Numerical Analysis of the Natural Gas Combustion Products

Size: px
Start display at page:

Download "Numerical Analysis of the Natural Gas Combustion Products"

Transcription

1 Energy and Power Engneerng, 2012, 4, Publshed Onlne September 2012 ( Numercal Analyss of the Natural Gas Combuston Products Fernando Rueda Martínez 1, Mguel Toledo Velázquez 1, Georgy Polupan 1, Juan Abugaber Francs 1, Gullermo Jarquín López 2, Celerno Reséndz Rosas 3, José Ángel Ortega errera 4 1 Researchng and Graduate Secton, Appled ydraulcs and Thermal Engneerng Laboratory, ESIME-IPN, Mexco Cty, Mexco 2 Researchng and Graduate Secton, ESIME Culhuacan-IPN, Mexco Cty, Mexco 3 Researchng and Graduate Secton, Pachuca Technologcal Insttute, Pachuca dalgo, Mexco 4 Researchng and Graduate Secton, Desgn Department, ESIME-IPN, Mexco Cty, Mexco Emal: mtv49@yahoocom Receved June 5, 2012; revsed July 8, 2012; accepted July 22, 2012 ABSTRACT The combuston ucts of fuels contanng the elements C,, O, N and S are calculated The methodology s based on the equatons obtaned n the stochometrc balance of atoms The adabatc flame temperature s determned consderng that the pressure of the boler furnace remans constant The scope of ths work s lmted to the analyss of natural gas (methane) wth molecular formula C 4 The methodology can, however, be employed for the calculaton of combuston ucts of a great varety of hydrocarbons under the establshed restrctons In the development of the methodology two cases are contemplated: Φ 1 (lean and stochometrc mxture) and Φ > 1 (rch mxture) In the frst case t s consdered that when the combuston s complete, the combuston ucts are O 2, 2 O, CO 2, N 2, SO 2, and the soluton follows drectly When the combuston s ncomplete, however, the ucts, O, N, 2, O, CO, NO, O 2, 2 O, CO 2, N 2 and SO 2 can be generated, accordng to Stephen R Turns (2000) When balances of atoms are performed, four conservaton equatons are obtaned, one for each of the C, O, and N elements An addtonal restrcton requres that the sum of the molar fractons of the ucts equals one mol Fnally, seven equlbrum constants, correspondng to the seven chemcal ons of combuston, are ntroduced All ths provdes a system of four nonlnear equatons whch s solved wth the Newton-Raphson method Keywords: Combuston Products; Adabatc Flame; Stochometrc Mxture 1 Introducton It was therefore decded here to develop a specfc purpose computatonal program for the calculaton of the combuston ucts of bolers burnng natural gas and fuel ol Informaton about computatonal codes that handle combuston problems are referenced n the lterature There s for example the one developed by Olkara and Borman [1], the CEC76 [2], developed by NASA and the powerful CEC86 [3] also from NASA (CEC stands for Chemcal Equlbrum Code) A more recent code reported n the lterature s the STANJAN developed by the Stanford Unversty n 1986 [4] All these codes are, as mentoned above, extensve and dffcult to obtan Ths motvated the development of the present methodology, mplemented as a computatonal program for the calculaton of the combuston ucts n bolers For ths specfc case the, composton of the natural gas s: 2 = 84%; C 4 = 802%; CO 4 = 05%; C 2 4 = 20%; C 2 6 = 45%; C 3 6 = 06%; C 3 8 = 03%; C 4 4 = 34% and S = 01% Ths data corresponds to the power plant named Jorge Luque, located n the State of Mexco, n Mexco In the course of development of the system of equatons the equvalence rato Φ s taken nto account as a varable whch can take dfferent values accordng to the fuel-ar ratos of the boler The contamnants (CO, SO 2, NO) are calculated These orgnate n the complete and ncomplete combuston of the fuel-ar mxture n chemcal equlbrum condtons Furthermore, the requred equlbrum constants are computed as functon of the temperature employng least squares polynomal fttng The data employed for the fttng s taken from the tables of thermo-chemcal propertes of JANAF (1985) The range of temperatures for the fttng polynomals s from 600 K to 4000 K 2 Methodology In the thermodynamcs of equlbrum, the mxng of fuel wth composton C n, m, O l, N k, S j (accordng to Davd R Lde [5]) wth ar, n an equvalence rato of, releases combuston ucts n a state of equlbrum at

2 354 F RUEDA MARTÍNEZ ET AL temperature T and pressure P The numbers n and m cannot be zero; l, k and j, on the other hand, could or could not be zero Furthermore, accordng to Stephen R Turn [6], twelve combuston ucts are formed when there s dssocaton due to hgh temperature The resultng combuston equaton for these elements s: (Equaton (1), below) The equvalence rato s commonly employed to quanttatvely ndcate f the fuel-ar mxture s rch, lean or stochometrc The equvalence rato s defned as: AF Stoch F A AF F A (2) Stoch Ths defnton shows that for rch fuel mxtures > 1 whle for lean fuel mxtures < 1; for a stochometrc mxture = 1 In many combuston applcatons, the equvalence rato s the most mportant factor for the determnaton of the system s effcency The values of 1 through 12 are the molar fractons of the combuston ucts; the value of 13, on the other hand, represents the number of moles of fuel requred to obtan one mol of combuston ucts Equaton (1) can be smplfed to obtan 13 nc m js ro2 rn 2 1 2O 3N 42 5O 6CO 7NO (3) O O CO N SO where n j l k r r 4 2 0; r 376 r0; r0 2 2 Performng a balance of atoms for each element of the fuel one obtans C :n (4) :m 2 2 (5) O:2r (6) N :2r 2 (7) S :j13 12 (8) An addtonal condton s mposed to the former system, namely that the sum of all molar fractons of the ucts must be equal to one mol That s 12 1 (9) 1 Atmospherc ar s an Oxygen and Ntrogen mxture wth slght quanttes of Carbon Anhydrous, Argon and Water Steam Its composton slghtly vares wth humdty and alttude When water steam presence s not consdered n atmospherc ar composton, t s known as dry ar Ths work consders the dry ar composton as follows 21% Oxygen and 79% Ntrogen Thus the 79% N 2 fracton refers to N 2, CO 2 and Ar mxture, whch s known as atmospherc Ntrogen That way, there s 021 mol of Oxygen and 079 mol of Ntrogen n each dry ar mol That s to say: 1DA = 021O N 2 Determnng the Adabatc Flame Temperature (Frst Law of the Thermodynamcs) The combuston ucts are determned for a pressure of one atmosphere and at the adabatc flame temperature For ths reason, the frst thng to do s to determne the temperature of the adabatc flame for complete methane s combuston Assumptons n the applcaton of the frst law of the thermodynamcs for the boler furnace (Fgure 1): 1) The control volume s fxed to the coordnate system; 2) The flud propertes at each pont wthn the control volume do not change wth tme; 3) The flud propertes are unform at all nlet and outlet flows; 4) There s only one nlet and one ext for the flud n the control volume consdered Thus, the frst law can be wrtten as h h (10) 0, T P T, P (11) The enthalpy of the ants s Nh Nfuelhfuel NO ho NN hn (12) ad kJ kmol dm 0, de cv cv 0 dt m e P dt m e P e Inlet, Q W Ext, e Fgure 1 Control volume for the statonary flow n the boler furnace n e Cn m Ol Nk Sj O2 376N2 O N O CO NO O O CO N SO (1)

