Mathematical modeling for finding the thermal conductivity of solid materials
|
|
- Kristian Johns
- 5 years ago
- Views:
Transcription
1 Mathematcal modelng for fndng the thermal conductvty of sold materals Farhan Babu 1, Akhlesh Lodwal 1 PG Scholar, Assstant Professor Mechancal Engneerng Department Dev AhlyaVshwavdyalaya, Indore, Inda Abstract - Thermal conductvty refers to the ablty of materals to conduct heat. It plays crucal roles n the desgn of engneerng systems where temperature and thermal stress are major concerns. Typcal methods of thermal conductvty measurement can be categorzed as ether steady-state or non-steady state. The artcle deals wth transent heat conducton through the sold sphercal shape when t s mmersed nto the pool of hot water. The desgn of expermental set-up s purely based on natural convecton. So, varous dmensonless numbers Pr, Gr, Ra, Nu have been studed to fnd the natural heat transfer coeffcent (h). Durng transent heat conducton process through the materal some part of heat stores n the materal and temperatures-tme data s recorded by usng the data acquston system. Classcal lumped model s vald for lower Bot number. So, an effort has been done to mplement hgher Bot number. Based on analyss, modelng, temperature varaton wth tme and geometry of materal, soluton s obtaned to fnd the thermal conductvty of materals. Keywords: Transent heat conducton, Dmensonless numbers, Pr, Gr, Ra and Nu, Natural heat transfer coeffcent (h), Bot number (B), Fourer number (Fo) and thermal conductvty m) I. INTRODUCTION Thermal conductvty plays crucal roles n the desgn of engneerng systems where temperature and thermal stress are of concerns. It s an ntensve physcal property of a materal that relates the heat flow through the materal per unt area to temperature gradent across the materal. The thermal conductvty of a materal s bascally a measure of ts ablty to conduct heat. In a wde varety of applcatons rangng from buldng nsulaton to electroncs, t s mportant to determne the thermal conductvty of materals.extensve efforts have been made snce 1950s for the characterzaton of thermal conductvty. Typcal methods of thermal conductvty measurement can be categorzed as ether steady-state or non-steady state. In steady-state technques, equlbrum heat flux and temperature gradent are measured. Transent technques usually measure tme-dependent energy dsspaton process of a sample. Major drawbacks of ths technque nclude: (1) the testng sample should be relatvely large, n centmeter scale or even larger. () The test usually suffers from a long watng tme, up to a few hours, to reach steady state.the bggest challenge n the steady state technque s to accurately determne the heat flow through sample. However, f one has a standard materal whose thermal conductvty s known, the comparatve cut bar technque can be appled and the drect measurement of heat flow s unnecessary. The method s asked to nvestgate nvolves the transent heatng of sphercal shaped samples by the natural convecton means. The temperature of water s ncreased by supplyng heat to the water bath. The hot water rses up and cold water goes down as densty decreases wth ncrease n temperature for fluds and cycle begns to crculate the water. After mantanng the partcular temperature of the flud, a sold sphercal shape s ntally at ambent temperature, mmersed nto the hot water, untl the whole of the shape temperature rses up wth tme contnuously and t try to reaches the equlbrum/ steady state. Thus followng are the objectves of ths project work. To fnd the dmensonless numbers lke Prandtl number (Pr),) Raylegh number (Ra) and Grashof number (Gr) and natural heat transfer coeffcent (hc) by usng expermental data and correlaton of Nusselt number (Nu) for the sphercal shape. To fnd the Fourer number (Fo) and Bot number (B) by usng expermental data and Hesler chart for sphercal shape. To fnd the thermal conductvty and valdate the results of two dfferent materals (Km) by usng the analytcal technque and mathematcal modelng. To fnd the heat transfer due to conducton, convecton, radaton and total amount of heat utlze durng the varous processes. To plot thermal conductvty v/s temperature of two dfferent materals at varous temperatures. IJRTI Internatonal Journal for Research Trends and Innovaton ( 5
2 II. LITERATURE REVIEW The thermal conductvty of materals wdely used for ther applcatons n varous areas of Refrgeraton and Ar condtonng, Automobles, Industres and Engneerng etc.. In ths chapter, lteratures on thermal conductvty of sold materals and processes to fnd the thermal conductvty are dscussed n detals. The earlest work on Bot number were found. Su, G., Tan, Z., & Su, J. (007), An mproved lumped models for transent heat conducton n a slab wth temperature dependent thermal conductvty: where, they studed both coolng and heatng processes and presented solutons as a functon of the Bot number and a dmensonless parameter representng the heatng or coolng process. Prasad, D. (013). Analyss of transent heat conducton n dfferent geometres by polynomal approxmaton method: where, he shows heat transfer generally takes place by three modes such as conducton, convecton and radaton. Prakash, A., Mahmood, S., (013). Modfed lumped model for transent heat conducton sphercal shape: where, unsteady or transent heat conducton state mples a change wth tme, usually only of the temperature. In general, the flow of heat takes place n dfferent spatal coordnates. In some cases the analyss s done by consderng the varaton of temperature n one-dmenson. At a sphercal geometry to have one-dmensonal analyss a unform condton s appled to each concentrc surface whch bounds the regon. Wll, J. B., Kruyt, N. P., &Venner, C. H. (017). An expermental study of force convectve heat transfer from smooth, sold spheres: where, they use the rate of heat transfer due to natural convecton s estmated for the sphercal shape, based on a correlaton for the Nusselt number as a functon of the Raylegh number (Ra) and the Prandtl number (Pr) Where: 3 Gr {g (T -T )D }/ S 11 If, Ra 10 ; Pr 0.7, For the sphercal shape, Nusselt number s gven below, xRa Nusselt no. (Nu) = [1+{ } ] Pr and Ra = Gr Pr g s the gravtatonal acceleraton, β s the thermal expanson coeffcent at constant pressure of the water and ν s the knematc vscosty of the water and Pr s the prandtl number of water at gven