A finite-difference method for the prediction of velocity field in extrusion process
|
|
|
- Tyler Payne
- 10 years ago
- Views:
Transcription
1 Journal of Food Engineering 83 (2007) A finite-difference method for the prediction of velocit field in etrusion process Gino Ferretti, Roberto Montanari * Dipartimento di Ingegneria Industriale, Università degli Studi di Parma, Viale delle Sciene, Parma, Ital Received 26 September 2006; received in revised form 30 December 2006; accepted 3 Januar 2007 Available online 18 Januar 2007 Abstract Etrusion defects and flow instabilities are an important limitation in most product processing operations. Investigation of the fluid kinematics to deduce the dnamical response of the fluid can be ver useful to characterie these instabilities and understand the mechanisms involved in their triggering and enhancement. To do so, the flow of a Newtonian fluid through a screw press has been studied in order to predict the downstream velocit field in etrusion process. Flow in the screw press is modeled b adapting the classical theor of single screw etrusion. Some publications have addressed this subject matter, especiall in the nineties. However, most of these publications develop models that are not so eas to appl. To complement those earlier works, an approimate model base on finite-difference method is developed. The models in this paper ma be considered as of pedagogical value because of the ease of their application; nonetheless, results are obtained basing on the real etruding conditions, such as a general screw geometr. In order to achieve this pedagogical purpose, three important properties pertaining to model building are considered in this article. These properties are applicabilit, simplicit, and level of technique applied. Moreover, the models introduced in this paper are straightforward application b both practitioners and students. The ease of the applicabilit is confirmed b the suitabilit to adopt a widel emploed software, such as Microsoft Ecel, to implement the model developed. Ó 2007 Elsevier Ltd. All rights reserved. Kewords: Etrusion; Finite-difference; Downstream velocit field 1. Introduction At the beginning, single screw etruders have been widel used in the polmer industr, but in the last decades the have been etensivel applied in the ceramic, food and pharmaceutical industries, due to the fact that the are cheap, robust and continuous. Etruders geometr is an important parameter of the etrusion process, since it affects shear rate and residence time values, involving direct outcomes on the qualit of the final product. Defects and flow instabilities are important limitations in processing operations of most etruded products. Investigating fluid kinematics to deduce the * Corresponding author. Tel.: ; fa: address: [email protected] (R. Montanari). dnamical response of the fluid can be ver useful to characterie those instabilities and understand the mechanisms involved in their triggering and enhancement. In addition, better control on the downstream velocit field in etrusion process can be a significant source of qualit differentiation between food products. In other words, a more regular profile and lower values of the mean shear rate along the etruder determine a reduced gelatiniation of the compound. Conversel, etruders characteried b high values of shear rate can involve several issues in controlling the final qualit of the products, due to the comple behavior of the shear rate profile along the screw ais. On the ground of these premises, models for predicting the etrusion process variables have been receiving ever increasing attention b the researchers. Until the 1970s, food etrusion was regarded as an art rather than a science; thus, onl trained and eperienced personnel could handle /$ - see front matter Ó 2007 Elsevier Ltd. All rights reserved. doi: /j.jfoodeng
2 G. Ferretti, R. Montanari / Journal of Food Engineering 83 (2007) Nomenclature D b R s W H h h b l V s internal barrel diameter screw root radius rotation sped of screw width of channel at the internal radius of barrel channel depth heli angle of screw heli angle of screw at internal barrel radius that is R s + H viscosit of the Newtonian fluid screw root velocit down channel coordinate channel depth coordinate channel width coordinate V, V, V velocit component of, and directions pressure gradient in down channel direction o o o n i, j pressure gradient in channel depth direction pressure gradient in channel width direction generic node (i,j) inanw * nh grid mesh nw, nh number of nodes along and direction h, h distance between two adjacent nodes along and direction Q leakage volumetric flow rate of leakage flow such equipment. However, over the past 30 ears and especiall in the nineties, several models have been developed to predict process throughput, energ requirements, miing patterns and residence time distribution of etruders. One of the earliest models for single screw etrusion was presented b Darnell and Mol (1956). The model developed b the authors described plug flow of a solid feed material along a screw of constant pitch and depth. The original approach proposed b Darnell and Mol (1956) has been subsequentl developed b Burbidge and Bridgwater (1995), Englander, Burbidge, and Blackburn (2000), b adding the rheological parameters characteriing past feed materials. Following a similar approach, further authors focused on etrusion process for food materials. Among recent works, Vergnes, Le Rou, Chaurand, and Abécassis (1995), developed and eperimentall validated a thermomechanical model for pasta etrusion. More specificall, the flow along the screw channel was computed using finite element simulation and described b means of an approimate model, which has been derived starting from wellknown analses of plastic etrusion. Karwe, Chiruvella, and Jaluria (1996), studied the behavior of starch-based materials under high temperature environment, b a numerical simulation of flow inside a single screw etruder. Else, Riepenhausen, Mcka, Barton, and Willis (1997), developed a fleible dnamic model of the etrusion process in order to predict and control realistic qualit variables, such as product gelatiniation fraction. Along the same line, the earlier work of Blackburn, Bottena, and Burbidgea (2003), presented a general one-dimensional model for the prediction of the pressure field in single screw etrusion including corrections for non-constant channel depth in the screw. As stated above, several models have been developed and presented on etrusion processes. Nevertheless, the analsis of the scientific literature has pointed out