3 F RUEDA MARTÍNEZ ET AL 355 The enthalpy of the ucts s Nh (13) N h c T f, p, ad Tad Tad Tad 298 Equatng wth, and solvng for T ad gves T K ad Once the adabatc flame temperature s determned the next step s to calculate the combuston ucts Below the flow dagram of computatonal FORTRAN program for complete combuston s presented START Φ = 01 C = 10 S = 00 N = 00 = 40 O = 00 n j r l r r0 2 k r' 376r m r 2 r ' 4 8 r13 025m13 n13 j m13 10 n r13 12 j13 SUM , 9, 10, 11, 12,, SUM COMB END 3 Results Sample solved example 1: Fuel: C 4; Equvalence rato : 10; Total pressure: 1 atm; Reactants temperature: 298 K; Adabatc flame temperature: K; Sample solved example 2: numercal soluton; Fuel: C 4 ; Equvalence rato : 110; Total pressure: 1 atm; Reactants temperature: 298 K; Adabatc flame temperature obtaned per teraton: 2195 K The results of the numercal soluton, Tables 1 and 2 above, were used n order to make some adjustments to the geometry and confguraton of a combuston gas turbne, Fgure 2, based on some qualtatve conclusons and quanttatve results obtaned from the theoretcal study of thermodynamcs, flud mechancs and chemcal knetcs appled to turbulent combuston phenomena order to optmze ts performance and reduce the gaseous pollutants Table 1 Results of the combuston ucts for Φ = 1 Results of the combuston ucts burnng natural gas at Φ = 10 X (O 2 ) E+000 X ( 2 O) X (CO 2 ) X (N 2 ) X (SO 2 ) X (COMB) E E E E E 002 SUM Table 2 Results of the combuston ucts for Φ = 110 X ( 2 ) X (CO) X (O 2 ) X (N 2 ) E E E E 001 X () E 002 X (O) E 003 X (N) X (O) X (NO) X ( 2 O) X (CO 2 ) X (SO 2 ) SUM E E E E E E E 001

4 356 F RUEDA MARTÍNEZ ET AL formaton rate The model that was taken as a startng pont s the tubular combuston chamber whch s located the Appled Thermal and ydraulcs Engneerng Laboratory (LABINTAP) of the Mechancal Engneerng School, Natonal Polytechnc Insttute The specfc objectve of these amendments s to mnmze the concentraton of unburned hydrocarbons, carbon monoxde and ntrogen oxdes n the combustor exhaust by reachng a unform temperature dstrbuton wthn t by adaptng the ar and fuel flow patterns, Fgure 3 In order to have a reference for comparson, only modfcatons were made n the flame tube of the chamber, leavng unchanged the case The geometry of the prmary zone nlet secton as well as the sze and layout of the dluton holes were changed and an annular confguraton was used for fuel njecton The proposed geometry for the camera was drawn usng the mesh generaton software GAMBIT The smulaton of ts operaton, as well as measurement of ts performance parameters were carred out usng the computatonal flow smulaton tool FLUENT The results of computer smulaton show that the geometry of the prmary zone, the nlet temperature and Fuel nlet Prmary ar Secondary ar Flame tube Tertary Injector Swrl vanes Combuston Mxture and dluton zone Zone Fgure 2 Schematc dagram of a contnuous combuston chamber ar Towards gas turbne Fgure 3 Temperature feld of the modfed prmary zone locaton of the fuel njector have a consderable nfluence on the performance parameters of the camera Wth these smple adjustments to the combuston chamber there was an effcency ncrease from 76% to 9999% whle the ntrc oxde levels were reduced from 105 to 12 ppm wth respect to the actual model 4 Conclusons The development of the equatons s based n balances from atom s conservaton, consderng that the chemcal composton of the fuel contans only the elements C,, O, N and S The ar s dry, contanng only ntrogen and oxygen Furthermore, for a complete combuston (Φ = 1) t s possble to get n the soluton a maxmum of fve ucts; for an ncomplete combuston (Φ = 110), on the other hand, up to twelve ucts can be present n the soluton The polynomals for the equlbrum constants as functon of the temperature were obtaned employng least squares fttng method The range of temperature for whch the polynomals are vald s 600 K through 4000 K n accordance wth the data of JANAF tables (1986) The molar fractons of the combuston ucts are obtaned for the adabatc flame temperature In order to compute the ucts the methodology s dvded n two parts: one s for 1 and the other for > 1 The developed methodology can be employed n the calculaton of the combuston ucts for dfferent values of the equvalence rato Φ Ths can be done for a great varety of hydrocarbons wth known molecular formulas and whch meet the establshed restrctons Ths methodology has been appled to engneerng n order to make some adjustments to the geometry and confguraton of a gas turbne combuston optmzng ts performance and reducng the gaseous pollutants formaton rate and mnmzng the concentraton of unburned hydrocarbons, carbon monoxde and ntrogen oxdes n the combustor exhaust by reachng a unform temperature dstrbuton wthn t by adaptng the ar and fuel flow patterns REFERENCES [1] M J Moran and N Shapro, Fundamentals of Engneerng Thermodynamcs, John Wley and Sons, New York, 2000 [2] J Mathews, Numercal Methods for Mathematcs, Scence and Engneerng, 2nd Edton, Prentce all, Englewood Clffs, 1992 [3] G Zrkel and E Berlnger, Understandng Fortran 77 and 90, PWS Publshng Company, Boston, 1994 [4] J Warnatz, U Maas and R W Dbble, Combuston Physcal and Chemcal Fundamentals, Modelng and Smulaton, Experments, Pollutant Formaton, 3rd Edton,

5 F RUEDA MARTÍNEZ ET AL 357 Sprnger-Verlang, Berlín edelberg, 2001 [6] S R Turns, An Introducton to Combustón Concepts [5] D R Lde, CRC andbook of Chemstry and Physcs, and Applcatons, 2nd Edton, McGraw ll, New York, 71st Edton, Nomenclature α Rato of oxygen contents to fuel contents, kmol/kmol f Nonlnear functons for the molar fractons Φ Equvalence rato for the fuel-ar mxture h Enthalpy per mol of ucts K p Equlbrum constants for partal pressures M Number of atoms of ydrogen n the molecule of fuel n Number of atoms of Carbon n the molecule of fuel l Number of atoms of Oxygen n the molecule of fuel k Number of atoms of Ntrogen n the molecule of fuel j Number of atoms of Sulfur n the molecule of fuel P Total pressure, Pa P Partal pressures of ucts, Pa T Temperature, K f A, j Coeffcents of the Jacoban matrx j T, j Dervatves of molar fractons j 1 Molar fracton of the monatomc hydrogen () ucts 2 Molar fracton of the monatomc oxygen (O) ucts 3 Molar fracton of the monatomc ntrogen (N) ucts 4 Molar fracton of the hydrogen ( 2 ) ucts 5 Molar fracton of the hydroxyl (O) ucts 6 Molar fracton of the carbon monoxde (CO) ucts 7 Molar fracton of the ntrogen oxdes (NO) ucts 8 Molar fracton of oxygen (O 2 ) n the ucts 9 Molar fracton of water vapor ( 2 O) n the ucts 10 Molar fracton of carbon doxde (CO 2 ) n the ucts 11 Molar fracton of ntrogen (N 2 ) n the ucts 12 Molar fracton of sulfur doxde (SO 2 ) n the ucts 13 Amount of moles of combustble to form one mol of ucts