temperature. III. METHODOLOGY When, the temperature of water ncreases, the hot water rses up and cold water goes down as densty decreases wth ncrease n temperature for fluds and cycle begns to crculate the water. A sold shape s ntally at ambent temperature, mmersed nto the hot water untl the whole of the shape temperature rses up wth tme contnuously and t try to reaches the equlbrum/ steady state. There s a convectve heat transfer at the surface of the shape.there s conductve heat transfer nsde of the shape due to the conducton of heat. In case of natural convecton, Nusselt number (Nu) s a functon of Grashof number (Gr) and Prandtl number (Pr). Natural convecton Nusselt number (Nu) = functon [Gr, Pr] By usng the densty, knematc, dynamc vscosty and thermal conductvty of water at partcular temperature, Prandtl number (Pr) can be found. It s a dmensonless number, named after the German physcst Ludwg Prandtl, s defned as the rato of momentum dffusvty to thermal dffusvty. Ths moton s caused by the buoyant force. The major force that ressts the moton s the vscous force. The Grashof number (Gr) s a way to quantfy the opposng forces. The Grashof number (Gr) s defned as: vscous dffuson rate c Pr andtl number (Pr) = = thermal dffuson rate k k c where : p momentum dffusvty nematc vscosty) k = thermal conductvty of water at temperature c = specfc heat of water p p IJRTI Internatonal Journal for Research Trends and Innovaton ( 6
3 Buoyancy force Grashof number = Vscous force 3 D gt Grashof number (Gr) = D = Dmeter of the shape = Densty of water g = Gravtatonal acceleraton T Temperature at the surface s T = Intal temperature = Coeffcnt of thermal expenson = Dynamc vscosty The Raylegh number (Ra) for a flud s a dmensonless number assocated wth buoyancy-drven flow, also known as free convecton or natural convecton. Ra = Gr Pr 11 If, Ra 10 ; Pr 0.7, For the sphercal shape, Nusselt number s gven, xRa Nusselt number (Nu) = [1+{ } ] Pr As, we know Nusselt number (Nu) s the rato of convectve heat transfer to conductve heat transfer across the surface boundary. Nusselt w Convectve heat transfer c c number (Nu) = Conductve heat transfer = k w kw k Natural heat transfer coeffcent (h c) = Nu w D Where : h D h D k s thermal conductvty of water at partcular temperature D s the dameter of the shape t The rate at whch heat s conducted across thelength of the body Fourer number (Fo) = = D The rate at whch heat s stored n the body s thermal dffusvty of materal D s dameter of the body = k c p k s conductvty of the body s densty of the body Intal temperature of the shape T, Temperature of 0 the hot water (T ) and Temperature of the shape at step change T Dmensonless temperature or T0 T Temperature profle 0 = T T Hesler chart for the sphercal shape IJRTI Internatonal Journal for Research Trends and Innovaton ( 7
4 Fgure 3.1: Hesler chart for the sphercal shape The heat flow experences two resstances, the frst wthn the sold metal (whch s nfluenced by both the sze and composton of the sphere), and the second at the surface of the sphere. The conductve component s measured under the same condtons as the heat convecton. Fgure 3.: Schematc dagram of constant temperature water bath wth sold sphercal shape Conductve heat transfer resstance wthn the body Bot number (B ) = Convectve heat transfer resstance across the surface of the body = Bot number (B ) = Where: c c Lc km hl c c 1 km h c hl c c km h s heat transfer coeffcent So, Thermal conductvty of the materal k h L s the characterstc length of the shape k s the thermal conductvty of the shape of the materal m B m c Lc IV. EXPERIMENTAL SET-UP DEVELOPMENT The objectves of the present study mentoned n the prevous chapter, are manly attaned by specfcally desgned expermental set-up to perform temperature measurements durng transent heat conducton. The current chapter provdes the detals of expermental set-up, technque used for the temperature measurements n the present study. Ths chapter s organzed as per the followng subsectons: () Expermental set-up () Technque for the temperature measurements. Expermental set up used for ths work s shown fgure (Fgure 3.1). The expermental set up comprses of a constant temperature water bath wth nbult heater, a temperature measurng unt, data loggng software and a Computer. IJRTI Internatonal Journal for Research Trends and Innovaton ( 8
5 Fgure 4.1: Expermental set-up Sold sphercal shapes Two dentcal sold sphercal shapes of dfferent materals (Stanless steel and Brass) have been used n ths experment for ther analyss. Each shape has been ftted wth a thermocouple (electrcal temperature sensor) that s located at the precse centre of the sphere. Fgure 4.: Sphercal shape of Steel and Brass materals EXPERIMENTAL PROCEDURE After takng measurement of ntal teperature of the shape, the sold shape s mmersed n a water bath and measure the temperatures durng transent heat conducton and t wll also be rocorded by usng data acquston system. Before, mmersng the sold shape nto the water bath, ts temperature has to be establshed at desred temperature. After, the bath emperature s stablzed. The sold shape s mmersed nto the water bath. Frst, look the sold to fsh-eye on the frame. Insure, about data recordng. Then, lower the sold nto the water bath untl completely submerged. Don t drop the sold n the bath, but try to get t mmersed quckely. Tme s noted down at the nstant, the sold s mmersed. When, the sold has reached the temperature (step change) lower than the bath temperature and t tres to acheve steady state. Remove the sold and hang t back over the plastc tub so that t can be cool to room temperature. Make sure that the data are saved on the hard dsk for the backup. Repeat the same procedre to the other materal. V. EXPERIMENTAL DATA IMPLEMENTATION AND ANALYSIS Table 5.1 Propertes of water at 60, 70 and 80 C IJRTI Internatonal Journal for Research Trends and Innovaton ( 9
6 Table 5. Expermental Data Steel materal Analyss : STEEL MATERIAL (Dameter 45 mm) " Case 1" Materal Steel Shape - Sphercal Intal shape temperature (T ) = 7C Water bath temperature (T )= 6C Measured temperature (T )= 60C at tme (t) = 180 seconds Pr opertes of water at 60C Densty ( ) = kg/m Knematc vs cos ty ( ) = 0.478x10 m / s Dynamc vscosty ( ) = 471x10 f -6 m / Thermal conductvty ) = W/mC Prandtl number (Pr) = 3.0 Volumetrc expenson of the materal 1 1 = T ( T T ) / Usng correlaton for free convecton 3 D gt Grashof number (Gr) = Ra = Gr.Pr 11 If, Ra 10 ; Pr 0.7 By calculaton; Gr =.97x10 Pr 3.0 So, Ra = 8.97x xRa Nusselt no. (Nu) = [1+{ } ] Pr and Nusselt no. (Nu) = 135 s Natural heat transfer coeffcent (h) = Nu k w = 135 * W...(1) -3 D 45x10 m C Bath Temp.6 C Steel T = 7C IJRTI Internatonal Journal for Research Trends and Innovaton ( 10
