Effect of Water Gas Shift Reaction on the Non-Isothermal Reduction of Wustite Porous Pellet Using Syngas

Size: px
Start display at page:

Download "Effect of Water Gas Shift Reaction on the Non-Isothermal Reduction of Wustite Porous Pellet Using Syngas"

Transcription

1 Internatonal Journal of ISSI, Vol.8 (211, No.2, pp.9-15 Effect of Water Gas Shft Reacton on the Non-Isothermal Reducton of Wustte Porous Pellet Usng Syngas M. S. Valpour 1 * and M. H. Mokhtar 2 Heterogeneous Reactons Research Group, School of Mechancal Engneerng, Semnan Unversty, P. O. Box: , Semnan, Iran Abstract Effect of water gas shft reacton (CO+H 2 O=CO 2 +H 2 on wustte reducton has been nvestgated by a transent, non-sothermal mathematcal model based on gran model. In ths model, wustte porous pellet s reduced usng Syngas, namely a mxture of hydrogen, carbon monoxde, carbon doxde and water vapor. For ths purpose, governng equatons contanng contnuty equaton of speces and energy equaton have numercally been solved by fnte volume fully mplct method. The model has been valdated by comparng t wth expermental data from lterature. It was found a good agreement between model results and expermental data. Model results have been presented for the pellet reducton ncludng wth and wthout Water Gas Shft Reacton (WGSR. It was found that n pellet scale model, the ect of WGSR s not consderable on the rate of wustte reducton and temperature dstrbuton nsde the pellet. However t affects the dstrbuton of mole fracton of gaseous speces consderably. Keywords: Water Gas Shft Reacton (WGSR, Drect reducton, Wustte pellet, Syngas, Reducton rate, Fnte volume method Introducton 1 Reducton of hematte ron oxde s usually proceeded at three stages,.e. Reducton of hematte to magnette, magnette to wustte and wustte to ron. Among these stages, the reducton of wustte to ron s the slowest stage 1. Therefore, t can be consdered as the rate controllng step n hematte reducton. Many mathematcal models have been reported to understandng the reducton behavor of ron oxdes n drect reducton processes. Most of these models deal wth hematte reducton 2-11 and accordng to the best our knowledge, only two models about wustte reducton has been reported. At the frst one, Usu et al. 12 have developed a mathematcal model for sothermal reducton of wustte pellet usng hydrogen and at the another one, Valpour and Khoshandam 13 have developed a model to nvestgate non-sothermal reducton of wustte porous pellet usng Syngas, namely a mxture of hydrogen, carbon monoxde, carbon doxde and water vapor. A sgnfcant shortcomng of these models s neglectng the ect of WGSR. For typcal operatng condtons n an ndustral reducng shaft furnace usng a mxture of H 2 and CO, water gas shft reacton (WGSR s catalyzed by ron and ts oxdes. Therefore, t s the most mportant sde reacton 14 n drect ron reducton processes. In ths study, the ect of water gas shft reacton on wustte reducton has been nvestgated n pellet scale by a transent, non-sothermal mathematcal model based on gran model. 2. Concept of phenomena and assumptons In order to nvestgate the behavor of a sngle pellet n reducng gas flow, the pellet s assumed as a control volume. It s assumed that the sphercal porous pellet has been made of small dense grans wth almost constant radus. The reducng gas, ncludng manly of hydrogen and carbon monoxde, dffuses through pores of the pellet to react at the nterface and after the reacton wth wustte, products of the reacton dffuses back to the outsde of the pellet and bulk flow respectvely. Fgure 1 shows a schematc confguraton of a porous pellet under the gran model n reducton process. * Correspondng author: Tel: Fax: E-mal: msvalpour@semnan.ac.r Address: Heterogeneous Reactons Research Group, School of Mechancal Engneerng, Semnan Unversty, P. O. Box: , Semnan, Iran. 1. Assstant Professor 2. M.Sc.