"Research Note" APPLICATION OF CHARGE SIMULATION METHOD TO ELECTRIC FIELD CALCULATION IN THE POWER CABLES *

Research Note APPLICATION OF CHARGE SIMULATION METHOD TO ELECTRIC FIELD CALCULATION IN THE POWER CABLES * Iranan Journal of Scence & Technology, Transacton B, Engneerng, ol. 30, No. B6, 789-794 rnted n The Islamc Republc of Iran, 006 Shraz Unversty "Research Note" ALICATION OF CHARGE SIMULATION METHOD TO ELECTRIC

More information

A hybrid global optimization algorithm based on parallel chaos optimization and outlook algorithm

A hybrid global optimization algorithm based on parallel chaos optimization and outlook algorithm Avalable onlne www.ocpr.com Journal of Chemcal and Pharmaceutcal Research, 2014, 6(7):1884-1889 Research Artcle ISSN : 0975-7384 CODEN(USA) : JCPRC5 A hybrd global optmzaton algorthm based on parallel

More information

1. Fundamentals of probability theory 2. Emergence of communication traffic 3. Stochastic & Markovian Processes (SP & MP)

1. Fundamentals of probability theory 2. Emergence of communication traffic 3. Stochastic & Markovian Processes (SP & MP) 6.3 / -- Communcaton Networks II (Görg) SS20 -- www.comnets.un-bremen.de Communcaton Networks II Contents. Fundamentals of probablty theory 2. Emergence of communcaton traffc 3. Stochastc & Markovan Processes

More information

The issue of June, 1925 of Industrial and Engineering Chemistry published a famous paper entitled

The issue of June, 1925 of Industrial and Engineering Chemistry published a famous paper entitled Revsta Cêncas & Tecnologa Reflectons on the use of the Mccabe and Thele method GOMES, João Fernando Perera Chemcal Engneerng Department, IST - Insttuto Superor Técnco, Torre Sul, Av. Rovsco Pas, 1, 1049-001

More information

DEFINING %COMPLETE IN MICROSOFT PROJECT

DEFINING %COMPLETE IN MICROSOFT PROJECT CelersSystems DEFINING %COMPLETE IN MICROSOFT PROJECT PREPARED BY James E Aksel, PMP, PMI-SP, MVP For Addtonal Informaton about Earned Value Management Systems and reportng, please contact: CelersSystems,

More information

Damage detection in composite laminates using coin-tap method

Damage detection in composite laminates using coin-tap method Damage detecton n composte lamnates usng con-tap method S.J. Km Korea Aerospace Research Insttute, 45 Eoeun-Dong, Youseong-Gu, 35-333 Daejeon, Republc of Korea yaeln@kar.re.kr 45 The con-tap test has the

More information

8.5 UNITARY AND HERMITIAN MATRICES. The conjugate transpose of a complex matrix A, denoted by A*, is given by

8.5 UNITARY AND HERMITIAN MATRICES. The conjugate transpose of a complex matrix A, denoted by A*, is given by 6 CHAPTER 8 COMPLEX VECTOR SPACES 5. Fnd the kernel of the lnear transformaton gven n Exercse 5. In Exercses 55 and 56, fnd the mage of v, for the ndcated composton, where and are gven by the followng

More information

APPLICATION OF COMPUTER PROGRAMMING IN OPTIMIZATION OF TECHNOLOGICAL OBJECTIVES OF COLD ROLLING

APPLICATION OF COMPUTER PROGRAMMING IN OPTIMIZATION OF TECHNOLOGICAL OBJECTIVES OF COLD ROLLING Journal Journal of Chemcal of Chemcal Technology and and Metallurgy, 50, 6, 50, 2015, 6, 2015 638-643 APPLICATION OF COMPUTER PROGRAMMING IN OPTIMIZATION OF TECHNOLOGICAL OBJECTIVES OF COLD ROLLING Abdrakhman

More information

CHOLESTEROL REFERENCE METHOD LABORATORY NETWORK. Sample Stability Protocol

CHOLESTEROL REFERENCE METHOD LABORATORY NETWORK. Sample Stability Protocol CHOLESTEROL REFERENCE METHOD LABORATORY NETWORK Sample Stablty Protocol Background The Cholesterol Reference Method Laboratory Network (CRMLN) developed certfcaton protocols for total cholesterol, HDL

More information

substances (among other variables as well). ( ) Thus the change in volume of a mixture can be written as

substances (among other variables as well). ( ) Thus the change in volume of a mixture can be written as Mxtures and Solutons Partal Molar Quanttes Partal molar volume he total volume of a mxture of substances s a functon of the amounts of both V V n,n substances (among other varables as well). hus the change

More information

Institute of Informatics, Faculty of Business and Management, Brno University of Technology,Czech Republic

Institute of Informatics, Faculty of Business and Management, Brno University of Technology,Czech Republic Lagrange Multplers as Quanttatve Indcators n Economcs Ivan Mezník Insttute of Informatcs, Faculty of Busness and Management, Brno Unversty of TechnologCzech Republc Abstract The quanttatve role of Lagrange

More information

On the Optimal Control of a Cascade of Hydro-Electric Power Stations

On the Optimal Control of a Cascade of Hydro-Electric Power Stations On the Optmal Control of a Cascade of Hydro-Electrc Power Statons M.C.M. Guedes a, A.F. Rbero a, G.V. Smrnov b and S. Vlela c a Department of Mathematcs, School of Scences, Unversty of Porto, Portugal;

More information

A Secure Password-Authenticated Key Agreement Using Smart Cards

A Secure Password-Authenticated Key Agreement Using Smart Cards A Secure Password-Authentcated Key Agreement Usng Smart Cards Ka Chan 1, Wen-Chung Kuo 2 and Jn-Chou Cheng 3 1 Department of Computer and Informaton Scence, R.O.C. Mltary Academy, Kaohsung 83059, Tawan,

More information

Mean Molecular Weight

Mean Molecular Weight Mean Molecular Weght The thermodynamc relatons between P, ρ, and T, as well as the calculaton of stellar opacty requres knowledge of the system s mean molecular weght defned as the mass per unt mole of

More information

Comparison of Control Strategies for Shunt Active Power Filter under Different Load Conditions

Comparison of Control Strategies for Shunt Active Power Filter under Different Load Conditions Comparson of Control Strateges for Shunt Actve Power Flter under Dfferent Load Condtons Sanjay C. Patel 1, Tushar A. Patel 2 Lecturer, Electrcal Department, Government Polytechnc, alsad, Gujarat, Inda

More information

BERNSTEIN POLYNOMIALS

BERNSTEIN POLYNOMIALS On-Lne Geometrc Modelng Notes BERNSTEIN POLYNOMIALS Kenneth I. Joy Vsualzaton and Graphcs Research Group Department of Computer Scence Unversty of Calforna, Davs Overvew Polynomals are ncredbly useful

