, C. Trullemans. Université de Louvain Laboratoire de Microélectronique - Place du Levant, 3 B1348 Louvain-la-Neuve Belgium

More information

Vector Algebra II: Scalar and Vector Products

Vector Algebra II: Scalar and Vector Products Chapter 2 Vector Algebra II: Scalar and Vector Products We saw in the previous chapter how vector quantities may be added and subtracted. In this chapter we consider the products of vectors and define

More information

Product Operators 6.1 A quick review of quantum mechanics

Product Operators 6.1 A quick review of quantum mechanics 6 Product Operators The vector model, introduced in Chapter 3, is ver useful for describing basic NMR eperiments but unfortunatel is not applicable to coupled spin sstems. When it comes to two-dimensional

More information

that satisfies (2). Then (3) ax 0 + by 0 + cz 0 = d.

that satisfies (2). Then (3) ax 0 + by 0 + cz 0 = d. Planes.nb 1 Plotting Planes in Mathematica Copright 199, 1997, 1 b James F. Hurle, Universit of Connecticut, Department of Mathematics, Unit 39, Storrs CT 669-39. All rights reserved. This notebook discusses

More information

Colegio del mundo IB. Programa Diploma REPASO 2. 1. The mass m kg of a radio-active substance at time t hours is given by. m = 4e 0.2t.

Colegio del mundo IB. Programa Diploma REPASO 2. 1. The mass m kg of a radio-active substance at time t hours is given by. m = 4e 0.2t. REPASO. The mass m kg of a radio-active substance at time t hours is given b m = 4e 0.t. Write down the initial mass. The mass is reduced to.5 kg. How long does this take?. The function f is given b f()

More information

SERVO CONTROL SYSTEMS 1: DC Servomechanisms

SERVO CONTROL SYSTEMS 1: DC Servomechanisms Servo Control Sstems : DC Servomechanisms SERVO CONTROL SYSTEMS : DC Servomechanisms Elke Laubwald: Visiting Consultant, control sstems principles.co.uk ABSTRACT: This is one of a series of white papers

More information

D.2. The Cartesian Plane. The Cartesian Plane The Distance and Midpoint Formulas Equations of Circles. D10 APPENDIX D Precalculus Review

D.2. The Cartesian Plane. The Cartesian Plane The Distance and Midpoint Formulas Equations of Circles. D10 APPENDIX D Precalculus Review D0 APPENDIX D Precalculus Review SECTION D. The Cartesian Plane The Cartesian Plane The Distance and Midpoint Formulas Equations of Circles The Cartesian Plane An ordered pair, of real numbers has as its

More information

SAMPLE. Polynomial functions

SAMPLE. Polynomial functions Objectives C H A P T E R 4 Polnomial functions To be able to use the technique of equating coefficients. To introduce the functions of the form f () = a( + h) n + k and to sketch graphs of this form through

More information

Linear Algebra: Vectors

Linear Algebra: Vectors A Linear Algebra: Vectors A Appendix A: LINEAR ALGEBRA: VECTORS TABLE OF CONTENTS Page A Motivation A 3 A2 Vectors A 3 A2 Notational Conventions A 4 A22 Visualization A 5 A23 Special Vectors A 5 A3 Vector

More information

Click here for answers.

Click here for answers. CHALLENGE PROBLEMS: CHALLENGE PROBLEMS 1 CHAPTER A Click here for answers S Click here for solutions A 1 Find points P and Q on the parabola 1 so that the triangle ABC formed b the -ais and the tangent

More information

The elements used in commercial codes can be classified in two basic categories:

The elements used in commercial codes can be classified in two basic categories: CHAPTER 3 Truss Element 3.1 Introduction The single most important concept in understanding FEA, is the basic understanding of various finite elements that we employ in an analysis. Elements are used for

More information

Find the Relationship: An Exercise in Graphing Analysis

Find the Relationship: An Exercise in Graphing Analysis Find the Relationship: An Eercise in Graphing Analsis Computer 5 In several laborator investigations ou do this ear, a primar purpose will be to find the mathematical relationship between two variables.

More information

Chapter 5: Indeterminate Structures Slope-Deflection Method

Chapter 5: Indeterminate Structures Slope-Deflection Method Chapter 5: Indeterminate Structures Slope-Deflection Method 1. Introduction Slope-deflection method is the second of the two classical methods presented in this course. This method considers the deflection

More information

1.6. Piecewise Functions. LEARN ABOUT the Math. Representing the problem using a graphical model

1.6. Piecewise Functions. LEARN ABOUT the Math. Representing the problem using a graphical model . Piecewise Functions YOU WILL NEED graph paper graphing calculator GOAL Understand, interpret, and graph situations that are described b piecewise functions. LEARN ABOUT the Math A cit parking lot uses

More information

5.2 Inverse Functions

5.2 Inverse Functions 78 Further Topics in Functions. Inverse Functions Thinking of a function as a process like we did in Section., in this section we seek another function which might reverse that process. As in real life,

More information