2 Internatonal Journal of ISSI, Vol.8 (211, No.2 And overall fractonal reducton of the pellet may be estmated as an ntegraton of f over the entre pellet. 3 F = 3 R P R P r 2 f d r (6 Also, the rate of forward water gas shft reacton s gven by the followng equaton 15 : Fg. 1. Schematc confguraton of a porous pellet under the gran model n reducton process. Man reactons consdered n ths study are the wustte reducton reactons wth hydrogen and carbon monoxde and water gas shft reacton as follows: FeO+H 2 =Fe+H 2 O G T = T FeO+CO=Fe+CO 2 G T = T CO+H 2 O=CO 2 +H 2 G T = T T 57 C T 57 C Accordng to the concept of phenomena, the followng assumptons have been made to obtan governng equatons: The pellet has a sphercal shape wth a constant radus, R P. It has unform and constant porosty, ε. It s made of small dense grans wth constant radus, r g. The reducton of each gran s reversble, frst order and proceeds topochemcally. The Effect of water gas shft reacton s consdered. The Heat of reacton for WGSR s gven to gas phase. Total pressure s the same nsde and outsde of the pellet. There s no change n pellet dameter durng the reducton process and no crack s formed. 3. Governng equatons 3.1. Reacton rate equatons Accordng to the assumptons, the rate of reducton reacton of a gran usng reducng gas s gven as follows: 3(1 ε kr, e n r, = 1 ( 1 f ( C C r + (4 g Ke r, The local fractonal reducton of grans, defned as f =1-(r l /r g 3, s calculated by equaton (5, f = = H2,CO 3kr, ρo rg Ke r, ( 1 f 2 3 e ( C C (1 (2 (3 (5 (7 n 2 = ε k ( 2 wpt yco yh 2O yh y 2 CO2 / Ke w, CO w 3.2. Contnuty equaton of speces Contnuty equaton for each component of the reducng gas s wrtten as a combnaton of dffuson and chemcal reactons as follows: ( εc = ( D ( εc = ( D, C n r, + ν, wn w,, = H,CO, C + nr, + ν, wnw,, = H 2O,CO2 2 (8 (9 where ν,w and ν,w are the stochometrc cocents of -th and -th speces appearng n water gas shft reacton. They are postve for the products and negatve for the reactants of WGSR Energy equaton Energy equaton s wrtten as a combnaton of conducton heat transfer and heat generaton or consumpton due to chemcal reactons as follows: ( ρc T P n r, = H 2,CO = ( H T, r, ( λ T + n ( H 3.4. Intal and boundary condtons w T, w + (1 The governng equatons are subected to the followng boundary and ntal condtons: On pellet surface, r=r P, contnuty of heat and mass fluxes yelds equatons (11 to (13. T t λ = h( Ts t Tb (11 C t D, = km, ( C t Cb, (12 C t D, = km, ( C t Cb, (13 1

3 Internatonal Journal of ISSI, Vol.8 (211, No.2 Symmetry at the centre of pellet, r=, yelds followng boundary condtons: T (, t = (14 C (, t = (15 C (16 (, t = Intal values of tme-dependent varables are defned as follows: T ( r, = T (17 C = (18 ( r, C, C = (19 ( r, C, f ( r, = f (2 4. Parameter estmaton Physcochemcal parameters such as heat and mass transfer cocents, ectve dffusvty, ectve thermal conductvty and ectve heat capacty are estmated by emprcal relatons. These emprcal relatons have been ntroduced by the authors n the prevous paper Frequency factor and actvaton energy Frequency factor and actvaton energy are requred n order to calculate the reacton rate constant wth regards to the Arrhenus law. Frequency factor, actvaton energy and equlbrum constant are lsted n Tables 1 and 2 for reducton by hydrogen, equaton (1, and water gas shft reacton, equaton (3, respectvely. Reacton rate constant for reducton by carbon monoxde s assumed 1/5 of the reducton by hydrogen 16. For water gas shft reacton, when the reducton rate s under 5%, the rate constant s catalyzed by FeO and for the reducton rate above 5%, rate constant s catalyzed by Fe. 5. Numercal soluton Nearly all equatons are nonlnear and coupled. Moreover, physcochemcal parameters such as rate constants, equlbrum constants and etc. depend on temperature. So, the analytcal soluton wll be complcated and the governng equatons are solved by a computatonal method as fnte volume fully mplct method. In ths method, the governng equatons are dscretzed usng control volume approach 17. Dscretzaton process has been dscussed n detal n prevous papers 1, 18. After dscretzaton, the partal dfferental governng equatons are reduced to a large set of coupled lnear algebrac equatons. Ths set of equatons s solved by ndrect teratve procedure as tr-dagonal matrx algorthm (TDMA method 17. The fully mplct method has been appled to ensure numercal stablty and to allow the use of a large tme step, whch s a desrable feature when dealng wth reacton problems Model valdaton Expermental data reported by Usu et al. 12 for the overall fractonal reducton of a reagent wustte pellet has been used for the valdaton of model estmatons. The model s run to smulate the sothermal reducton process n the atmosphere of hydrogen. Fgure 2 shows a comparson between the expermental data and predctons of the present model. As shown n ths fgure, there s a good agreement between model estmatons and expermental data. Table 1. Rate parameters for the reducton of wustte by hydrogen 13 Reacton k,r (m s -1 E a (J mol -1 Ke FeO + H 2 Fe + H 2 O exp ( /T Table 2. Rate parameters for water gas shft reacton 15 Reacton Catalyst k,w (mol s -1 m -3 atm -2 E a (J mol -1 Ke 6 Fe CO + H 2 O = CO 2 + H 2 FeO exp (3863.7/T