More information

Analysis of Reactivity Induced Accident for Control Rods Ejection with Loss of Cooling

Analysis of Reactivity Induced Accident for Control Rods Ejection with Loss of Cooling Analyss of Reactvty Induced Accdent for Control Rods Ejecton wth Loss of Coolng Hend Mohammed El Sayed Saad 1, Hesham Mohammed Mohammed Mansour 2 Wahab 1 1. Nuclear and Radologcal Regulatory Authorty,

More information

Jet Engine. Figure 1 Jet engine

Jet Engine. Figure 1 Jet engine Jet Engne Prof. Dr. Mustafa Cavcar Anadolu Unversty, School of Cvl Avaton Esksehr, urkey GROSS HRUS INAKE MOMENUM DRAG NE HRUS Fgure 1 Jet engne he thrust for a turboet engne can be derved from Newton

More information

FLASH POINT DETERMINATION OF BINARY MIXTURES OF ALCOHOLS, KETONES AND WATER. P.J. Martínez, E. Rus and J.M. Compaña

FLASH POINT DETERMINATION OF BINARY MIXTURES OF ALCOHOLS, KETONES AND WATER. P.J. Martínez, E. Rus and J.M. Compaña FLASH POINT DETERMINATION OF BINARY MIXTURES OF ALCOHOLS, KETONES AND WATER Abstract P.J. Martínez, E. Rus and J.M. Compaña Departamento de Ingenería Químca. Facultad de Cencas. Unversdad de Málaga. 29071

More information

Logical Development Of Vogel s Approximation Method (LD-VAM): An Approach To Find Basic Feasible Solution Of Transportation Problem

Logical Development Of Vogel s Approximation Method (LD-VAM): An Approach To Find Basic Feasible Solution Of Transportation Problem INTERNATIONAL JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH VOLUME, ISSUE, FEBRUARY ISSN 77-866 Logcal Development Of Vogel s Approxmaton Method (LD- An Approach To Fnd Basc Feasble Soluton Of Transportaton

More information

University Physics AI No. 11 Kinetic Theory

University Physics AI No. 11 Kinetic Theory Unersty hyscs AI No. 11 Knetc heory Class Number Name I.Choose the Correct Answer 1. Whch type o deal gas wll hae the largest alue or C -C? ( D (A Monatomc (B Datomc (C olyatomc (D he alue wll be the same

More information

The Development of Web Log Mining Based on Improve-K-Means Clustering Analysis

The Development of Web Log Mining Based on Improve-K-Means Clustering Analysis The Development of Web Log Mnng Based on Improve-K-Means Clusterng Analyss TngZhong Wang * College of Informaton Technology, Luoyang Normal Unversty, Luoyang, 471022, Chna wangtngzhong2@sna.cn Abstract.

More information

Recurrence. 1 Definitions and main statements

Recurrence. 1 Definitions and main statements Recurrence 1 Defntons and man statements Let X n, n = 0, 1, 2,... be a MC wth the state space S = (1, 2,...), transton probabltes p j = P {X n+1 = j X n = }, and the transton matrx P = (p j ),j S def.

More information

SIMULATION OF THERMAL AND CHEMICAL RELAXATION IN A POST-DISCHARGE AIR CORONA REACTOR

SIMULATION OF THERMAL AND CHEMICAL RELAXATION IN A POST-DISCHARGE AIR CORONA REACTOR XVIII Internatonal Conference on Gas Dscharges and Ther Applcatons (GD 2010) Grefswald - Germany SIMULATION OF THERMAL AND CHEMICAL RELAXATION IN A POST-DISCHARGE AIR CORONA REACTOR M. Mezane, J.P. Sarrette,

More information

Risk-based Fatigue Estimate of Deep Water Risers -- Course Project for EM388F: Fracture Mechanics, Spring 2008

Risk-based Fatigue Estimate of Deep Water Risers -- Course Project for EM388F: Fracture Mechanics, Spring 2008 Rsk-based Fatgue Estmate of Deep Water Rsers -- Course Project for EM388F: Fracture Mechancs, Sprng 2008 Chen Sh Department of Cvl, Archtectural, and Envronmental Engneerng The Unversty of Texas at Austn

More information

Viscosity of Solutions of Macromolecules

Viscosity of Solutions of Macromolecules Vscosty of Solutons of Macromolecules When a lqud flows, whether through a tube or as the result of pourng from a vessel, layers of lqud slde over each other. The force f requred s drectly proportonal

More information

benefit is 2, paid if the policyholder dies within the year, and probability of death within the year is ).

benefit is 2, paid if the policyholder dies within the year, and probability of death within the year is ). REVIEW OF RISK MANAGEMENT CONCEPTS LOSS DISTRIBUTIONS AND INSURANCE Loss and nsurance: When someone s subject to the rsk of ncurrng a fnancal loss, the loss s generally modeled usng a random varable or

More information

Characterization of Assembly. Variation Analysis Methods. A Thesis. Presented to the. Department of Mechanical Engineering. Brigham Young University

Characterization of Assembly. Variation Analysis Methods. A Thesis. Presented to the. Department of Mechanical Engineering. Brigham Young University Characterzaton of Assembly Varaton Analyss Methods A Thess Presented to the Department of Mechancal Engneerng Brgham Young Unversty In Partal Fulfllment of the Requrements for the Degree Master of Scence

More information

On fourth order simultaneously zero-finding method for multiple roots of complex polynomial equations 1

On fourth order simultaneously zero-finding method for multiple roots of complex polynomial equations 1 General Mathematcs Vol. 6, No. 3 (2008), 9 3 On fourth order smultaneously zero-fndng method for multple roots of complex polynomal euatons Nazr Ahmad Mr and Khald Ayub Abstract In ths paper, we present

More information

Published: 2003-01-01. Link to publication

Published: 2003-01-01. Link to publication A Thermodesorber for Onlne studes of Combuston Aerosols - Influence of partcle dameter, resdence tme and mass concentraton Dahl, Andreas; Pagels, Joakm Publshed: 2003-01-01 Lnk to publcaton Ctaton for

More information

Traffic State Estimation in the Traffic Management Center of Berlin

Traffic State Estimation in the Traffic Management Center of Berlin Traffc State Estmaton n the Traffc Management Center of Berln Authors: Peter Vortsch, PTV AG, Stumpfstrasse, D-763 Karlsruhe, Germany phone ++49/72/965/35, emal peter.vortsch@ptv.de Peter Möhl, PTV AG,

More information

Data Broadcast on a Multi-System Heterogeneous Overlayed Wireless Network *

Data Broadcast on a Multi-System Heterogeneous Overlayed Wireless Network * JOURNAL OF INFORMATION SCIENCE AND ENGINEERING 24, 819-840 (2008) Data Broadcast on a Mult-System Heterogeneous Overlayed Wreless Network * Department of Computer Scence Natonal Chao Tung Unversty Hsnchu,

More information

Time Domain simulation of PD Propagation in XLPE Cables Considering Frequency Dependent Parameters

Time Domain simulation of PD Propagation in XLPE Cables Considering Frequency Dependent Parameters Internatonal Journal of Smart Grd and Clean Energy Tme Doman smulaton of PD Propagaton n XLPE Cables Consderng Frequency Dependent Parameters We Zhang a, Jan He b, Ln Tan b, Xuejun Lv b, Hong-Je L a *