that the issue of accurate predicting the velocit distributions has been somehow neglected. In particular, issues such as how to predict the downstream velocit field in etrusion processes have not received the required attention in technical literature and onl few authors faced this challenge. Both mathematical and eperimental approaches have been emploed to achieve the required accurac in order to describe and solve more realistic generalied problems. Choo, Neelakantan, and Pittman (1980), developed a computer model for flow in a single-screw etruder, pumping a Newtonian liquid under isothermal and developed flow conditions. Flow rate, screw speed, and pressure gradient characteristics were measured, and a tracer particle technique was emploed to determine channel velocit profiles. The data were required for the testing the model which takes into consideration channel curvature. Using the resulting eperimental data, Li and Hsieh (1996), developed and tested an analtical solution of an isothermal, Newtonian fluid in a single screw etruder with finite channel. Following this analtical approach, Yu and Gunasekaran (2003), proposed and tested a numerical approach to anale flow field and heat transfer developed inside a single-screw channel. Finite-difference and finite element methods were used to obtain numerical solutions for flow and energ equations also in the case of non-newtonian fluids. Along the same line, but more focused on eperimental approaches, Bakalis, Co, Russell, Parker, and Frer (2006), analed velocit distributions in single-screw etruder a speciall designed and manufactured, b using positron emitting particle tracking. In particular, velocit profiles in the etruder, that could be predicted b computational fluid dnamics were generated, measured and compared to the eperimental data b setting process parameters, flow rate and rotational speed in the range used in commercial processes. On the ground of literature analsis, it can be right stated that most of the papers eamined present approaches that are able to accuratel predict the downstream velocit field in etrusion process. However, it is also self-evident that the wa approaches were developed has can significantl affect both their practical applicabilit and their degree of current adoption. Generall speaking, the higher the accurac of the approach proposed, the higher the resulting compleit of the model; consequentl, higher difficulties ma be involved in prac-
3 86 G. Ferretti, R. Montanari / Journal of Food Engineering 83 (2007) tical implementation of the model itself. As a result, a necessar trade-offs between model compleit and practical applicabilit rise. Moreover, in some cases a detailed eplanation on how to appl well-know techniques, such as finite-difference methods, eploiting widel emploed software (e.g. MS Ecel) should be considered as essential for the applicabilit of the models developed. The analsis of scientific literature related to the etrusion process, and in particular to the downstream velocit field, has pointed out that the issue of how readers could appl the proposed models has been somehow neglected. Based on these premises, the aim of this paper is twofold. First, we propose a finite-difference approach for predicting the downstream velocit field in etrusion process. Fluid flow in the screw press is modeled b adopting the classical theor of single screw etrusion for Newtonian fluids in a general screw geometr. In addition, we present a detailed numerical case stud, in order to provide the required knowledge for a quickl propagation of the model without epensive and obscure software. Usuall, these tools act as black boes where onl few people know how the work and consequentl onl few people have a full control on them. To overcome this problem the numerical case stud is developed step b step b user-friendl and widel emploed software as MS Ecel. The model proposed in this paper ma be considered as of pedagogical value because of its applicabilit, simplicit, and good performance in predicting the velocit field values. Moreover, the model introduced in this paper is of straightforward application b both practitioners and students. The ease of the applicabilit is confirmed b the suitabilit to adopt a widel emploed software, such as Microsoft Ecel, to implement the model developed. The good performance of the model is confirmed b the comparison between numerical results and eperimental data from published literature. This stud is part of a wider project aiming to control microbiological parameters of etruded products. The whole project is founded b Regione Emilia-Romagna inside the PRRITT (Programma Regionale per la Ricerca Industriale, l Innovaione e il Trasferimento Tecnologico). 2. Safet emphasis This stud is part of a wider project whose aim is to define process operative leverages in order to control microbiological polluters in food etruded products. In particular, a mathematical model, and subsequentl a simulation software, will be developed in order to predict phsical properties affecting the proliferation of microbiological polluters in products during the whole process. Thanks to the software developed, proper conditions could be designed to optimie the safet of the etrusion process. 3. Mathematical formulation The material fed to the screw etruder passes through a relativel long, shallow helical channel formed b the flight of the screw. The channel bounded b the inner surface of the barrel, the root of the screw and the flight. In order to simplif the problem man approaches hpothesie stationar screws and rotating barrels (in opposite direction). This does not alter the analsis when the internal barrel diameter is much larger then the channel depth. Nevertheless, Li and Hsieh (1996), underlined the source of error and the proposed a new analtical solution for flow in etruder with a rotating screw and stationar barrel. In accordance with Li and Hsieh (1996), and in order to provide better and more realistic results, the model developed eploits a rotating screw and stationar barrel approach. The channel and the screw geometr studied is qualitativel shown in Fig. 1; in the scheme,, and represent channel down stream, channel height and channel width directions, respectivel. Since in man practical etruders the height of the screw channel is much less than the barrel diameter, the screw curvature is assumed to be ver small. As a consequence, the barrel surface and the screw channels can be mathematicall modelled as unwrapped. In other words, from a geometrical point of view, the higher the ratio of the barrel diameter to the height of screw channel, the