7 T T 0 Dmensonless temperature ( 0) = T T Fourer number (F o)= t 3.3 D From Hesler chart Bot number (B )= 0.7 hxl Bot number (B) = k m c Thermal conductvty of materal L c m) = B h From equaton...(1) x10 m) = h 0.077xh...() 0.7 W m) = m C Fgure 5.1: Transent heat conducton behavor of steel materal at 60 C Table 5.3 Propertes of water at 60, 70 and 80 C IJRTI Internatonal Journal for Research Trends and Innovaton ( 11
8 Table 5.4 Expermental data Brass materal Analyss : BRASS (Dameter 45 mm) Case 1 Materal Brass Shape - Sphercal Intal shape temperature (T ) = 7C Water bath temperature (T ) = 6C Measured temperature ( T ) = 60C 0 at tme (t) = 130 seconds Bath Temp. 6C Brass T = 7C Pr opertes of water at 60C Densty ( ) = kg/m Knematc vs Dynamc f 3-6 cos ty ( ) = 0.478x10 m / s -6 vscosty ( ) = 471x10 m / Thermal conductvty ) = W/mC Prandtl number (Pr) = 3.0 Volumetrc expenson of the materal 1 1 = T ( T T ) / s Usng correlaton for free convecton 3 D gt Grashof number (Gr) = Ra = Gr.Pr If, Ra ; Pr 0.7 By calculaton: Gr =.97x10 Pr 3.0 So, Ra = 8.97x xRa Nusselt no. (Nu) = [1+{ } ] Pr and Nusselt no. (Nu) = 135 Nu 135 W Heat transfer coeffcent (h) = k w = * (1) -3 D 45x10 m C IJRTI Internatonal Journal for Research Trends and Innovaton ( 1
9 0 Dmensonless temperature ( 0) = T T Fourer number (F )= o From Hesler chart Bot number (B ) = hxl Bot number (B) = k m c T T t 4.0, tme t = 0 sec. D Lc Thermal conductvty of materal m) = h B x10 m) = h 0.04 xh... () W m) = m C Fgure 5.: Transent heat conducton behavor of steel materal at 60 C VI. EXPERIMENAL RESULTS AND DISCUSSION Table 6.1 Heat transfer due to conducton, convecton and radaton of Steel and Brass materal Steel materal Brass materal IJRTI Internatonal Journal for Research Trends and Innovaton ( 13
10 Table 6. Natural heat transfer coeffcent, thermal conductvty m) of Steel and Brass materals at 60, 70 and 80 C Plots transent heat conducton behavor of Steel and Brass materals at 60 C, 70 C and 80 C Case-1( at 60 C) Case-1( at 70 C) Case-1( at 80 C) Fgure 6.1: Transent heat conducton behavor of Steel and Brass materals at 60 C, 70 C and 80 C Plots heat transfer v/s temperature for Steel and Brass materal Steel materal Brass materal Steel and Brass materal Fgure 6.: Heat transfer due to conducton, convecton and radaton n Steel and Brass materals at 60 C, 70 C and 80 C IJRTI Internatonal Journal for Research Trends and Innovaton ( 14
11 Plots thermal conductvty v/s temperature for Steel and Brass materals Steel materal Brass materal Steel and Brass materal VII. RESULTS &CONCLUSION Fgure 6.3: Thermal conductvty of Steel and Brass materals at 60 C, 70 C and 80 C A sphercal shape s used whch thermal conductvty s to be measured. A K type of thermocouple s used due to envronmental consderaton, low prce, easly avalablty and accurate measurement of temperature. The shape s mmersed nto the constant temperature water bath, mantaned at partcular temperature. Bead of the thermocouple s located at the centre of the sphere for ts temperature measurement durng transent heat conducton. Data s recorded by usng data acquston system. Subsequently, few dmensonless numbers lke Prandtl (Pr), Grashof (Gr), Raylegh (Ra), Nusselt (Nu) have been found by usng the propertes of water at partcular temperature. Based on these dmensonless numbers, natural heat transfer coeffcent (h) has W been found n the range of 1700 to 64. Due to transent heat conducton through the shape, some part of heat s also m C absorbed. So, ths has been found that Fourer number (Fo) ncreases wth the bath temperature. It s n the range of 3.30 to 4.00 for steel materal and 7.10 to 8.49 for brass materal. The values of Bot numbers (B) are as 0.7 to 0.35 for steel and to for brass materal. Thermal conductvty of both Steel and Brass materals have almost been found constant durng temperature range 55 C to 90 C W and ther values are 5 to 54 and 110 to 113 for Steel and Brass respectvely. REFERENCES m C [1] G. Su, Z. Tan, & J. Su, Improved lumped models for transent heat conducton n a slab wth temperature dependent thermal conductvty, Appled Mathematcal Modelng 33 (009) [] A. Prakash, S. Mohammad, Modfed lumped model for transent heat conducton n sphercal shape, Amercan Internatonal Journal of Research n Scence, Technology, Engneerng and Mathematcs [3] D. Prasad, Analyss of transent heat conducton n dfferent geometres by polynomal approxmaton method, Internatonal Journal of Mechancal Engneerng and Robotcs Research [4] N. Haque, A. Paul, Study of mproved lumped parameter n transent heat conducton, Internatonal Journal of Engneerng Scence and Management ISSN: [5] A. Wllam, J. Edward, Equatons of propertes as a functon of temperature for seven fluds, Computer Methods n Appled Mechancs and Engneerng 61 (1987) North-Holland. [6] B. Xu, P. L, C. Chan, Extendng the valdty of lumped capactance method for large Bot number n thermal storage applcaton, Tucson, AZ 8571, USA. [7] Keshavraz P. and Taher M. (007), An Improved lumped analyss for transent heat conducton by usng the polynomal approxmaton method, Heat and MassTransfer, Vol. 43, pp IJRTI Internatonal Journal for Research Trends and Innovaton ( 15
Thermal-Fluids I. Chapter 18 Transient heat conduction. Dr. Primal Fernando Ph: (850)
hermal-fluds I Chapter 18 ransent heat conducton Dr. Prmal Fernando prmal@eng.fsu.edu Ph: (850) 410-6323 1 ransent heat conducton In general, he temperature of a body vares wth tme as well as poston. In
More informationPrinciples of Food and Bioprocess Engineering (FS 231) Solutions to Example Problems on Heat Transfer
Prncples of Food and Boprocess Engneerng (FS 31) Solutons to Example Problems on Heat Transfer 1. We start wth Fourer s law of heat conducton: Q = k A ( T/ x) Rearrangng, we get: Q/A = k ( T/ x) Here,
More informationLab 2e Thermal System Response and Effective Heat Transfer Coefficient