More information

Forecasting the Demand of Emergency Supplies: Based on the CBR Theory and BP Neural Network

Forecasting the Demand of Emergency Supplies: Based on the CBR Theory and BP Neural Network 700 Proceedngs of the 8th Internatonal Conference on Innovaton & Management Forecastng the Demand of Emergency Supples: Based on the CBR Theory and BP Neural Network Fu Deqang, Lu Yun, L Changbng School

More information

Energetic and Exergetic Analysis in a Firewood Boiler

Energetic and Exergetic Analysis in a Firewood Boiler Energetc and Exergetc Analyss n a Frewood Boler Análse Energétca e Exergétca de uma Caldera a Lenha RUBENS ALVES DIAS Unesp (Guaratnguetá, Brasl) rubdas@zpmal.com.br JOSÉ ANTÔNIO PERRELLA BALESTIERI Unesp

More information

Chapter 2 Thermodynamics of Combustion

Chapter 2 Thermodynamics of Combustion Chapter 2 Thermodynamcs of Combuston 2.1 Propertes of Mxtures The thermal propertes of a pure substance are descrbed by quanttes ncludng nternal energy, u, enthalpy, h, specfc heat, c p, etc. Combuston

More information

Topical Workshop for PhD students Adsorption and Diffusion in MOFs Institut für Nichtklassische Chemie, Germany, www.uni-leipzig.

Topical Workshop for PhD students Adsorption and Diffusion in MOFs Institut für Nichtklassische Chemie, Germany, www.uni-leipzig. Gas Separaton and Purfcaton Measurement of Breakthrough Curves Topcal Workshop for PhD students Adsorpton and Dffuson n MOFs Adsorpton on Surfaces / Separaton effects Useful features Thermodynamc effect

More information

Power-of-Two Policies for Single- Warehouse Multi-Retailer Inventory Systems with Order Frequency Discounts

Power-of-Two Policies for Single- Warehouse Multi-Retailer Inventory Systems with Order Frequency Discounts Power-of-wo Polces for Sngle- Warehouse Mult-Retaler Inventory Systems wth Order Frequency Dscounts José A. Ventura Pennsylvana State Unversty (USA) Yale. Herer echnon Israel Insttute of echnology (Israel)

More information

Research Article A Time Scheduling Model of Logistics Service Supply Chain with Mass Customized Logistics Service

Research Article A Time Scheduling Model of Logistics Service Supply Chain with Mass Customized Logistics Service Hndaw Publshng Corporaton Dscrete Dynamcs n Nature and Socety Volume 01, Artcle ID 48978, 18 pages do:10.1155/01/48978 Research Artcle A Tme Schedulng Model of Logstcs Servce Supply Chan wth Mass Customzed

More information

Section 5.4 Annuities, Present Value, and Amortization

Section 5.4 Annuities, Present Value, and Amortization Secton 5.4 Annutes, Present Value, and Amortzaton Present Value In Secton 5.2, we saw that the present value of A dollars at nterest rate per perod for n perods s the amount that must be deposted today

More information

Frequency Selective IQ Phase and IQ Amplitude Imbalance Adjustments for OFDM Direct Conversion Transmitters

Frequency Selective IQ Phase and IQ Amplitude Imbalance Adjustments for OFDM Direct Conversion Transmitters Frequency Selectve IQ Phase and IQ Ampltude Imbalance Adjustments for OFDM Drect Converson ransmtters Edmund Coersmeer, Ernst Zelnsk Noka, Meesmannstrasse 103, 44807 Bochum, Germany edmund.coersmeer@noka.com,

More information

Can Auto Liability Insurance Purchases Signal Risk Attitude?

Can Auto Liability Insurance Purchases Signal Risk Attitude? Internatonal Journal of Busness and Economcs, 2011, Vol. 10, No. 2, 159-164 Can Auto Lablty Insurance Purchases Sgnal Rsk Atttude? Chu-Shu L Department of Internatonal Busness, Asa Unversty, Tawan Sheng-Chang

More information

Risk Model of Long-Term Production Scheduling in Open Pit Gold Mining

Risk Model of Long-Term Production Scheduling in Open Pit Gold Mining Rsk Model of Long-Term Producton Schedulng n Open Pt Gold Mnng R Halatchev 1 and P Lever 2 ABSTRACT Open pt gold mnng s an mportant sector of the Australan mnng ndustry. It uses large amounts of nvestments,

More information

Loop Parallelization

Loop Parallelization - - Loop Parallelzaton C-52 Complaton steps: nested loops operatng on arrays, sequentell executon of teraton space DECLARE B[..,..+] FOR I :=.. FOR J :=.. I B[I,J] := B[I-,J]+B[I-,J-] ED FOR ED FOR analyze

More information

A Study on Secure Data Storage Strategy in Cloud Computing

A Study on Secure Data Storage Strategy in Cloud Computing Journal of Convergence Informaton Technology Volume 5, Number 7, Setember 00 A Study on Secure Data Storage Strategy n Cloud Comutng Danwe Chen, Yanjun He, Frst Author College of Comuter Technology, Nanjng

More information

Testing and Debugging Resource Allocation for Fault Detection and Removal Process

Testing and Debugging Resource Allocation for Fault Detection and Removal Process Internatonal Journal of New Computer Archtectures and ther Applcatons (IJNCAA) 4(4): 93-00 The Socety of Dgtal Informaton and Wreless Communcatons, 04 (ISSN: 0-9085) Testng and Debuggng Resource Allocaton

More information

Modern Problem Solving Techniques in Engineering with POLYMATH, Excel and MATLAB. Introduction

Modern Problem Solving Techniques in Engineering with POLYMATH, Excel and MATLAB. Introduction Modern Problem Solvng Tehnques n Engneerng wth POLYMATH, Exel and MATLAB. Introduton Engneers are fundamentally problem solvers, seekng to aheve some objetve or desgn among tehnal, soal eonom, regulatory

More information

Study on Model of Risks Assessment of Standard Operation in Rural Power Network

Study on Model of Risks Assessment of Standard Operation in Rural Power Network Study on Model of Rsks Assessment of Standard Operaton n Rural Power Network Qngj L 1, Tao Yang 2 1 Qngj L, College of Informaton and Electrcal Engneerng, Shenyang Agrculture Unversty, Shenyang 110866,

More information

Support Vector Machines

Support Vector Machines Support Vector Machnes Max Wellng Department of Computer Scence Unversty of Toronto 10 Kng s College Road Toronto, M5S 3G5 Canada wellng@cs.toronto.edu Abstract Ths s a note to explan support vector machnes.