4 Internatonal Journal of ISSI, Vol.8 (211, No.2 Fgure 4 shows temperature dstrbuton at three dfferent postons wthn the pellet n WWGSR. As shown n ths fgure, three temperature dstrbutons are very close to each other. Ths fgure shows that temperature dstrbuton wthn the pellet depends mostly on tme and t s not consderably affected by poston nsde the pellet. Fgure 5 shows the nfluence of WGSR on temperature dstrbuton at r=r P /2. Ths fgure shows that the ect of WGSR s very small and t s as lowerng the temperature. Ths small ect may be due to the small reacton rate of water gas shft reacton. Fg. 2. Comparson of the overall reducton rate for a reagent wustte pellet by hydrogen among model results and expermental data 12 (R P =6 mm, ε=.44, T b =1173 K. 7. Results and dscusson Results are presented n two ways. At the frst one, the smulaton s appled for WGSR whch s denoted by WWGSR. In the Second way, smulaton s done wthout WGSR whch s denoted by NWGSR. Pellet characterstcs and reducng gas parameters whch are used n smulatons are ndcated n Table 3. Table 3. Pellet characterstcs and reducng gas parameters used n model estmatons Fg. 4. Temperature dstrbuton versus tme at three dfferent postons wthn the pellet n WWGSR. R P (mm ε T b (K P t (bar y H2,b y H2O,b y CO,b y CO2,b Effect of water gas shft reacton Effect of WGSR on the wustte reducton rate s llustrated n Fgure 3. As shown n ths fgure, ect of WGSR on the rate of wustte reducton s very small. When t s focused n ths fgure, the reducton rate s lowered due to WGSR. Fg. 5. Influence of WGSR on temperature dstrbuton at r=r P /2. Fg. 3. Influence of WGSR on the wustte overall reducton rate. Effect of WGSR on the mole fracton of gaseous speces wthn the pellet s shown n Fgure 6. It s ndcated n ths fgure that: In NWGSR, mole fracton of each component of the reducng gas at all three dfferent postons wthn the pellet tends to be the same value. However, n 12

5 Internatonal Journal of ISSI, Vol.8 (211, No.2 WWGSR model, these mole fractons tend to be dfferent values. Ths ect may be explaned as follows. In NWGSR, when the pellet s completely reduced, there s no more change n gaseous mole fractons by reducton reactons. But n WWGSR, after completon of the reducton, WGSR s stll proceeded and catalyzed by Fe. Therefore t can change the gaseous speces mole fractons. Wth regards to Fgure 4, ncreasng temperature and over tme, the equlbrum constant (Ke of WGSR decreases (see Table 2. Thus, accordng to mole fractons n Table 3 and equaton (7, WGSR proceeds n reverse drecton. Consequently, hydrogen and carbon doxde are consumed and carbon monoxde and water vapour are produced. The ect of WGSR on mole fractons s maxmum at r=, mnmum at r=r P and ntermedate at r=r P / Effect of gas rato and gas utlty In ndustral reducton processes, gas rato (β=h 2 /CO commonly vares n the range of <β<4. and gas utlty (γ=(h 2 +CO/(H 2 O+CO 2 may be changed n the range of 5<γ<49 dependng on the gas reformng system 16. Fgure 7 shows the tme requred for 85% reducton of the wustte pellet usng gas mxtures wth a constant gas utlty and varable gas rato n WWGSR and NWGSR. As shown n ths fgure, n both WWGSR and NWGSR, the tme requred for 85% reducton s decreased as gas rato s rased. The ect of WGSR on ths fgure s very small and t s as lowerng the reducton rate. The tme requred for 85% reducton of the wustte pellet vs. gas utlty s llustrated n Fgure 8. As shown n ths fgure, the rate of reducton s ncreased as the gas utlty s rased, n both WWGSR and NWGSR. Smlar to gas rato, the ect of WGSR on Fgure 8 s very lttle and t s as lowerng the reducton rate. (a (b (c (d Fg. 6. Effect of WGSR on the gaseous speces mole fractons wthn the pellet: (a Hydrogen mole fracton, (b Carbon monoxde mole fracton, (c Water vapour mole fracton and (d Carbon doxde mole fracton. 13