58:080 Expermental Engneerng 1 OBJECTIVE Lab 2e Thermal System Response and Effectve Heat Transfer Coeffcent Warnng: though the experment has educatonal objectves (to learn about bolng heat transfer, etc.),
More informationThe Analysis of Convection Experiment
Internatonal Conference on Appled Scence and Engneerng Innovaton (ASEI 5) The Analyss of Convecton Experment Zlong Zhang School of North Chna Electrc Power Unversty, Baodng 7, Chna 469567@qq.com Keywords:
More informationNumerical Transient Heat Conduction Experiment
Numercal ransent Heat Conducton Experment OBJECIVE 1. o demonstrate the basc prncples of conducton heat transfer.. o show how the thermal conductvty of a sold can be measured. 3. o demonstrate the use
More information(Online First)A Lattice Boltzmann Scheme for Diffusion Equation in Spherical Coordinate
Internatonal Journal of Mathematcs and Systems Scence (018) Volume 1 do:10.494/jmss.v1.815 (Onlne Frst)A Lattce Boltzmann Scheme for Dffuson Equaton n Sphercal Coordnate Debabrata Datta 1 *, T K Pal 1
More informationmodeling of equilibrium and dynamic multi-component adsorption in a two-layered fixed bed for purification of hydrogen from methane reforming products
modelng of equlbrum and dynamc mult-component adsorpton n a two-layered fxed bed for purfcaton of hydrogen from methane reformng products Mohammad A. Ebrahm, Mahmood R. G. Arsalan, Shohreh Fatem * Laboratory
More informationTransfer Functions. Convenient representation of a linear, dynamic model. A transfer function (TF) relates one input and one output: ( ) system
Transfer Functons Convenent representaton of a lnear, dynamc model. A transfer functon (TF) relates one nput and one output: x t X s y t system Y s The followng termnology s used: x y nput output forcng
More information2010 Black Engineering Building, Department of Mechanical Engineering. Iowa State University, Ames, IA, 50011
Interface Energy Couplng between -tungsten Nanoflm and Few-layered Graphene Meng Han a, Pengyu Yuan a, Jng Lu a, Shuyao S b, Xaolong Zhao b, Yanan Yue c, Xnwe Wang a,*, Xangheng Xao b,* a 2010 Black Engneerng
More informationEXAMPLES of THEORETICAL PROBLEMS in the COURSE MMV031 HEAT TRANSFER, version 2017
EXAMPLES of THEORETICAL PROBLEMS n the COURSE MMV03 HEAT TRANSFER, verson 207 a) What s eant by sotropc ateral? b) What s eant by hoogeneous ateral? 2 Defne the theral dffusvty and gve the unts for the
More informationModule 1 : The equation of continuity. Lecture 1: Equation of Continuity
1 Module 1 : The equaton of contnuty Lecture 1: Equaton of Contnuty 2 Advanced Heat and Mass Transfer: Modules 1. THE EQUATION OF CONTINUITY : Lectures 1-6 () () () (v) (v) Overall Mass Balance Momentum
More informationIntroduction to Vapor/Liquid Equilibrium, part 2. Raoult s Law:
CE304, Sprng 2004 Lecture 4 Introducton to Vapor/Lqud Equlbrum, part 2 Raoult s Law: The smplest model that allows us do VLE calculatons s obtaned when we assume that the vapor phase s an deal gas, and
More informationA Numerical Study of Heat Transfer and Fluid Flow past Single Tube
A Numercal Study of Heat ransfer and Flud Flow past Sngle ube ZEINAB SAYED ABDEL-REHIM Mechancal Engneerng Natonal Research Center El-Bohos Street, Dokk, Gza EGYP abdelrehmz@yahoo.com Abstract: - A numercal
More informationCOMPARISON OF SOME RELIABILITY CHARACTERISTICS BETWEEN REDUNDANT SYSTEMS REQUIRING SUPPORTING UNITS FOR THEIR OPERATIONS
Avalable onlne at http://sck.org J. Math. Comput. Sc. 3 (3), No., 6-3 ISSN: 97-537 COMPARISON OF SOME RELIABILITY CHARACTERISTICS BETWEEN REDUNDANT SYSTEMS REQUIRING SUPPORTING UNITS FOR THEIR OPERATIONS
More informationDETERMINATION OF TEMPERATURE DISTRIBUTION FOR ANNULAR FINS WITH TEMPERATURE DEPENDENT THERMAL CONDUCTIVITY BY HPM
Ganj, Z. Z., et al.: Determnaton of Temperature Dstrbuton for S111 DETERMINATION OF TEMPERATURE DISTRIBUTION FOR ANNULAR FINS WITH TEMPERATURE DEPENDENT THERMAL CONDUCTIVITY BY HPM by Davood Domr GANJI
More informationONE DIMENSIONAL TRIANGULAR FIN EXPERIMENT. Technical Advisor: Dr. D.C. Look, Jr. Version: 11/03/00
ONE IMENSIONAL TRIANGULAR FIN EXPERIMENT Techncal Advsor: r..c. Look, Jr. Verson: /3/ 7. GENERAL OJECTIVES a) To understand a one-dmensonal epermental appromaton. b) To understand the art of epermental
More informationGravitational Acceleration: A case of constant acceleration (approx. 2 hr.) (6/7/11)
Gravtatonal Acceleraton: A case of constant acceleraton (approx. hr.) (6/7/11) Introducton The gravtatonal force s one of the fundamental forces of nature. Under the nfluence of ths force all objects havng
More informationMODULE 2: Worked-out Problems
MODUE : Worked-out Problems Problem : he steady-state temperature dstrbuton n a one dmensonal wall of thermal conductvty 5W/m and thckness 5 mm s observed to be ( C) abx, where a C, B- c/ m, and x n meters
More informationPHYSICS - CLUTCH CH 28: INDUCTION AND INDUCTANCE.
!! www.clutchprep.com CONCEPT: ELECTROMAGNETIC INDUCTION A col of wre wth a VOLTAGE across each end wll have a current n t - Wre doesn t HAVE to have voltage source, voltage can be INDUCED V Common ways
More informationA PROCEDURE FOR SIMULATING THE NONLINEAR CONDUCTION HEAT TRANSFER IN A BODY WITH TEMPERATURE DEPENDENT THERMAL CONDUCTIVITY.
Proceedngs of the th Brazlan Congress of Thermal Scences and Engneerng -- ENCIT 006 Braz. Soc. of Mechancal Scences and Engneerng -- ABCM, Curtba, Brazl,- Dec. 5-8, 006 A PROCEDURE FOR SIMULATING THE NONLINEAR
More informationTotal solidification time of a liquid phase change material enclosed in cylindrical/spherical containers
Appled Thermal Engneerng 25 (2005) 488 502 www.elsever.com/locate/apthermeng Total soldfcaton tme of a lqud phase change materal enclosed n cylndrcal/sphercal contaners Levent Blr *, Zafer _ Ilken Department
More informationχ x B E (c) Figure 2.1.1: (a) a material particle in a body, (b) a place in space, (c) a configuration of the body
Secton.. Moton.. The Materal Body and Moton hyscal materals n the real world are modeled usng an abstract mathematcal entty called a body. Ths body conssts of an nfnte number of materal partcles. Shown
More informationCHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE
CHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE Analytcal soluton s usually not possble when exctaton vares arbtrarly wth tme or f the system s nonlnear. Such problems can be solved by numercal tmesteppng
More informationPHYSICS - CLUTCH 1E CH 28: INDUCTION AND INDUCTANCE.