More information

An Alternative Way to Measure Private Equity Performance

An Alternative Way to Measure Private Equity Performance An Alternatve Way to Measure Prvate Equty Performance Peter Todd Parlux Investment Technology LLC Summary Internal Rate of Return (IRR) s probably the most common way to measure the performance of prvate

More information

The Application of Fractional Brownian Motion in Option Pricing

The Application of Fractional Brownian Motion in Option Pricing Vol. 0, No. (05), pp. 73-8 http://dx.do.org/0.457/jmue.05.0..6 The Applcaton of Fractonal Brownan Moton n Opton Prcng Qng-xn Zhou School of Basc Scence,arbn Unversty of Commerce,arbn zhouqngxn98@6.com

More information

A machine vision approach for detecting and inspecting circular parts

A machine vision approach for detecting and inspecting circular parts A machne vson approach for detectng and nspectng crcular parts Du-Mng Tsa Machne Vson Lab. Department of Industral Engneerng and Management Yuan-Ze Unversty, Chung-L, Tawan, R.O.C. E-mal: edmtsa@saturn.yzu.edu.tw

More information

THE METHOD OF LEAST SQUARES THE METHOD OF LEAST SQUARES

THE METHOD OF LEAST SQUARES THE METHOD OF LEAST SQUARES The goal: to measure (determne) an unknown quantty x (the value of a RV X) Realsaton: n results: y 1, y 2,..., y j,..., y n, (the measured values of Y 1, Y 2,..., Y j,..., Y n ) every result s encumbered

More information

THE DISTRIBUTION OF LOAN PORTFOLIO VALUE * Oldrich Alfons Vasicek

THE DISTRIBUTION OF LOAN PORTFOLIO VALUE * Oldrich Alfons Vasicek HE DISRIBUION OF LOAN PORFOLIO VALUE * Oldrch Alfons Vascek he amount of captal necessary to support a portfolo of debt securtes depends on the probablty dstrbuton of the portfolo loss. Consder a portfolo

More information

Heuristic Static Load-Balancing Algorithm Applied to CESM

Heuristic Static Load-Balancing Algorithm Applied to CESM Heurstc Statc Load-Balancng Algorthm Appled to CESM 1 Yur Alexeev, 1 Sher Mckelson, 1 Sven Leyffer, 1 Robert Jacob, 2 Anthony Crag 1 Argonne Natonal Laboratory, 9700 S. Cass Avenue, Argonne, IL 60439,

More information

7.5. Present Value of an Annuity. Investigate

7.5. Present Value of an Annuity. Investigate 7.5 Present Value of an Annuty Owen and Anna are approachng retrement and are puttng ther fnances n order. They have worked hard and nvested ther earnngs so that they now have a large amount of money on

More information

Calculation of Sampling Weights

Calculation of Sampling Weights Perre Foy Statstcs Canada 4 Calculaton of Samplng Weghts 4.1 OVERVIEW The basc sample desgn used n TIMSS Populatons 1 and 2 was a two-stage stratfed cluster desgn. 1 The frst stage conssted of a sample

More information

How To Calculate The Accountng Perod Of Nequalty

How To Calculate The Accountng Perod Of Nequalty Inequalty and The Accountng Perod Quentn Wodon and Shlomo Ytzha World Ban and Hebrew Unversty September Abstract Income nequalty typcally declnes wth the length of tme taen nto account for measurement.

More information

Conversion between the vector and raster data structures using Fuzzy Geographical Entities

Conversion between the vector and raster data structures using Fuzzy Geographical Entities Converson between the vector and raster data structures usng Fuzzy Geographcal Enttes Cdála Fonte Department of Mathematcs Faculty of Scences and Technology Unversty of Combra, Apartado 38, 3 454 Combra,

More information

Causal, Explanatory Forecasting. Analysis. Regression Analysis. Simple Linear Regression. Which is Independent? Forecasting

Causal, Explanatory Forecasting. Analysis. Regression Analysis. Simple Linear Regression. Which is Independent? Forecasting Causal, Explanatory Forecastng Assumes cause-and-effect relatonshp between system nputs and ts output Forecastng wth Regresson Analyss Rchard S. Barr Inputs System Cause + Effect Relatonshp The job of

More information

RESEARCH ON DUAL-SHAKER SINE VIBRATION CONTROL. Yaoqi FENG 1, Hanping QIU 1. China Academy of Space Technology (CAST) yaoqi.feng@yahoo.

RESEARCH ON DUAL-SHAKER SINE VIBRATION CONTROL. Yaoqi FENG 1, Hanping QIU 1. China Academy of Space Technology (CAST) yaoqi.feng@yahoo. ICSV4 Carns Australa 9- July, 007 RESEARCH ON DUAL-SHAKER SINE VIBRATION CONTROL Yaoq FENG, Hanpng QIU Dynamc Test Laboratory, BISEE Chna Academy of Space Technology (CAST) yaoq.feng@yahoo.com Abstract

More information

Implementation of Deutsch's Algorithm Using Mathcad

Implementation of Deutsch's Algorithm Using Mathcad Implementaton of Deutsch's Algorthm Usng Mathcad Frank Roux The followng s a Mathcad mplementaton of Davd Deutsch's quantum computer prototype as presented on pages - n "Machnes, Logc and Quantum Physcs"

More information

Actuator forces in CFD: RANS and LES modeling in OpenFOAM

Actuator forces in CFD: RANS and LES modeling in OpenFOAM Home Search Collectons Journals About Contact us My IOPscence Actuator forces n CFD: RANS and LES modelng n OpenFOAM Ths content has been downloaded from IOPscence. Please scroll down to see the full text.

More information

The Effects of Geodetic Configuration of the Network in Deformation Analysis

The Effects of Geodetic Configuration of the Network in Deformation Analysis The Effects of Geodetc Confguraton of the Network n Deformaton Analyss M. Onur KAPLAN, Tevfk AYAN and Serdar EROL Turkey Key words: Network confguraton, deformaton analyss, optmzaton, confdence ellpses

More information

Binomial Link Functions. Lori Murray, Phil Munz

Binomial Link Functions. Lori Murray, Phil Munz Bnomal Lnk Functons Lor Murray, Phl Munz Bnomal Lnk Functons Logt Lnk functon: ( p) p ln 1 p Probt Lnk functon: ( p) 1 ( p) Complentary Log Log functon: ( p) ln( ln(1 p)) Motvatng Example A researcher

More information

A Novel Methodology of Working Capital Management for Large. Public Constructions by Using Fuzzy S-curve Regression

A Novel Methodology of Working Capital Management for Large. Public Constructions by Using Fuzzy S-curve Regression Novel Methodology of Workng Captal Management for Large Publc Constructons by Usng Fuzzy S-curve Regresson Cheng-Wu Chen, Morrs H. L. Wang and Tng-Ya Hseh Department of Cvl Engneerng, Natonal Central Unversty,

More information

Least Squares Fitting of Data

Least Squares Fitting of Data Least Squares Fttng of Data Davd Eberly Geoetrc Tools, LLC http://www.geoetrctools.co/ Copyrght c 1998-2016. All Rghts Reserved. Created: July 15, 1999 Last Modfed: January 5, 2015 Contents 1 Lnear Fttng

More information

SUPPLIER FINANCING AND STOCK MANAGEMENT. A JOINT VIEW.