6 Internatonal Journal of ISSI, Vol.8 (211, No.2 Lst of symbols C C P concentraton of the gaseous speces, (mol m -3 specfc heat at constant pressure, (J Kg -1 K -1 D dffusvty of the gaseous speces, (m 2 s -1 E a actvaton energy, (J mol -1 Fg. 7. Tme requred for 85% reducton of the wustte pellet vs. gas rato. f, F local fractonal reducton of grans and overall fractonal reducton, respectvely, (- h convectve heat transfer cocent, (W m -2 K -1 (-ΔH T heat of reacton at temperature T, (J mol -1 k m mass transfer cocent of the gaseous speces through gaseous flm, (m s -1 k r k w rate constant of reducton reactons, (m s -1 rate constant of the water gas shft reacton, (mol s -1 m -3 atm -2 k,r frequency factor of reducton reactons, (m s -1 k,w frequency factor of the water gas shft reacton, (mol s -1 m -3 atm -2 Ke equlbrum constant, (- Fg. 8. Tme requred for 85% reducton of the wustte pellet vs. gas utlty. n rate of chemcal reactons, (mol m -3 s -1 P pressure, (atm 8. Concluson r radal coordnate n the pellet, (m A transent and non-sothermal mathematcal model based on gran model s developed to nvestgate the ect of WGSR on the rate of wustte reducton wth and wthout WGSR. Model results were presented wth and wthout WGSR. The followng results have been obtaned: 1. Effect of WGSR on the wustte reducton rate s very lttle and t s lowered due to WGSR. 2. Temperature dstrbuton wthn the pellet s mostly a functon of tme and t s not affected by the poston nsde the pellet. 3. Effect of WGSR on temperature s very small and the temperature s lowered due to WGSR. 4. Wth consderng WGSR, the mole fractons of carbon monoxde and water vapour are ncreased and the mole fractons of hydrogen and carbon doxde are decreased. 5. The rate of reducton s ncreased as gas rato and gas utlty are rased. However, the rate of reducton decreases due to WGSR. r g, r l R P t T y rad of a gran and reacton nterface wthn a gran, respectvely, (m pellet radus, (m tme, (s temperature, (K mole fracton of components of the reducng gas, (- β=h 2 /CO reducng gas rato, (- ε porosty of the pellet, (- γ = (H 2 +CO/ (H 2 O+CO 2 reducng gas utlty, (- λ thermal conductvty, (W m -1 K -1 ρ mass densty, (Kg m -3 ρ O molar densty of reducble oxygen wthn the grans, (g-atom O m -3 14