lower screw curvature should be and the screw channel tends to become flat plate. This does not alter the analsis, since centrifugal force are negligible. In order to further simplif the problem, the following assumptions are commonl used without losses in accurac: fluids flow is assumed as laminar, since the ver high viscosit of the common etruded fluid (>10 3 Pa s) leads to Renolds numbers much less than unit; the inertia terms in the Navier Stokes equation can be neglected in comparison with viscous and pressure terms; gravitational force is negligible; the fluid is incompressible and Newtonian; the flow is full developed; no slips at the walls occur. Under these hpotheses, equations describing fluid motion for this problem in rectangular coordinates can be epressed as follows: o ¼ l o2 V o 2 þ o2 V o 2 o ¼ l o2 V o þ o2 V 2 o 2 o ¼ l o2 V o þ o2 V 2 o 2 component component component Assuming that V 0, which is a reasonable assumption for screws with a small channel depth to width ratio, ð1þ
4 G. Ferretti, R. Montanari / Journal of Food Engineering 83 (2007) Barrel H D b ω W R s θ Lead Barrel H V V s θ V Screw W Fig. 1. Real and unwrapped geometr of a single screw etruder. H/W, and using the continuit equation; then, ov /o 0, ov /o 0, and ov /o 0. Thus Eq. (1) becomes: o ¼ l o2 V o þ o2 V 2 o 2 component o 0 component ð2þ o l o2 V o 2 component The above simplified equations of motion can be found in Li and Hsieh (1996). Since the proposed model utilies a rotating screw and stationar barrel approach, boundar conditions should take into account the screw velocit. In particular, the screw flight velocities are not constant but variable as a function of the radius; from the mathematical point of view, in the case of the -component the function is epressed in the following boundar conditions: Barrel Screw root Screw flights V ð; HÞ ¼0 V ð0; Þ ¼R s cosðhþ V ð0; Þ ¼ðR s þ Þ cosðhþ V ðw ; Þ ¼ðR s þ Þ cosðhþ ð3þ As can be seen from the above equations, the -component of Eq. (2) is a non-homogeneous, second order partial differential equation with non-homogeneous boundar conditions. Li and Hsieh (1996), proposed an analtical solution of this problem for finite rectangular channel. In order to etend the solution to a general duct geometr, a finite-difference method is applied to solve the differential -component equation. To this etent, the domain is discretied b imposing a grid defined for a set of nodes n i, j (see Fig. 2). On the ground of these premises, the -component of the above equation can be written in discrete form as follows (the mesh is an nw * nh grid along and direction, respectivel): o l V ði þ 1; jþ 2V ði; jþþv ði 1; jþ h 2 þ V ði; j þ 1Þ 2V ði; jþþv ði; j 1Þ ð4þ h 2 Hence, for an estimated pressure gradient in the down channel direction, the component of velocit V (i,j) for the (i,j) node in direction becomes:!
5 88 G. Ferretti, R. Montanari / Journal of Food Engineering 83 (2007) n 1,nH n i+1,j n i,j-1 n i,j n i,j+1 n i-1,j n 3,1 n 2,1 n 1,1 n 1,2 n 1,3 n 1,nW Fig. 2. Discretied domain. " V ði; jþ h2 h2 V ði þ 1; jþþv ði 1; jþ 2ðh 2 þ h2 Þ h 2 # þ V ði; j þ 1ÞþV ði; j 1Þ 1 ð5þ h 2 l o It is noteworth that the velocit value in the generic node (i,j) is a function of the velocit values close to the node itself, and, in particular, these are the velocit value at the up node V (i +1,j), the velocit value at the down node V (i 1,j), the velocit value on the right side node V (i,j + 1), and the velocit value on the left side node V (i,j 1) as shown in Figs. 2 and 4. These velocit values have been derived in the previous iteration and are assumed as constants for the current iteration. Since boundar conditions are constant along the procedure, Eq. (5) can be adopted iterativel for each node in the mesh (ecept the boundar nodes) until a required level of accurac is achieved. Based on the same rationale, slanted walls of the channel can be taken into account b a suitable mesh as shown in Fig. 3. As an oblique line can be shown in a PC monitor b piels, slanted walls of the channel can be modeled b rectangular grid and, as can be seen in Fig. 3, the higher the number of nodes, the higher the qualit of the model should be. As shown in Li and Hsieh (1996), for the cross channel flow, component of Eq. (2) can be integrated twice to ield: V ¼ R s sin h b ðh Þ H 4. Software implementation h 3 iþ H 1 6Q leakage ½H 2 Š Nowadas, commercial solutions are available to solve comple fluid dnamic problem, although these solutions are often epensive, unknown, and not user friendl if compared to spreadsheet programs which are H 3 available in widespread, cheap and user friendl software packages as MS Office, Star Office or Open Office. Besides, as stated above, the commercial solutions for solving comple fluid dnamic problem, in several cases, act as black boes and onl few people know how the eactl work; consequentl, few people have a full control on them. This means that few people can utilie and full understand the outcomes from the software. Conversel, when adopting user friendl and widel emploed softwares, a general model can become a powerful tool for a large number of users. To this etent, and due to its wide emploment, a MS Ecel implementation of the presented approach has been developed. Due to its framework, MS Ecel is particularl suitable to solve the finite different approach. As well known, it is structured b cells can contain labels, numerical values and mathematical relationships between cells. Due to its similarit to the finite different approach, this structure is particularl appropriate to describe the mesh and the mathematical relationships between each node. In other words, each cell in MS Ecel is approached as a node, where both numerical value and analtical formula represent the down stream velocit and the mathematical relationship to solve the problem, respectivel. Moreover, thank to the large number of available cells, MS Ecel is particularl suitable to be adopted to implement the iterative approach required to achieve a defined level of accurac. Once the number of nodes is defined, the cells in MS Ecel to be implemented, can be identified. Clearl, the higher the number of nodes of the mesh, and consequentl the number of cells involved, the higher the resulting accurac of the model. Following the boundar conditions of Eqs. (3), the boundar cells have to be implemented with the respective formulation, whereas the others cells have to be initiall set to 0. Fig. 4 shows the mesh (the boundar cells are in gre) at the iterative step 0, the related data and the screw flights velocit formulation in a boundar cell on the left side.