SUPPLIER FINANCING AND STOCK MANAGEMENT. A JOINT VIEW. SUPPLIER FINANCING AND STOCK MANAGEMENT. A JOINT VIEW. Lucía Isabel García Cebrán Departamento de Economía y Dreccón de Empresas Unversdad de Zaragoza Gran Vía, 2 50.005 Zaragoza (Span) Phone: 976-76-10-00

More information

AN APPOINTMENT ORDER OUTPATIENT SCHEDULING SYSTEM THAT IMPROVES OUTPATIENT EXPERIENCE

AN APPOINTMENT ORDER OUTPATIENT SCHEDULING SYSTEM THAT IMPROVES OUTPATIENT EXPERIENCE AN APPOINTMENT ORDER OUTPATIENT SCHEDULING SYSTEM THAT IMPROVES OUTPATIENT EXPERIENCE Yu-L Huang Industral Engneerng Department New Mexco State Unversty Las Cruces, New Mexco 88003, U.S.A. Abstract Patent

More information

NMT EE 589 & UNM ME 482/582 ROBOT ENGINEERING. Dr. Stephen Bruder NMT EE 589 & UNM ME 482/582

NMT EE 589 & UNM ME 482/582 ROBOT ENGINEERING. Dr. Stephen Bruder NMT EE 589 & UNM ME 482/582 NMT EE 589 & UNM ME 482/582 ROBOT ENGINEERING Dr. Stephen Bruder NMT EE 589 & UNM ME 482/582 7. Root Dynamcs 7.2 Intro to Root Dynamcs We now look at the forces requred to cause moton of the root.e. dynamcs!!

More information

Mathematical modeling of water quality in river systems. Case study: Jajrood river in Tehran - Iran

Mathematical modeling of water quality in river systems. Case study: Jajrood river in Tehran - Iran European Water 7/8: 3-, 009. 009 E.W. Publcatons Mathematcal modelng of water qualty n rver systems. Case study: Jajrood rver n Tehran - Iran S.A. Mrbagher, M. Abaspour and K.H. Zaman 3 Department of Cvl

More information

Modelling of Hot Water Flooding

Modelling of Hot Water Flooding Unversty of Readng Modellng of Hot Water Floodng as an Enhanced Ol Recovery Method by Zenab Zargar August 013 Department of Mathematcs Submtted to the Department of Mathematcs, Unversty of Readng, n Partal

More information

Simulating injection moulding of microfeatured components

Simulating injection moulding of microfeatured components Smulatng njecton mouldng of mcrofeatured components T. Tofteberg 1 * and E. Andreassen 1 1 SINTEF Materals and Chemstry, Oslo, Norway terje.tofteberg@sntef.no; erk.andreassen@sntef.no Numercal smulaton

More information

Numerical Analysis on Rapid Decompression in Conventional Dry Gases using One- Dimensional Mathematical Modeling

Numerical Analysis on Rapid Decompression in Conventional Dry Gases using One- Dimensional Mathematical Modeling World Academy of Scence, Engneerng and Technology Internatonal Journal of Mathematcal, Computatonal, Physcal, Electrcal and Computer Engneerng Vol:6, o:3, 01 umercal Analyss on Rapd Decompresson n Conventonal

More information

Chapter 11 CLOUD DYNAMICS AND CHEMISTRY

Chapter 11 CLOUD DYNAMICS AND CHEMISTRY Chapter 11 CLOUD DYNAMICS AND CHEMISTRY Shawn J. Roselle * and Francs S. Bnkowsk ** Atmospherc Modelng Dvson Natonal Exposure Research Laboratory U.S. Envronmental Protecton Agency Research Trangle Park,

More information

Linear Circuits Analysis. Superposition, Thevenin /Norton Equivalent circuits

Linear Circuits Analysis. Superposition, Thevenin /Norton Equivalent circuits Lnear Crcuts Analyss. Superposton, Theenn /Norton Equalent crcuts So far we hae explored tmendependent (resste) elements that are also lnear. A tmendependent elements s one for whch we can plot an / cure.

More information

The circuit shown on Figure 1 is called the common emitter amplifier circuit. The important subsystems of this circuit are:

The circuit shown on Figure 1 is called the common emitter amplifier circuit. The important subsystems of this circuit are: polar Juncton Transstor rcuts Voltage and Power Amplfer rcuts ommon mtter Amplfer The crcut shown on Fgure 1 s called the common emtter amplfer crcut. The mportant subsystems of ths crcut are: 1. The basng

More information

Section C2: BJT Structure and Operational Modes

Section C2: BJT Structure and Operational Modes Secton 2: JT Structure and Operatonal Modes Recall that the semconductor dode s smply a pn juncton. Dependng on how the juncton s based, current may easly flow between the dode termnals (forward bas, v

More information

Module 2 LOSSLESS IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur

Module 2 LOSSLESS IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur Module LOSSLESS IMAGE COMPRESSION SYSTEMS Lesson 3 Lossless Compresson: Huffman Codng Instructonal Objectves At the end of ths lesson, the students should be able to:. Defne and measure source entropy..

More information

The exergy approach in a legal framework

The exergy approach in a legal framework The exergy approach n a legal framewor Prof Danel Favrat Insttut des Scences de l'énerge, PFL Prof Danel Favrat 1 ÉCOL POLYTCHNIU FÉDÉRAL D LAUSANN Preamble Introducton of an energy concept ncludng a exergetc

More information

NPAR TESTS. One-Sample Chi-Square Test. Cell Specification. Observed Frequencies 1O i 6. Expected Frequencies 1EXP i 6

NPAR TESTS. One-Sample Chi-Square Test. Cell Specification. Observed Frequencies 1O i 6. Expected Frequencies 1EXP i 6 PAR TESTS If a WEIGHT varable s specfed, t s used to replcate a case as many tmes as ndcated by the weght value rounded to the nearest nteger. If the workspace requrements are exceeded and samplng has

More information

Inter-Ing 2007. INTERDISCIPLINARITY IN ENGINEERING SCIENTIFIC INTERNATIONAL CONFERENCE, TG. MUREŞ ROMÂNIA, 15-16 November 2007.

Inter-Ing 2007. INTERDISCIPLINARITY IN ENGINEERING SCIENTIFIC INTERNATIONAL CONFERENCE, TG. MUREŞ ROMÂNIA, 15-16 November 2007. Inter-Ing 2007 INTERDISCIPLINARITY IN ENGINEERING SCIENTIFIC INTERNATIONAL CONFERENCE, TG. MUREŞ ROMÂNIA, 15-16 November 2007. UNCERTAINTY REGION SIMULATION FOR A SERIAL ROBOT STRUCTURE MARIUS SEBASTIAN

More information

BUSINESS PROCESS PERFORMANCE MANAGEMENT USING BAYESIAN BELIEF NETWORK. 0688, dskim@ssu.ac.kr

BUSINESS PROCESS PERFORMANCE MANAGEMENT USING BAYESIAN BELIEF NETWORK. 0688, dskim@ssu.ac.kr Proceedngs of the 41st Internatonal Conference on Computers & Industral Engneerng BUSINESS PROCESS PERFORMANCE MANAGEMENT USING BAYESIAN BELIEF NETWORK Yeong-bn Mn 1, Yongwoo Shn 2, Km Jeehong 1, Dongsoo

More information

Imperial College London

Imperial College London F. Fang 1, C.C. Pan 1, I.M. Navon 2, M.D. Pggott 1, G.J. Gorman 1, P.A. Allson 1 and A.J.H. Goddard 1 1 Appled Modellng and Computaton Group Department of Earth Scence and Engneerng Imperal College London,