7 Internatonal Journal of ISSI, Vol.8 (211, No.2 Subscrpts b related to bulk flow of Syngas ectve parameters related to gaseous reactants n reducton reactons (H 2 and CO related to gaseous products n reducton reactons (H 2 O and CO 2 r, w related to reducton reactons and the water gas shft reacton, respectvely s t related to sold phase (wustte related to total value of parameters related to ntal value of parameters Superscrpts e References related to equlbrum condton [1] M. S. Valpour and Y. Sabooh: Modellng Smul. Mater. Sc. Eng., 15(27, 487. [2] R. H. Sptzer, F. S. Mannng and W. O. Phlbrook: Trans. Metall. Soc. AIME, 236(1966a, 726. [3] R. H. Sptzer, F. S. Mannng and W. O. Phlbrook: Trans. Metall. Soc. AIME, 236(1966b, [4] R. H. Ten and E. T. Turkdogan: Metall. Mater. Trans. B, 3(1972, 239. [5] Q. T. Tsay, W. H. Ray and J. Szekely: AIChE J., 22(1976, 164. [6] Y. Hara, M. Sakawa and S. Kondo: Tetsu-to- Hagane, 62(1976, 315. [7] E. D. Negr, O. M. Alfano and M. G. Chovetta: Chem. Eng. Sc., 42(1987, [8] K. O. Yu and P. P. Glls: Metall. Mater. Trans. B, 12(1981, 111. [9] A. Bonalde, A. Henrquez and M. Manrque: ISIJ Int., 45(25, [1] M. S. Valpour, M. Y. Motamed Hashem and Y. Sabooh: Adv. Powder Technol., 17(26, 277. [11] M. S. Valpour: Scenta Iranca, Transactons C: Chemstry and Chemcal Engneerng, 16(29, 18. [12] T. Usu, M. Ohm and E. Yamamura: ISIJ Int., 3(199, 347. [13] M. S. Valpour and B. Khoshandam: Ironmakng and Steelmakng, 36(29, 91. [14] E. D. Negr, O. M. Alfano and M.G. Chovetta: Ind. Eng. Chem. Res., 34(1995, [15] M. Ishgak, R. Takahash and Y. Takahash: Bull. Res. Inst. Mn. Dressng Metall., 38(1982, 35. [16] Y. Takenaka, Y. Kmura, K. Narta and D. Kaneko: Comput. Chem. Eng., 1(1986, 67. [17] H. K. Versteeg and W. Malalasekera: An ntroducton to computatonal flud dynamcs: The fnte volume method, Addson-Wesley, (1996. [18] M. S. Valpour and Y. Sabooh: Heat and Mass Transfer, 43(27,

Mathematical Modeling of a Non-Catalytic Gas-Solid Reaction: Hematite Pellet Reduction with Syngas

Mathematical Modeling of a Non-Catalytic Gas-Solid Reaction: Hematite Pellet Reduction with Syngas Transactons C: Chemstry and Chemcal Engneerng Vol. 6, No. 2, pp. 08{24 c Sharf Unversty of Technology, December 2009 Mathematcal Modelng of a Non-Catalytc Gas-Sold Reacton: Hematte Pellet Reducton wth

More information

( ) 1/ 2. ( P SO2 )( P O2 ) 1/ 2.

( ) 1/ 2. ( P SO2 )( P O2 ) 1/ 2. Chemstry 360 Dr. Jean M. Standard Problem Set 9 Solutons. The followng chemcal reacton converts sulfur doxde to sulfur troxde. SO ( g) + O ( g) SO 3 ( l). (a.) Wrte the expresson for K eq for ths reacton.

More information

modeling of equilibrium and dynamic multi-component adsorption in a two-layered fixed bed for purification of hydrogen from methane reforming products

modeling 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 information

STUDY ON TWO PHASE FLOW IN MICRO CHANNEL BASED ON EXPERI- MENTS AND NUMERICAL EXAMINATIONS

STUDY 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 information

(Online First)A Lattice Boltzmann Scheme for Diffusion Equation in Spherical Coordinate

(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 information

Global Sensitivity. Tuesday 20 th February, 2018

Global 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 information

Open Systems: Chemical Potential and Partial Molar Quantities Chemical Potential

Open Systems: Chemical Potential and Partial Molar Quantities Chemical Potential Open Systems: Chemcal Potental and Partal Molar Quanttes Chemcal Potental For closed systems, we have derved the followng relatonshps: du = TdS pdv dh = TdS + Vdp da = SdT pdv dg = VdP SdT For open systems,

More information

NON-CENTRAL 7-POINT FORMULA IN THE METHOD OF LINES FOR PARABOLIC AND BURGERS' EQUATIONS

NON-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 information

Numerical Heat and Mass Transfer

Numerical 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 information

Assignment 4. Adsorption Isotherms

Assignment 4. Adsorption Isotherms Insttute of Process Engneerng Assgnment 4. Adsorpton Isotherms Part A: Compettve adsorpton of methane and ethane In large scale adsorpton processes, more than one compound from a mxture of gases get adsorbed,

More information

Appendix B. The Finite Difference Scheme

Appendix B. The Finite Difference Scheme 140 APPENDIXES Appendx B. The Fnte Dfference Scheme In ths appendx we present numercal technques whch are used to approxmate solutons of system 3.1 3.3. A comprehensve treatment of theoretcal and mplementaton

More information

THE EFFECT OF TORSIONAL RIGIDITY BETWEEN ELEMENTS ON FREE VIBRATIONS OF A TELESCOPIC HYDRAULIC CYLINDER SUBJECTED TO EULER S LOAD