6 G. Ferretti, R. Montanari / Journal of Food Engineering 83 (2007) Fig. 3. Discretied domain with slanted walls. Fig. 4. MS Ecel application at the iterative step 0. In order to develop the iterative procedure, a set of tables have to be computed. In other words, Eq. (5) has to be adopted for the inside cells where the velocit values close to the specific cell (i.e. V (i,j + 1), V (i,j 1), V (i +1,j) and V (i 1,j)) are obtained in the previous table and are treated as constants values
7 90 G. Ferretti, R. Montanari / Journal of Food Engineering 83 (2007) Fig. 5. Iterative MS Ecel application. for the current table (see Fig. 5). To this etent, to implementing the iterative procedure the user can quickl cop the second table as shown in Fig. 5. The higher the number of iterations, and consequentl the number of tables computed, the higher the accurac of the model. It is noteworth that the above implementation developed for a rectangular channel can be easil etended to applications for general channel geometr: different geometries can be built b simpl adding and/or removing opportune cells in MS Ecel. Table 2 Down channel velocit =15mm V (mm) Numerical (mm/s) Analtical (mm/s) Comparison (%) Results To assess validit and accurac of the proposed approach, results provided b the finite-difference methodolog are compared with those presented in published papers. Since eperimental and/or analtical data are currentl available onl for rectangular channel, the application is developed with a rectangular dept. The Table 1 Pertinent data H 10 mm W 30 mm h 1 mm h 1 mm nh 11 nw 31 R s 9 mm l 10,000 Pa s / b Rad /s V mm/s /o 5000 Pa/mm predicted down channel velocit is compared with the analtical solution proposed b Li and Hsieh (1996), whose approach was validated b eperimental results measured b Choo et al. (1980). Table 1 shows the pertinent data, while Table 2 shows the down channel velocit computed and the comparison results in the middle of the channel. As can be observed from Table 2, the difference is less than 1% even when onl a mesh is used. These results are obtained after onl 79 iterations. Clearl, the higher the number of iterations and the higher the number of nodes in the mesh, the higher the accurac should be. It is noteworth that the user can suitabl set these two parameters in order to achieve a desired level of accurac. In this case stud, the maimum difference less than 1% from the analtical solution proposed b Li and Hsieh (1996), is the criteria utilied for deciding when the solution had converged. In Fig. 6, the three dimensional down channel velocit representation is shown b MS Ecel surface graph.
8 G. Ferretti, R. Montanari / Journal of Food Engineering 83 (2007) Fig. 6. A three dimensional down channel velocit representation. 6. Conclusions The paper proposes a finite-difference approach for solving the down channel velocit in a single screw etruder of a Newtonian fluid. The approach completes those eisting in toda s literature b adding an efficient as well as eas to appl procedure to obtain the velocit field. Moreover, the model ma be considered as of pedagogical value because of its applicabilit, simplicit, and level of technique applied. Moreover, the model introduced in this paper is of straightforward application b both practitioners and students. Since of a user friendl, widel emploed, and cheap software as MS Ecel is utilied for implementing the model, the proposed approach becomes an interesting and practical tool aiming at a quickl propagation. In other words, this stud has presented a tool that can be adopted b ever people for constructing the screw characteristics and the analing the etruder performance. The predicted down channel velocit data are compared with the analtical data of Li and Hsieh (1996), that were validated with the eperimental data of Choo et al. (1980). Testing the proposed approach for a small mash (10 30 nodes), has ielded less than 1% difference, providing good findings of the methodolog developed. The full developed velocit profile reveals important information about the effect of the screw flight. Besides, it represents the starting point for the fluid dnamic and thermodnamic approach for the purposes of screw design and etrusion simulation.