!! www.clutchprep.com CONCEPT: ELECTROMAGNETIC INDUCTION A col of wre wth a VOLTAGE across each end wll have a current n t - Wre doesn t HAVE to have voltage source, voltage can be INDUCED V Common ways
More informationChapter 5. Solution of System of Linear Equations. Module No. 6. Solution of Inconsistent and Ill Conditioned Systems
Numercal Analyss by Dr. Anta Pal Assstant Professor Department of Mathematcs Natonal Insttute of Technology Durgapur Durgapur-713209 emal: anta.bue@gmal.com 1 . Chapter 5 Soluton of System of Lnear Equatons
More informationCHEMICAL ENGINEERING
Postal Correspondence GATE & PSUs -MT To Buy Postal Correspondence Packages call at 0-9990657855 1 TABLE OF CONTENT S. No. Ttle Page no. 1. Introducton 3 2. Dffuson 10 3. Dryng and Humdfcaton 24 4. Absorpton
More informationSimulated Power of the Discrete Cramér-von Mises Goodness-of-Fit Tests
Smulated of the Cramér-von Mses Goodness-of-Ft Tests Steele, M., Chaselng, J. and 3 Hurst, C. School of Mathematcal and Physcal Scences, James Cook Unversty, Australan School of Envronmental Studes, Grffth
More informationPerfect Fluid Cosmological Model in the Frame Work Lyra s Manifold
Prespacetme Journal December 06 Volume 7 Issue 6 pp. 095-099 Pund, A. M. & Avachar, G.., Perfect Flud Cosmologcal Model n the Frame Work Lyra s Manfold Perfect Flud Cosmologcal Model n the Frame Work Lyra
More informationLecture #06 Hotwire anemometry: Fundamentals and instrumentation
AerE 344 Lecture otes Lecture #06 Hotwre anemometry: Fundamentals and nstrumentaton Dr. Hu Hu Department of Aerospace Engneerng Iowa State Unversty Ames, Iowa 500, U.S.A Thermal anemometers: Techncal Fundamentals
More informationResearch & Reviews: Journal of Engineering and Technology
Research & Revews: Journal of Engneerng and Technology Case Study to Smulate Convectve Flows and Heat Transfer n Arcondtoned Spaces Hussen JA 1 *, Mazlan AW 1 and Hasanen MH 2 1 Department of Mechancal
More informationMATH 5630: Discrete Time-Space Model Hung Phan, UMass Lowell March 1, 2018
MATH 5630: Dscrete Tme-Space Model Hung Phan, UMass Lowell March, 08 Newton s Law of Coolng Consder the coolng of a well strred coffee so that the temperature does not depend on space Newton s law of collng
More informationNumerical Heat and Mass Transfer
Master degree n Mechancal Engneerng Numercal Heat and Mass Transfer 06-Fnte-Dfference Method (One-dmensonal, steady state heat conducton) Fausto Arpno f.arpno@uncas.t Introducton Why we use models and
More informationNomenclature. I. Introduction
Effect of Intal Condton and Influence of Aspect Rato Change on Raylegh-Benard Convecton Samk Bhattacharya 1 Aerospace Engneerng Department, Auburn Unversty, Auburn, AL, 36849 Raylegh Benard convecton s
More informationEVALUATION OF THE VISCO-ELASTIC PROPERTIES IN ASPHALT RUBBER AND CONVENTIONAL MIXES
EVALUATION OF THE VISCO-ELASTIC PROPERTIES IN ASPHALT RUBBER AND CONVENTIONAL MIXES Manuel J. C. Mnhoto Polytechnc Insttute of Bragança, Bragança, Portugal E-mal: mnhoto@pb.pt Paulo A. A. Perera and Jorge
More informationSupplementary Notes for Chapter 9 Mixture Thermodynamics
Supplementary Notes for Chapter 9 Mxture Thermodynamcs Key ponts Nne major topcs of Chapter 9 are revewed below: 1. Notaton and operatonal equatons for mxtures 2. PVTN EOSs for mxtures 3. General effects
More informationIn this section is given an overview of the common elasticity models.
Secton 4.1 4.1 Elastc Solds In ths secton s gven an overvew of the common elastcty models. 4.1.1 The Lnear Elastc Sold The classcal Lnear Elastc model, or Hooean model, has the followng lnear relatonshp
More informationNON-CENTRAL 7-POINT FORMULA IN THE METHOD OF LINES FOR PARABOLIC AND BURGERS' EQUATIONS
IJRRAS 8 (3 September 011 www.arpapress.com/volumes/vol8issue3/ijrras_8_3_08.pdf NON-CENTRAL 7-POINT FORMULA IN THE METHOD OF LINES FOR PARABOLIC AND BURGERS' EQUATIONS H.O. Bakodah Dept. of Mathematc
More information829. An adaptive method for inertia force identification in cantilever under moving mass
89. An adaptve method for nerta force dentfcaton n cantlever under movng mass Qang Chen 1, Mnzhuo Wang, Hao Yan 3, Haonan Ye 4, Guola Yang 5 1,, 3, 4 Department of Control and System Engneerng, Nanng Unversty,
More informationLecture 8 Modal Analysis
Lecture 8 Modal Analyss 16.0 Release Introducton to ANSYS Mechancal 1 2015 ANSYS, Inc. February 27, 2015 Chapter Overvew In ths chapter free vbraton as well as pre-stressed vbraton analyses n Mechancal
More informationMixed Convection of the Stagnation-point Flow Towards a Stretching Vertical Permeable Sheet
Malaysan Mxed Journal Convecton of Mathematcal of Stagnaton-pont Scences 1(): Flow 17 - Towards 6 (007) a Stretchng Vertcal Permeable Sheet Mxed Convecton of the Stagnaton-pont Flow Towards a Stretchng
More informationTHERMAL PERFORMANCE ENHANCEMENT OF SOLAR PARABOLIC TROUGH COLLECTOR USING SECONDARY REFLECTOR
THERMAL PERFORMANCE ENHANCEMENT OF SOLAR PARABOLIC TROUGH COLLECTOR USING SECONDARY REFLECTOR P Sundaram 1, R Senthl Department of Mechancal Engneerng, SRM Unversty, Kattankulathur- 603 03, Chenna, Inda
More informationCOMPOSITE BEAM WITH WEAK SHEAR CONNECTION SUBJECTED TO THERMAL LOAD
COMPOSITE BEAM WITH WEAK SHEAR CONNECTION SUBJECTED TO THERMAL LOAD Ákos Jósef Lengyel, István Ecsed Assstant Lecturer, Professor of Mechancs, Insttute of Appled Mechancs, Unversty of Mskolc, Mskolc-Egyetemváros,
More informationOPTIMIZATION ANALYSIS FOR LOUVER-FINNED HEAT EXCHANGERS
- 1 - OPTIMIZATION ANALYSIS FOR LOUVER-FINNED HEAT EXCHANGERS Jn-Yuh Jang, Professor,Department of Mechancal Engneerng, Natonal Cheng Kung Unversty, Tanan, Tawan 70101, Bng-Ze L, graduate student,,department