THE EFFECT OF TORSIONAL RIGIDITY BETWEEN ELEMENTS ON FREE VIBRATIONS OF A TELESCOPIC HYDRAULIC CYLINDER SUBJECTED TO EULER S LOAD Journal of Appled Mathematcs and Computatonal Mechancs 7, 6(3), 7- www.amcm.pcz.pl p-issn 99-9965 DOI:.75/jamcm.7.3. e-issn 353-588 THE EFFECT OF TORSIONAL RIGIDITY BETWEEN ELEMENTS ON FREE VIBRATIONS

More information

Adiabatic Sorption of Ammonia-Water System and Depicting in p-t-x Diagram

Adiabatic Sorption of Ammonia-Water System and Depicting in p-t-x Diagram Adabatc Sorpton of Ammona-Water System and Depctng n p-t-x Dagram J. POSPISIL, Z. SKALA Faculty of Mechancal Engneerng Brno Unversty of Technology Techncka 2, Brno 61669 CZECH REPUBLIC Abstract: - Absorpton

More information

Be true to your work, your word, and your friend.

Be true to your work, your word, and your friend. Chemstry 13 NT Be true to your work, your word, and your frend. Henry Davd Thoreau 1 Chem 13 NT Chemcal Equlbrum Module Usng the Equlbrum Constant Interpretng the Equlbrum Constant Predctng the Drecton

More information

Numerical Transient Heat Conduction Experiment

Numerical 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

Calculating the Quasi-static Pressures of Confined Explosions Considering Chemical Reactions under the Constant Entropy Assumption

Calculating the Quasi-static Pressures of Confined Explosions Considering Chemical Reactions under the Constant Entropy Assumption Appled Mechancs and Materals Onlne: 202-04-20 ISS: 662-7482, ol. 64, pp 396-400 do:0.4028/www.scentfc.net/amm.64.396 202 Trans Tech Publcatons, Swtzerland Calculatng the Quas-statc Pressures of Confned

More information

between standard Gibbs free energies of formation for products and reactants, ΔG! R = ν i ΔG f,i, we

between standard Gibbs free energies of formation for products and reactants, ΔG! R = ν i ΔG f,i, we hermodynamcs, Statstcal hermodynamcs, and Knetcs 4 th Edton,. Engel & P. ed Ch. 6 Part Answers to Selected Problems Q6.. Q6.4. If ξ =0. mole at equlbrum, the reacton s not ery far along. hus, there would

More information

Combustion and Flame

Combustion and Flame Combuston and Flame 159 (2012) 1693 1707 Contents lsts avalable at ScVerse ScenceDrect Combuston and Flame journal homepage: www.elsever.com/locate/combustflame Multphyscs modelng of carbon gasfcaton processes

More information

Module 3 LOSSY IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur

Module 3 LOSSY IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur Module 3 LOSSY IMAGE COMPRESSION SYSTEMS Verson ECE IIT, Kharagpur Lesson 6 Theory of Quantzaton Verson ECE IIT, Kharagpur Instructonal Objectves At the end of ths lesson, the students should be able to:

More information

COMPOSITE BEAM WITH WEAK SHEAR CONNECTION SUBJECTED TO THERMAL LOAD

COMPOSITE 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 information

1) Silicon oxide has a typical surface potential in an aqueous medium of ϕ,0

1) Silicon oxide has a typical surface potential in an aqueous medium of ϕ,0 1) Slcon oxde has a typcal surface potental n an aqueous medum of ϕ, = 7 mv n 5 mm l at ph 9. Whch concentraton of catons do you roughly expect close to the surface? What s the average dstance between

More information

A Hybrid Variational Iteration Method for Blasius Equation

A 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 information

NAME and Section No. it is found that 0.6 mol of O

NAME and Section No. it is found that 0.6 mol of O NAME and Secton No. Chemstry 391 Fall 7 Exam III KEY 1. (3 Ponts) ***Do 5 out of 6***(If 6 are done only the frst 5 wll be graded)*** a). In the reacton 3O O3 t s found that.6 mol of O are consumed. Fnd

More information

Mass Transfer Processes

Mass Transfer Processes Mass Transfer Processes S. Majd Hassanzadeh Department of Earth Scences Faculty of Geoscences Utrecht Unversty Outlne: 1. Measures of Concentraton 2. Volatlzaton and Dssoluton 3. Adsorpton Processes 4.