9 92 G. Ferretti, R. Montanari / Journal of Food Engineering 83 (2007) Acknowledgement The authors appreciate the efforts and the constructive comments of the anonmous reviewers that have helped in sharpening the manuscript. References Bakalis, S., Co, P. W., Russell, A. B., Parker, D. J., & Frer, P. J. (2006). Development and use of positron emitting particle tracking (PEPT) for velocit measurements in viscous fluids in pilot scale equipment. Chemical Engineering Science, 61, Blackburn, S., Bottena, J., & Burbidgea, A. S. (2003). A model to predict the pressure development in single screw etrusion. Journal of Materials Processing Technolog, 135(2 3), Burbidge, A. S., & Bridgwater, J. (1995). The single screw etrusion of pastes. Chemical Engineering Science, 50, Choo, K. P., Neelakantan, N. R., & Pittman, J. F. T. (1980). Eperimental deep-channel velocit profiles and operating characteristics for a single-screw etruder. Polmer Engineering and Science, 20, Darnell, W. H., & Mol, E. A. J. (1956). Solids conveing in screw etruders. Social Phsics Engineering Journal, Else, J., Riepenhausen, J., Mcka, B., Barton, B., & Willis, M. (1997). Modeling and control of a food etrusion process. Computers and Chemical Engineering, 21, Englander, A., Burbidge, A. S., & Blackburn, S. (2000). A preliminar evaluation of single screw paste etrusion. Chemical Engineering Research and Design, 78, Karwe, M. V., Chiruvella, R. V., & Jaluria, Y. (1996). Numerical simulation of the etrusion porcess for food materials in a single-screw etruder. Journal of Food Engineering, 30, Li, Y., & Hsieh, F. (1996). Modelling of flow in a single screw etruder. Journal of Food Engineering, 27, Vergnes, B., Le Rou, D., Chaurand, M., & Abécassis, J. (1995). A thermo-mechanical approach to pasta etrusion. Journal of Food Engineering, 26, Yu, C., & Gunasekaran, S. (2003). Modeling of melt conveing in a deepchannel single-screw cheese stretcher. Journal of Food Engineering, 61(2),
Practice Problems on the Navier-Stokes Equations
ns_0 A viscous, incompressible, Newtonian liquid flows in stead, laminar, planar flow down a vertical wall. The thickness,, of the liquid film remains constant. Since the liquid free surface is eposed
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
Simulation of magneto-hydrodynamic (MHD) flows: electric potential formulation
Simulation of magneto-hdrodnamic (MHD) flows: electric potential formulation, Ola Widlund 5th OpenFOAM workshop Göteborg, June 22-24, 2010 Outline Motivations for studing MHD flows Wh a formulation with
Practice Problems on Boundary Layers. Answer(s): D = 107 N D = 152 N. C. Wassgren, Purdue University Page 1 of 17 Last Updated: 2010 Nov 22
BL_01 A thin flat plate 55 by 110 cm is immersed in a 6 m/s stream of SAE 10 oil at 20 C. Compute the total skin friction drag if the stream is parallel to (a) the long side and (b) the short side. D =
Understanding Plastics Engineering Calculations
Natti S. Rao Nick R. Schott Understanding Plastics Engineering Calculations Hands-on Examples and Case Studies Sample Pages from Chapters 4 and 6 ISBNs 978--56990-509-8-56990-509-6 HANSER Hanser Publishers,
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
Differential Relations for Fluid Flow. Acceleration field of a fluid. The differential equation of mass conservation
Differential Relations for Fluid Flow In this approach, we apply our four basic conservation laws to an infinitesimally small control volume. The differential approach provides point by point details of
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
Boundary Conditions in lattice Boltzmann method
Boundar Conditions in lattice Boltzmann method Goncalo Silva Department of Mechanical Engineering Instituto Superior Técnico (IST) Lisbon, Portugal Outline Introduction 1 Introduction Boundar Value Problems
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,,,.
EXPANDING THE CALCULUS HORIZON. Hurricane Modeling
EXPANDING THE CALCULUS HORIZON Hurricane Modeling Each ear population centers throughout the world are ravaged b hurricanes, and it is the mission of the National Hurricane Center to minimize the damage
Control of Temperature Profile in the Injection Molding Process for Part Consistency
17 th European Symposium on Computer Aided Process Engineering ESCAPE17 V. Plesu and P.S. Agachi (Editors) 2007 Elsevier B.V. All rights reserved. 1 Control of Temperature Profile in the Injection Molding
Laminar Flow and Heat Transfer of Herschel-Bulkley Fluids in a Rectangular Duct; Finite-Element Analysis
Tamkang Journal of Science and Engineering, Vol. 12, No. 1, pp. 99 107 (2009) 99 Laminar Flow and Heat Transfer of Herschel-Bulkley Fluids in a Rectangular Duct; Finite-Element Analysis M. E. Sayed-Ahmed
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
AN EFFECT OF GRID QUALITY ON THE RESULTS OF NUMERICAL SIMULATIONS OF THE FLUID FLOW FIELD IN AN AGITATED VESSEL
14 th European Conference on Mixing Warszawa, 10-13 September 2012 AN EFFECT OF GRID QUALITY ON THE RESULTS OF NUMERICAL SIMULATIONS OF THE FLUID FLOW FIELD IN AN AGITATED VESSEL Joanna Karcz, Lukasz Kacperski
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
NUMERICAL ANALYSIS OF THE EFFECTS OF WIND ON BUILDING STRUCTURES
Vol. XX 2012 No. 4 28 34 J. ŠIMIČEK O. HUBOVÁ NUMERICAL ANALYSIS OF THE EFFECTS OF WIND ON BUILDING STRUCTURES Jozef ŠIMIČEK email: [email protected] Research field: Statics and Dynamics Fluids mechanics
Tensions of Guitar Strings
1 ensions of Guitar Strings Darl Achilles 1/1/00 Phsics 398 EMI Introduction he object of this eperiment was to determine the tensions of various tpes of guitar strings when tuned to the proper pitch.
Zero and Negative Exponents and Scientific Notation. a a n a m n. Now, suppose that we allow m to equal n. We then have. a am m a 0 (1) a m
0. E a m p l e 666SECTION 0. OBJECTIVES. Define the zero eponent. Simplif epressions with negative eponents. Write a number in scientific notation. Solve an application of scientific notation We must have
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.