More informationELASTIC WAVE PROPAGATION IN A CONTINUOUS MEDIUM
ELASTIC WAVE PROPAGATION IN A CONTINUOUS MEDIUM An elastc wave s a deformaton of the body that travels throughout the body n all drectons. We can examne the deformaton over a perod of tme by fxng our look
More informationIrregular vibrations in multi-mass discrete-continuous systems torsionally deformed
(2) 4 48 Irregular vbratons n mult-mass dscrete-contnuous systems torsonally deformed Abstract In the paper rregular vbratons of dscrete-contnuous systems consstng of an arbtrary number rgd bodes connected
More informationWeek3, Chapter 4. Position and Displacement. Motion in Two Dimensions. Instantaneous Velocity. Average Velocity
Week3, Chapter 4 Moton n Two Dmensons Lecture Quz A partcle confned to moton along the x axs moves wth constant acceleraton from x =.0 m to x = 8.0 m durng a 1-s tme nterval. The velocty of the partcle
More informationModeling of Dynamic Systems
Modelng of Dynamc Systems Ref: Control System Engneerng Norman Nse : Chapters & 3 Chapter objectves : Revew the Laplace transform Learn how to fnd a mathematcal model, called a transfer functon Learn how
More informationThe Two-scale Finite Element Errors Analysis for One Class of Thermoelastic Problem in Periodic Composites
7 Asa-Pacfc Engneerng Technology Conference (APETC 7) ISBN: 978--6595-443- The Two-scale Fnte Element Errors Analyss for One Class of Thermoelastc Problem n Perodc Compostes Xaoun Deng Mngxang Deng ABSTRACT
More informationChapter 6 Electrical Systems and Electromechanical Systems
ME 43 Systems Dynamcs & Control Chapter 6: Electrcal Systems and Electromechancal Systems Chapter 6 Electrcal Systems and Electromechancal Systems 6. INTODUCTION A. Bazoune The majorty of engneerng systems
More informationis the calculated value of the dependent variable at point i. The best parameters have values that minimize the squares of the errors
Multple Lnear and Polynomal Regresson wth Statstcal Analyss Gven a set of data of measured (or observed) values of a dependent varable: y versus n ndependent varables x 1, x, x n, multple lnear regresson
More informationParameter Estimation for Dynamic System using Unscented Kalman filter
Parameter Estmaton for Dynamc System usng Unscented Kalman flter Jhoon Seung 1,a, Amr Atya F. 2,b, Alexander G.Parlos 3,c, and Klto Chong 1,4,d* 1 Dvson of Electroncs Engneerng, Chonbuk Natonal Unversty,
More informationSpin-rotation coupling of the angularly accelerated rigid body
Spn-rotaton couplng of the angularly accelerated rgd body Loua Hassan Elzen Basher Khartoum, Sudan. Postal code:11123 E-mal: louaelzen@gmal.com November 1, 2017 All Rghts Reserved. Abstract Ths paper s
More informationVisco-Rubber Elastic Model for Pressure Sensitive Adhesive
Vsco-Rubber Elastc Model for Pressure Senstve Adhesve Kazuhsa Maeda, Shgenobu Okazawa, Koj Nshgch and Takash Iwamoto Abstract A materal model to descrbe large deformaton of pressure senstve adhesve (PSA
More informationEN40: Dynamics and Vibrations. Homework 4: Work, Energy and Linear Momentum Due Friday March 1 st
EN40: Dynamcs and bratons Homework 4: Work, Energy and Lnear Momentum Due Frday March 1 st School of Engneerng Brown Unversty 1. The fgure (from ths publcaton) shows the energy per unt area requred to
More informationCOEFFICIENT DIAGRAM: A NOVEL TOOL IN POLYNOMIAL CONTROLLER DESIGN
Int. J. Chem. Sc.: (4), 04, 645654 ISSN 097768X www.sadgurupublcatons.com COEFFICIENT DIAGRAM: A NOVEL TOOL IN POLYNOMIAL CONTROLLER DESIGN R. GOVINDARASU a, R. PARTHIBAN a and P. K. BHABA b* a Department
More informationProblem Set 9 Solutions
Desgn and Analyss of Algorthms May 4, 2015 Massachusetts Insttute of Technology 6.046J/18.410J Profs. Erk Demane, Srn Devadas, and Nancy Lynch Problem Set 9 Solutons Problem Set 9 Solutons Ths problem
More informationNote 10. Modeling and Simulation of Dynamic Systems
Lecture Notes of ME 475: Introducton to Mechatroncs Note 0 Modelng and Smulaton of Dynamc Systems Department of Mechancal Engneerng, Unversty Of Saskatchewan, 57 Campus Drve, Saskatoon, SK S7N 5A9, Canada
More informationEffect of variable thermal conductivity on heat and mass transfer flow over a vertical channel with magnetic field intensity
Appled and Computatonal Mathematcs 014; 3(): 48-56 Publshed onlne Aprl 30 014 (http://www.scencepublshnggroup.com/j/acm) do: 10.11648/j.acm.014030.1 Effect of varable thermal conductvty on heat and mass
More informationFLOW AND HEAT TRANSFER OF THREE IMMISCIBLE FLUIDS IN THE PRESENCE OF UNIFORM MAGNETIC FIELD
THERMAL SCIENCE: Year 04, Vol. 8, No., pp. 09-08 09 FLOW AND HEAT TRANSFER OF THREE IMMISCIBLE FLUIDS IN THE PRESENCE OF UNIFORM MAGNETIC FIELD by Dragša D. NIKODIJEVI], vojn M. STAMENKOVI], Mloš M. JOVANOVI],
More informationHEAT TRANSFER THROUGH ANNULAR COMPOSITE FINS
Journal of Mechancal Engneerng and Technology (JMET) Volume 4, Issue 1, Jan-June 2016, pp. 01-10, Artcle ID: JMET_04_01_001 Avalable onlne at http://www.aeme.com/jmet/ssues.asp?jtype=jmet&vtype=4&itype=1
More informationNUMERICAL MODEL FOR NON-DARCY FLOW THROUGH COARSE POROUS MEDIA USING THE MOVING PARTICLE SIMULATION METHOD
THERMAL SCIENCE: Year 2018, Vol. 22, No. 5, pp. 1955-1962 1955 NUMERICAL MODEL FOR NON-DARCY FLOW THROUGH COARSE POROUS MEDIA USING THE MOVING PARTICLE SIMULATION METHOD Introducton by Tomok IZUMI a* and
More informationFORCED CONVECTION HEAT TRANSFER FROM A RECTANGULAR CYLINDER: EFFECT OF ASPECT RATIO