More information

IMPACT ANALYSIS OF A CELLULAR PHONE

IMPACT ANALYSIS OF A CELLULAR PHONE 4 th ASA & μeta Internatonal Conference IMPACT AALYSIS OF A CELLULAR PHOE We Lu, 2 Hongy L Bejng FEAonlne Engneerng Co.,Ltd. Bejng, Chna ABSTRACT Drop test smulaton plays an mportant role n nvestgatng

More information

A Simple Approach to Clustering in Excel

A Simple Approach to Clustering in Excel A Smple Approach to Clusterng n Excel Aravnd H Center for Computatonal Engneerng and Networng Amrta Vshwa Vdyapeetham, Combatore, Inda C Rajgopal Center for Computatonal Engneerng and Networng Amrta Vshwa

More information

A DYNAMIC CRASHING METHOD FOR PROJECT MANAGEMENT USING SIMULATION-BASED OPTIMIZATION. Michael E. Kuhl Radhamés A. Tolentino-Peña

A DYNAMIC CRASHING METHOD FOR PROJECT MANAGEMENT USING SIMULATION-BASED OPTIMIZATION. Michael E. Kuhl Radhamés A. Tolentino-Peña Proceedngs of the 2008 Wnter Smulaton Conference S. J. Mason, R. R. Hll, L. Mönch, O. Rose, T. Jefferson, J. W. Fowler eds. A DYNAMIC CRASHING METHOD FOR PROJECT MANAGEMENT USING SIMULATION-BASED OPTIMIZATION

More information

SPEE Recommended Evaluation Practice #6 Definition of Decline Curve Parameters Background:

SPEE Recommended Evaluation Practice #6 Definition of Decline Curve Parameters Background: SPEE Recommended Evaluaton Practce #6 efnton of eclne Curve Parameters Background: The producton hstores of ol and gas wells can be analyzed to estmate reserves and future ol and gas producton rates and

More information

An interactive system for structure-based ASCII art creation

An interactive system for structure-based ASCII art creation An nteractve system for structure-based ASCII art creaton Katsunor Myake Henry Johan Tomoyuk Nshta The Unversty of Tokyo Nanyang Technologcal Unversty Abstract Non-Photorealstc Renderng (NPR), whose am

More information

Software project management with GAs

Software project management with GAs Informaton Scences 177 (27) 238 241 www.elsever.com/locate/ns Software project management wth GAs Enrque Alba *, J. Francsco Chcano Unversty of Málaga, Grupo GISUM, Departamento de Lenguajes y Cencas de

More information

FREQUENCY OF OCCURRENCE OF CERTAIN CHEMICAL CLASSES OF GSR FROM VARIOUS AMMUNITION TYPES

FREQUENCY OF OCCURRENCE OF CERTAIN CHEMICAL CLASSES OF GSR FROM VARIOUS AMMUNITION TYPES FREQUENCY OF OCCURRENCE OF CERTAIN CHEMICAL CLASSES OF GSR FROM VARIOUS AMMUNITION TYPES Zuzanna BRO EK-MUCHA, Grzegorz ZADORA, 2 Insttute of Forensc Research, Cracow, Poland 2 Faculty of Chemstry, Jagellonan

More information

Multiplication Algorithms for Radix-2 RN-Codings and Two s Complement Numbers

Multiplication Algorithms for Radix-2 RN-Codings and Two s Complement Numbers Multplcaton Algorthms for Radx- RN-Codngs and Two s Complement Numbers Jean-Luc Beuchat Projet Arénare, LIP, ENS Lyon 46, Allée d Itale F 69364 Lyon Cedex 07 jean-luc.beuchat@ens-lyon.fr Jean-Mchel Muller

More information

Optical Measurement of the Speed of Sound in Air Over the Temperature Range 300-650 K

Optical Measurement of the Speed of Sound in Air Over the Temperature Range 300-650 K NASA/CR-2000-210114 ICASE Report No. 2000-20 Optcal Measurement of the Speed of Sound n Ar Over the Temperature Range 300-650 K Roger C. Hart ICASE, Hampton, Vrgna R. Jeffrey Balla and G.C. Herrng NASA

More information

An Interest-Oriented Network Evolution Mechanism for Online Communities

An Interest-Oriented Network Evolution Mechanism for Online Communities An Interest-Orented Network Evoluton Mechansm for Onlne Communtes Cahong Sun and Xaopng Yang School of Informaton, Renmn Unversty of Chna, Bejng 100872, P.R. Chna {chsun,yang}@ruc.edu.cn Abstract. Onlne

More information

2008/8. An integrated model for warehouse and inventory planning. Géraldine Strack and Yves Pochet

2008/8. An integrated model for warehouse and inventory planning. Géraldine Strack and Yves Pochet 2008/8 An ntegrated model for warehouse and nventory plannng Géraldne Strack and Yves Pochet CORE Voe du Roman Pays 34 B-1348 Louvan-la-Neuve, Belgum. Tel (32 10) 47 43 04 Fax (32 10) 47 43 01 E-mal: corestat-lbrary@uclouvan.be

More information

Research Article Enhanced Two-Step Method via Relaxed Order of α-satisfactory Degrees for Fuzzy Multiobjective Optimization

Research Article Enhanced Two-Step Method via Relaxed Order of α-satisfactory Degrees for Fuzzy Multiobjective Optimization Hndaw Publshng Corporaton Mathematcal Problems n Engneerng Artcle ID 867836 pages http://dxdoorg/055/204/867836 Research Artcle Enhanced Two-Step Method va Relaxed Order of α-satsfactory Degrees for Fuzzy

More information

Scatter search approach for solving a home care nurses routing and scheduling problem

Scatter search approach for solving a home care nurses routing and scheduling problem Scatter search approach for solvng a home care nurses routng and schedulng problem Bouazza Elbenan 1, Jacques A. Ferland 2 and Vvane Gascon 3* 1 Département de mathématque et nformatque, Faculté des scences,

More information

ESTIMATION OF RELAXATION AND THERMALIZATION TIMES IN MICROSCALE HEAT TRANSFER MODEL

ESTIMATION OF RELAXATION AND THERMALIZATION TIMES IN MICROSCALE HEAT TRANSFER MODEL JOURNAL OF THEORETICAL AND APPLIED MECHANICS 51, 4, pp. 837-845, Warsaw 2013 ESTIMATION OF RELAXATION AND THERMALIZATION TIMES IN MICROSCALE HEAT TRANSFER MODEL Bohdan Mochnack Częstochowa Unversty of

More information

Numerical Simulation of Explosive Combustion Following Ignition of a Fuel Vapor Cloud

Numerical Simulation of Explosive Combustion Following Ignition of a Fuel Vapor Cloud Numercal Smulaton of Explosve Combuston Followng Ignton of a Fuel Vapor Cloud ZHIXIN HU and ARNAUD TROUVE Department of Fre Protecton Engneerng Unversty of Maryland College Park, Maryland 074, USA ABSTRACT

More information

Method for Production Planning and Inventory Control in Oil

Method for Production Planning and Inventory Control in Oil Memors of the Faculty of Engneerng, Okayama Unversty, Vol.41, pp.20-30, January, 2007 Method for Producton Plannng and Inventory Control n Ol Refnery TakujImamura,MasamKonshandJunIma Dvson of Electronc

More information