Computational fluid dynamics (CFD) 9 th SIMLAB Course
Computational fluid dnamics (CFD) 9 th SIMLAB Course Janos Benk October 3-9, Janos Benk: Computational fluid dnamics (CFD) www5.in.tum.de/wiki/inde.php/lab_course_computational_fluid_dnamics_-_summer_
Ravi Kumar Singh*, K. B. Sahu**, Thakur Debasis Mishra***
Ravi Kumar Singh, K. B. Sahu, Thakur Debasis Mishra / International Journal of Engineering Research and Applications (IJERA) ISSN: 48-96 www.ijera.com Vol. 3, Issue 3, May-Jun 3, pp.766-77 Analysis of
TWO-DIMENSIONAL FINITE ELEMENT ANALYSIS OF FORCED CONVECTION FLOW AND HEAT TRANSFER IN A LAMINAR CHANNEL FLOW
TWO-DIMENSIONAL FINITE ELEMENT ANALYSIS OF FORCED CONVECTION FLOW AND HEAT TRANSFER IN A LAMINAR CHANNEL FLOW Rajesh Khatri 1, 1 M.Tech Scholar, Department of Mechanical Engineering, S.A.T.I., vidisha
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
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
HEAT TRANSFER ANALYSIS IN A 3D SQUARE CHANNEL LAMINAR FLOW WITH USING BAFFLES 1 Vikram Bishnoi
HEAT TRANSFER ANALYSIS IN A 3D SQUARE CHANNEL LAMINAR FLOW WITH USING BAFFLES 1 Vikram Bishnoi 2 Rajesh Dudi 1 Scholar and 2 Assistant Professor,Department of Mechanical Engineering, OITM, Hisar (Haryana)
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
Collision of a small bubble with a large falling particle
EPJ Web of Conferences 67, 212 (214) DOI: 1.11/ epjconf/ 21467212 C Owned by the authors, published by EDP Sciences, 214 Collision of a small bubble with a large falling particle Jiri Vejrazka 1,a, Martin
. Address the following issues in your solution:
CM 3110 COMSOL INSTRUCTIONS Faith Morrison and Maria Tafur Department of Chemical Engineering Michigan Technological University, Houghton, MI USA 22 November 2012 Zhichao Wang edits 21 November 2013 revised
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
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
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
Laminar-Turbulent Transition: Calculation of Minimum Critical Reynolds Number in Channel Flow
Laminar-Turbulent Transition: Calculation of Minimum Critical Renolds Number in Channel Flow Hidesada Kanda Universit of Aizu, Aizu-Wakamatsu, Fukushima 965-8580, Japan [email protected] Abstract A conceptual
ME6130 An introduction to CFD 1-1
ME6130 An introduction to CFD 1-1 What is CFD? Computational fluid dynamics (CFD) is the science of predicting fluid flow, heat and mass transfer, chemical reactions, and related phenomena by solving numerically
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
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
1. Fluids Mechanics and Fluid Properties. 1.1 Objectives of this section. 1.2 Fluids
1. Fluids Mechanics and Fluid Properties What is fluid mechanics? As its name suggests it is the branch of applied mechanics concerned with the statics and dynamics of fluids - both liquids and gases.
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
Core Maths C2. Revision Notes
Core Maths C Revision Notes November 0 Core Maths C Algebra... Polnomials: +,,,.... Factorising... Long division... Remainder theorem... Factor theorem... 4 Choosing a suitable factor... 5 Cubic equations...
The Viscosity of Fluids
Experiment #11 The Viscosity of Fluids References: 1. Your first year physics textbook. 2. D. Tabor, Gases, Liquids and Solids: and Other States of Matter (Cambridge Press, 1991). 3. J.R. Van Wazer et
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
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
Express Introductory Training in ANSYS Fluent Lecture 1 Introduction to the CFD Methodology
Express Introductory Training in ANSYS Fluent Lecture 1 Introduction to the CFD Methodology Dimitrios Sofialidis Technical Manager, SimTec Ltd. Mechanical Engineer, PhD PRACE Autumn School 2013 - Industry
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()
Models for Mining Equipment Selection
Models for Mining Equipment Selection 1 Burt, C., 1 Caccetta, L., 1 Hill, S. and 2 Welgama, P. 1 Curtin Universit of Technolog, 2 Rio Tinto Technical Services, Perth Australia, E-Mail: [email protected]
Scalar Transport. Introduction. T. J. Craft George Begg Building, C41. Eddy-Diffusivity Modelling. TPFE MSc Advanced Turbulence Modelling
School of Mechanical Aerospace and Civil Engineering TPFE MSc Advanced Turbulence Modelling Scalar Transport T. J. Craft George Begg Building, C41 Reading: S. Pope, Turbulent Flows D. Wilco, Turbulence
Linear Equations in Two Variables
Section. Sets of Numbers and Interval Notation 0 Linear Equations in Two Variables. The Rectangular Coordinate Sstem and Midpoint Formula. Linear Equations in Two Variables. Slope of a Line. Equations
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
INTRODUCTION TO FLUID MECHANICS
INTRODUCTION TO FLUID MECHANICS SIXTH EDITION ROBERT W. FOX Purdue University ALAN T. MCDONALD Purdue University PHILIP J. PRITCHARD Manhattan College JOHN WILEY & SONS, INC. CONTENTS CHAPTER 1 INTRODUCTION
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
6. The given function is only drawn for x > 0. Complete the function for x < 0 with the following conditions:
Precalculus Worksheet 1. Da 1 1. The relation described b the set of points {(-, 5 ),( 0, 5 ),(,8 ),(, 9) } is NOT a function. Eplain wh. For questions - 4, use the graph at the right.. Eplain wh the graph