ISTP-,, PRAGUE TH INTERNATIONAL SYMPOSIUM ON TRANSPORT PHENOMENA FORCED CONVECTION HEAT TRANSFER FROM A RECTANGULAR CYLINDER: EFFECT OF ASPECT RATIO Mohammad Rahnama*, Seyed-Mad Hasheman*, Mousa Farhad**
More informationTurbulent Natural Convection of Heat with Localized Heating and Cooling on Adjacent Vertical Walls in an Enclosure
Internatonal Journal of Scence and esearch (IJS ISSN (Onlne: 319-7064 Turbulent Natural Convecton of Heat wth Localzed Heatng and Coolng on Adacent Vertcal Walls n an Enclosure 1 Chrstopher Onchaga, J.K.Sgey,
More informationAmplification and Relaxation of Electron Spin Polarization in Semiconductor Devices
Amplfcaton and Relaxaton of Electron Spn Polarzaton n Semconductor Devces Yury V. Pershn and Vladmr Prvman Center for Quantum Devce Technology, Clarkson Unversty, Potsdam, New York 13699-570, USA Spn Relaxaton
More informationForce = F Piston area = A
CHAPTER III Ths chapter s an mportant transton between the propertes o pure substances and the most mportant chapter whch s: the rst law o thermodynamcs In ths chapter, we wll ntroduce the notons o heat,
More informationLecture Note 3. Eshelby s Inclusion II
ME340B Elastcty of Mcroscopc Structures Stanford Unversty Wnter 004 Lecture Note 3. Eshelby s Incluson II Chrs Wenberger and We Ca c All rghts reserved January 6, 004 Contents 1 Incluson energy n an nfnte
More informationMathematical Preparations
1 Introducton Mathematcal Preparatons The theory of relatvty was developed to explan experments whch studed the propagaton of electromagnetc radaton n movng coordnate systems. Wthn expermental error the
More informationThermal State Investigations of Two-stage Thruster with Anode Layer
Thermal State Investgatons of Two-stage Thruster wth Anode Layer IEPC-2007-127 Presented at the 30 th Internatonal Electrc Propulson Conference, Florence, Italy Mtroshn A.S. *, Garkusha V.I., Semenkn A.V.
More informationStatistical Evaluation of WATFLOOD
tatstcal Evaluaton of WATFLD By: Angela MacLean, Dept. of Cvl & Envronmental Engneerng, Unversty of Waterloo, n. ctober, 005 The statstcs program assocated wth WATFLD uses spl.csv fle that s produced wth
More informationIntroduction to Computational Fluid Dynamics
Introducton to Computatonal Flud Dynamcs M. Zanub 1, T. Mahalakshm 2 1 (PG MATHS), Department of Mathematcs, St. Josephs College of Arts and Scence for Women-Hosur, Peryar Unversty 2 Assstance professor,
More informationThe Finite Element Method
The Fnte Element Method GENERAL INTRODUCTION Read: Chapters 1 and 2 CONTENTS Engneerng and analyss Smulaton of a physcal process Examples mathematcal model development Approxmate solutons and methods of
More informationGeoSteamNet: 2. STEAM FLOW SIMULATION IN A PIPELINE
PROCEEDINGS, Thrty-Ffth Workshop on Geothermal Reservor Engneerng Stanford Unversty, Stanford, Calforna, February 1-3, 010 SGP-TR-188 GeoSteamNet:. STEAM FLOW SIMULATION IN A PIPELINE Mahendra P. Verma
More informationThe non-negativity of probabilities and the collapse of state
The non-negatvty of probabltes and the collapse of state Slobodan Prvanovć Insttute of Physcs, P.O. Box 57, 11080 Belgrade, Serba Abstract The dynamcal equaton, beng the combnaton of Schrödnger and Louvlle
More informationFinite Difference Solution for Precooling Process of Fish Packages
Amercan Journal of Appled Scences (4): 36-30, 004 ISSN 546-939 Scence Publcatons, 004 Fnte Dfference Soluton for Precoolng Process of Fsh Packages K.A. Abbas, F.A. Ansar, A.S. Mokhtar, A.O. Ashraf, M.A.
More informationA Hybrid Variational Iteration Method for Blasius Equation
Avalable at http://pvamu.edu/aam Appl. Appl. Math. ISSN: 1932-9466 Vol. 10, Issue 1 (June 2015), pp. 223-229 Applcatons and Appled Mathematcs: An Internatonal Journal (AAM) A Hybrd Varatonal Iteraton Method
More informationDetermining the Temperature Distributions of Fire Exposed Reinforced Concrete Cross-Sections with Different Methods
Research Journal of Envronmental and Earth Scences 4(8): 782-788, 212 ISSN: 241-492 Maxwell Scentfc Organzaton, 212 Submtted: May 21, 212 Accepted: June 23, 212 Publshed: August 2, 212 Determnng the Temperature
More informationColor Rendering Uncertainty
Australan Journal of Basc and Appled Scences 4(10): 4601-4608 010 ISSN 1991-8178 Color Renderng Uncertanty 1 A.el Bally M.M. El-Ganany 3 A. Al-amel 1 Physcs Department Photometry department- NIS Abstract:
More informationConduction Shape Factor Models for Three-Dimensional Enclosures
JOURNAL OF THERMOPHYSICS AND HEAT TRANSFER Vol. 19, No. 4, October December 005 Conducton Shape Factor Models for Three-Dmensonal Enclosures P. Teertstra, M. M. Yovanovch, and J. R. Culham Unversty of
More informationImplicit Integration Henyey Method
Implct Integraton Henyey Method In realstc stellar evoluton codes nstead of a drect ntegraton usng for example the Runge-Kutta method one employs an teratve mplct technque. Ths s because the structure
More informationUniversiti Malaysia Perlis, Pauh Putra Campus, Arau, Perlis, Malaysia. Jalan Permatang Pauh, Pauh, Pulau Pinang, Malaysia
Mathematcal modelng on thermal energy storage systems N. A. M. Amn 1,a, M. A. Sad 2,b, A. Mohamad 3,c, M. S. Abdul Majd 4,d, M. Afend 5,e,. Daud 6,f, F. Bruno 7,g and M. Belusko 8,h 1,3,4,5,6 Mechancal
More informationThe Tangential Force Distribution on Inner Cylinder of Power Law Fluid Flowing in Eccentric Annuli with the Inner Cylinder Reciprocating Axially
Open Journal of Flud Dynamcs, 2015, 5, 183-187 Publshed Onlne June 2015 n ScRes. http://www.scrp.org/journal/ojfd http://dx.do.org/10.4236/ojfd.2015.52020 The Tangental Force Dstrbuton on Inner Cylnder
More informationOptimal Control of Temperature in Fluid Flow