4 Constrained Optimization: The Method of Lagrange Multipliers. Chapter 7 Section 4 Constrained Optimization: The Method of Lagrange Multipliers 551
Chapter 7 Section 4 Constrained Optimization: The Method of Lagrange Multipliers 551 LEVEL CURVES 2 7 2 45. f(, ) ln 46. f(, ) 6 2 12 4 16 3 47. f(, ) 2 4 4 2 (11 18) 48. Sometimes ou can classif the critical
C3: Functions. Learning objectives
CHAPTER C3: Functions Learning objectives After studing this chapter ou should: be familiar with the terms one-one and man-one mappings understand the terms domain and range for a mapping understand the
Effect of Aspect Ratio on Laminar Natural Convection in Partially Heated Enclosure
Universal Journal of Mechanical Engineering (1): 8-33, 014 DOI: 10.13189/ujme.014.00104 http://www.hrpub.org Effect of Aspect Ratio on Laminar Natural Convection in Partially Heated Enclosure Alireza Falahat
Basic Principles in Microfluidics
Basic Principles in Microfluidics 1 Newton s Second Law for Fluidics Newton s 2 nd Law (F= ma) : Time rate of change of momentum of a system equal to net force acting on system!f = dp dt Sum of forces
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
3 Optimizing Functions of Two Variables. Chapter 7 Section 3 Optimizing Functions of Two Variables 533
Chapter 7 Section 3 Optimizing Functions of Two Variables 533 (b) Read about the principle of diminishing returns in an economics tet. Then write a paragraph discussing the economic factors that might
CEE 370 Fall 2015. Laboratory #3 Open Channel Flow
CEE 70 Fall 015 Laboratory # Open Channel Flow Objective: The objective of this experiment is to measure the flow of fluid through open channels using a V-notch weir and a hydraulic jump. Introduction:
CBE 6333, R. Levicky 1 Review of Fluid Mechanics Terminology
CBE 6333, R. Levicky 1 Review of Fluid Mechanics Terminology The Continuum Hypothesis: We will regard macroscopic behavior of fluids as if the fluids are perfectly continuous in structure. In reality,
Higher. Polynomials and Quadratics 64
hsn.uk.net Higher Mathematics UNIT OUTCOME 1 Polnomials and Quadratics Contents Polnomials and Quadratics 64 1 Quadratics 64 The Discriminant 66 3 Completing the Square 67 4 Sketching Parabolas 70 5 Determining
Introduction to COMSOL. The Navier-Stokes Equations
Flow Between Parallel Plates Modified from the COMSOL ChE Library module rev 10/13/08 Modified by Robert P. Hesketh, Chemical Engineering, Rowan University Fall 2008 Introduction to COMSOL The following
Modelling musical chords using sine waves
Modelling musical chords using sine waves Introduction From the stimulus word Harmon, I chose to look at the transmission of sound waves in music. As a keen musician mself, I was curious to understand
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
Functions and Graphs CHAPTER INTRODUCTION. The function concept is one of the most important ideas in mathematics. The study
Functions and Graphs CHAPTER 2 INTRODUCTION The function concept is one of the most important ideas in mathematics. The stud 2-1 Functions 2-2 Elementar Functions: Graphs and Transformations 2-3 Quadratic
CE415L Applied Fluid Mechanics Laboratory. Experiment: No. 5 Open Channel Flow Measurements and Grade Lines
CE415L pplied Fluid Mechanics Laborator Experiment: No. 5 Open Channel Flow Measurements and Grade Lines Learning Objective Following the completion of this experiment and the analsis of the data, ou should
NUMERICAL INVESTIGATIONS ON HEAT TRANSFER IN FALLING FILMS AROUND TURBULENCE WIRES
NUMERICAL INVESTIGATIONS ON HEAT TRANSFER IN FALLING FILMS AROUND TURBULENCE WIRES Abstract H. Raach and S. Somasundaram Thermal Process Engineering, University of Paderborn, Paderborn, Germany Turbulence
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
Lecture 6 - Boundary Conditions. Applied Computational Fluid Dynamics
Lecture 6 - Boundary Conditions Applied Computational Fluid Dynamics Instructor: André Bakker http://www.bakker.org André Bakker (2002-2006) Fluent Inc. (2002) 1 Outline Overview. Inlet and outlet boundaries.
Dimensional analysis is a method for reducing the number and complexity of experimental variables that affect a given physical phenomena.
Dimensional Analysis and Similarity Dimensional analysis is very useful for planning, presentation, and interpretation of experimental data. As discussed previously, most practical fluid mechanics problems
Chapter 2. Derivation of the Equations of Open Channel Flow. 2.1 General Considerations
Chapter 2. Derivation of the Equations of Open Channel Flow 2.1 General Considerations Of interest is water flowing in a channel with a free surface, which is usually referred to as open channel flow.
Open channel flow Basic principle
Open channel flow Basic principle INTRODUCTION Flow in rivers, irrigation canals, drainage ditches and aqueducts are some examples for open channel flow. These flows occur with a free surface and the pressure
Radial-axial Radial mixing is based on the premise that the fluids to be mixed enter the mixer in the correct proportions simultaneously
Brochure E-0501 1 Introduction. Static mixers are used for a wide range of applications including mixing, heat exchange and dispersion, due to numerous unique innovations our products are especially suitable
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.
Adaptation of General Purpose CFD Code for Fusion MHD Applications*
Adaptation of General Purpose CFD Code for Fusion MHD Applications* Andrei Khodak Princeton Plasma Physics Laboratory P.O. Box 451 Princeton, NJ, 08540 USA [email protected] Abstract Analysis of many fusion
Area Coverage Vs Event Detection in Mixed Sensor Networks
Area Coverage Vs Event Detection in Mied Sensor Networks Theofanis P. Lambrou and Christos G. Panaiotou KIOS Research Center, Dept. of Electrical and Computer Engineering, Universit of Cprus, Nicosia,
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
An Efficient Numerical Method for Solving the Eigenvalue Problem Associated with a Quasi-Geostrophic Fluid Flow
An Efficient Numerical Method for Solving the Eigenvalue Problem Associated with a Quasi-Geostrophic Fluid Flow Sushil Shett, SID: 5578395 MATH 22 Class Project, Spring 23 Universit of California, Berkele
Design of heat exchangers
Design of heat exchangers Exchanger Design Methodology The problem of heat exchanger design is complex and multidisciplinary. The major design considerations for a new heat exchanger include: process/design
High Speed Aerodynamics Prof. K. P. Sinhamahapatra Department of Aerospace Engineering Indian Institute of Technology, Kharagpur
High Speed Aerodynamics Prof. K. P. Sinhamahapatra Department of Aerospace Engineering Indian Institute of Technology, Kharagpur Module No. # 01 Lecture No. # 06 One-dimensional Gas Dynamics (Contd.) We
Analytic Models of the ROC Curve: Applications to Credit Rating Model Validation
QUANTITATIVE FINANCE RESEARCH CENTRE QUANTITATIVE FINANCE RESEARCH CENTRE Research Paper 8 August 2006 Analtic Models of the ROC Curve: Applications to Credit Rating Model Validation Stephen Satchell and
AP Calculus AB 2005 Scoring Guidelines Form B
AP Calculus AB 5 coring Guidelines Form B The College Board: Connecting tudents to College uccess The College Board is a not-for-profit membership association whose mission is to connect students to college
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...
A NOVEL FAMILY OF MATHEMATICAL SELF-CALIBRATION ADDITIONAL PARAMETERS FOR AIRBORNE CAMERA SYSTEMS
A NOVEL FAMILY OF MATHEMATICAL SELF-CALIBRATION ADDITIONAL PARAMETERS FOR AIRBORNE CAMERA SYSTEMS R. Tang*, D. Fritsch, M. Cramer Institute for Photogrammetr (ifp), Universit of Stuttgart, Geschwister-Scholl-Str.
Module 1 : Conduction. Lecture 5 : 1D conduction example problems. 2D conduction
Module 1 : Conduction Lecture 5 : 1D conduction example problems. 2D conduction Objectives In this class: An example of optimization for insulation thickness is solved. The 1D conduction is considered
Chapter 8. Lines and Planes. By the end of this chapter, you will
Chapter 8 Lines and Planes In this chapter, ou will revisit our knowledge of intersecting lines in two dimensions and etend those ideas into three dimensions. You will investigate the nature of planes
Imagine a cube with any side length. Imagine increasing the height by 2 cm, the. Imagine a cube. x x
OBJECTIVES Eplore functions defined b rddegree polnomials (cubic functions) Use graphs of polnomial equations to find the roots and write the equations in factored form Relate the graphs of polnomial equations
K-Means Cluster Analysis. Tan,Steinbach, Kumar Introduction to Data Mining 4/18/2004 1
K-Means Cluster Analsis Chapter 3 PPDM Class Tan,Steinbach, Kumar Introduction to Data Mining 4/18/4 1 What is Cluster Analsis? Finding groups of objects such that the objects in a group will be similar
RELAMINARIZATION OF TURBULENT CHANNEL FLOW USING TRAVELING WAVE-LIKE WALL DEFORMATION
RELAMINARIZATION OF TURBULENT CHANNEL FLOW USING TRAVELING WAVE-LIKE WALL DEFORMATION Rio Nakanishi, Koji Fukagata, Hiroa Mamori Department of Mechanical Engineering Keio Universit Hioshi --, Kohoku-ku,
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
Fatigue analysis of catenary contact wires for high speed trains
Fatigue analsis of catenar contact wires for high speed trains J.P. Massat 1, T.M.L. Nguen-Tajan 1, H. Maitournam 2, E. Balmès 3 and A. Bobillot 4 1 : Research Department, French Railwas (SNCF), Paris,
Performance prediction of a centrifugal pump working in direct and reverse mode using Computational Fluid Dynamics
European Association for the Development of Renewable Energies, Environment and Power Quality (EA4EPQ) International Conference on Renewable Energies and Power Quality (ICREPQ 10) Granada (Spain), 23rd
Florida Algebra I EOC Online Practice Test
Florida Algebra I EOC Online Practice Test Directions: This practice test contains 65 multiple-choice questions. Choose the best answer for each question. Detailed answer eplanations appear at the end
Experiment 3 Pipe Friction
EML 316L Experiment 3 Pipe Friction Laboratory Manual Mechanical and Materials Engineering Department College of Engineering FLORIDA INTERNATIONAL UNIVERSITY Nomenclature Symbol Description Unit A cross-sectional