Kawahara Lab. 5 March. 27 Optmal Control of Temperature n Flud Flow Dasuke YAMAZAKI Department of Cvl Engneerng, Chuo Unversty Kasuga -3-27, Bunkyou-ku, Tokyo 2-855, Japan E-mal : d33422@educ.kc.chuo-u.ac.jp
More informationx = , so that calculated
Stat 4, secton Sngle Factor ANOVA notes by Tm Plachowsk n chapter 8 we conducted hypothess tests n whch we compared a sngle sample s mean or proporton to some hypotheszed value Chapter 9 expanded ths to
More informationSome Comments on Accelerating Convergence of Iterative Sequences Using Direct Inversion of the Iterative Subspace (DIIS)
Some Comments on Acceleratng Convergence of Iteratve Sequences Usng Drect Inverson of the Iteratve Subspace (DIIS) C. Davd Sherrll School of Chemstry and Bochemstry Georga Insttute of Technology May 1998
More informationSTUDY ON TWO PHASE FLOW IN MICRO CHANNEL BASED ON EXPERI- MENTS AND NUMERICAL EXAMINATIONS
Blucher Mechancal Engneerng Proceedngs May 0, vol., num. www.proceedngs.blucher.com.br/evento/0wccm STUDY ON TWO PHASE FLOW IN MICRO CHANNEL BASED ON EXPERI- MENTS AND NUMERICAL EXAMINATIONS Takahko Kurahash,
More informationTurbulent Flow in Curved Square Duct: Prediction of Fluid flow and Heat transfer Characteristics
Internatonal Research Journal of Engneerng and Technology (IRJET) e-issn: 2395-56 Volume: 4 Issue: 7 July -217 www.ret.net p-issn: 2395-72 Turbulent Flow n Curved Square Duct: Predcton of Flud flow and
More informationLecture 5.8 Flux Vector Splitting
Lecture 5.8 Flux Vector Splttng 1 Flux Vector Splttng The vector E n (5.7.) can be rewrtten as E = AU (5.8.1) (wth A as gven n (5.7.4) or (5.7.6) ) whenever, the equaton of state s of the separable form
More informationQuantitative Discrimination of Effective Porosity Using Digital Image Analysis - Implications for Porosity-Permeability Transforms
2004, 66th EAGE Conference, Pars Quanttatve Dscrmnaton of Effectve Porosty Usng Dgtal Image Analyss - Implcatons for Porosty-Permeablty Transforms Gregor P. Eberl 1, Gregor T. Baechle 1, Ralf Weger 1,
More informationPop-Click Noise Detection Using Inter-Frame Correlation for Improved Portable Auditory Sensing
Advanced Scence and Technology Letters, pp.164-168 http://dx.do.org/10.14257/astl.2013 Pop-Clc Nose Detecton Usng Inter-Frame Correlaton for Improved Portable Audtory Sensng Dong Yun Lee, Kwang Myung Jeon,
More informationHEAT TRANSFER IN ELECTRONIC PACKAGE SUBMITTED TO TIME-DEPENDANT CLIMATIC CONDITIONS
ISTP-16, 005, PRAGUE 16 TH INTERNATIONAL SYMPOSIUM ON TRANSPORT PHENOMENA HEAT TRANSFER IN ELECTRONIC PACKAGE SUBMITTED TO TIME-DEPENDANT CLIMATIC CONDITIONS Valére Ménard*, Phlppe Reulet**, Davd Nörtershäuser*,
More informationCinChE Problem-Solving Strategy Chapter 4 Development of a Mathematical Model. formulation. procedure
nhe roblem-solvng Strategy hapter 4 Transformaton rocess onceptual Model formulaton procedure Mathematcal Model The mathematcal model s an abstracton that represents the engneerng phenomena occurrng n
More informationThermal Stresses in a Nano-Composite Slab Due to Non-Fourier Heat transfer
nd Internatonal Conference on echancal, Electroncs and echatroncs Engneerng (ICEE'3) June 7-8, 3 London (UK) hermal Stresses n a Nano-Composte Slab Due to Non-Fourer Heat transfer Ahmed. Ahmed Abstract
More informationGlobal Sensitivity. Tuesday 20 th February, 2018
Global Senstvty Tuesday 2 th February, 28 ) Local Senstvty Most senstvty analyses [] are based on local estmates of senstvty, typcally by expandng the response n a Taylor seres about some specfc values
More informationUncertainty and auto-correlation in. Measurement
Uncertanty and auto-correlaton n arxv:1707.03276v2 [physcs.data-an] 30 Dec 2017 Measurement Markus Schebl Federal Offce of Metrology and Surveyng (BEV), 1160 Venna, Austra E-mal: markus.schebl@bev.gv.at
More informationUncertainty as the Overlap of Alternate Conditional Distributions
Uncertanty as the Overlap of Alternate Condtonal Dstrbutons Olena Babak and Clayton V. Deutsch Centre for Computatonal Geostatstcs Department of Cvl & Envronmental Engneerng Unversty of Alberta An mportant
More information2 Finite difference basics
Numersche Methoden 1, WS 11/12 B.J.P. Kaus 2 Fnte dfference bascs Consder the one- The bascs of the fnte dfference method are best understood wth an example. dmensonal transent heat conducton equaton T
More informationPhysics 3 (PHYF144) Chap 2: Heat and the First Law of Thermodynamics System. Quantity Positive Negative
Physcs (PHYF hap : Heat and the Frst aw of hermodynamcs -. Work and Heat n hermodynamc Processes A thermodynamc system s a system that may exchange energy wth ts surroundngs by means of heat and work.
More informationWeek 9 Chapter 10 Section 1-5
Week 9 Chapter 10 Secton 1-5 Rotaton Rgd Object A rgd object s one that s nondeformable The relatve locatons of all partcles makng up the object reman constant All real objects are deformable to some extent,
More informationComputational Fluid Dynamics. Smoothed Particle Hydrodynamics. Simulations. Smoothing Kernels and Basis of SPH
Computatonal Flud Dynamcs If you want to learn a bt more of the math behnd flud dynamcs, read my prevous post about the Naver- Stokes equatons and Newtonan fluds. The equatons derved n the post are the
More informationDr. Shalabh Department of Mathematics and Statistics Indian Institute of Technology Kanpur
Analyss of Varance and Desgn of Experment-I MODULE VII LECTURE - 3 ANALYSIS OF COVARIANCE Dr Shalabh Department of Mathematcs and Statstcs Indan Insttute of Technology Kanpur Any scentfc experment s performed
More information