More information

Design Equations. ν ij r i V R. ν ij r i. Q n components. = Q f c jf Qc j + Continuous Stirred Tank Reactor (steady-state and constant phase)

Design Equations. ν ij r i V R. ν ij r i. Q n components. = Q f c jf Qc j + Continuous Stirred Tank Reactor (steady-state and constant phase) Desgn Equatons Batch Reactor d(v R c j ) dt = ν j r V R n dt dt = UA(T a T) r H R V R ncomponents V R c j C pj j Plug Flow Reactor d(qc j ) dv = ν j r 2 dt dv = R U(T a T) n r H R Q n components j c j

More information

in a horizontal wellbore in a heavy oil reservoir

in a horizontal wellbore in a heavy oil reservoir 498 n a horzontal wellbore n a heavy ol reservor L Mngzhong, Wang Ypng and Wang Weyang Abstract: A novel model for dynamc temperature dstrbuton n heavy ol reservors s derved from and axal dfference equatons

More information

CHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE

CHAPTER 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 information

Diffusion Mass Transfer

Diffusion Mass Transfer Dffuson Mass Transfer General onsderatons Mass transfer refers to mass n transt due to a speces concentraton gradent n a mture. Must have a mture of two or more speces for mass transfer to occur. The speces

More information

Finite Element Modelling of truss/cable structures

Finite Element Modelling of truss/cable structures Pet Schreurs Endhoven Unversty of echnology Department of Mechancal Engneerng Materals echnology November 3, 214 Fnte Element Modellng of truss/cable structures 1 Fnte Element Analyss of prestressed structures

More information

Electrical double layer: revisit based on boundary conditions

Electrical double layer: revisit based on boundary conditions Electrcal double layer: revst based on boundary condtons Jong U. Km Department of Electrcal and Computer Engneerng, Texas A&M Unversty College Staton, TX 77843-318, USA Abstract The electrcal double layer

More information

3. Be able to derive the chemical equilibrium constants from statistical mechanics.

3. Be able to derive the chemical equilibrium constants from statistical mechanics. Lecture #17 1 Lecture 17 Objectves: 1. Notaton of chemcal reactons 2. General equlbrum 3. Be able to derve the chemcal equlbrum constants from statstcal mechancs. 4. Identfy how nondeal behavor can be

More information

COMPARISON OF SOME RELIABILITY CHARACTERISTICS BETWEEN REDUNDANT SYSTEMS REQUIRING SUPPORTING UNITS FOR THEIR OPERATIONS

COMPARISON 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 information

The Analysis of Convection Experiment

The 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 information

Lecture 5. Stoichiometry Dimensionless Parameters. Moshe Matalon N X. 00 i. i M i. i=1. i=1

Lecture 5. Stoichiometry Dimensionless Parameters. Moshe Matalon N X. 00 i. i M i. i=1. i=1 Summer 23 Lecture 5 Stochometry Dmensonless Parameters Stochometry Gven the reacton M dn or n terms of the partal masses dm ( )W N X dn j j M we have seen that there s a relaton between the change n the

More information

Determination of Structure and Formation Conditions of Gas Hydrate by Using TPD Method and Flash Calculations

Determination of Structure and Formation Conditions of Gas Hydrate by Using TPD Method and Flash Calculations nd atonal Iranan Conference on Gas Hydrate (ICGH) Semnan Unersty Determnaton of Structure and Formaton Condtons of Gas Hydrate by Usng TPD Method and Flash Calculatons H. Behat Rad, F. Varamnan* Department

More information

Three-Phase Distillation in Packed Towers: Short-Cut Modelling and Parameter Tuning

Three-Phase Distillation in Packed Towers: Short-Cut Modelling and Parameter Tuning European Symposum on Computer Arded Aded Process Engneerng 15 L. Pugjaner and A. Espuña (Edtors) 2005 Elsever Scence B.V. All rghts reserved. Three-Phase Dstllaton n Packed Towers: Short-Cut Modellng and

More information

A New Steps Sequence Table to Improve the Performance of the Jam Petrochemical H 2 -PSA Industrial Plant

A New Steps Sequence Table to Improve the Performance of the Jam Petrochemical H 2 -PSA Industrial Plant The 14 th Natnal Chemcal Engneerng Congress (IChEC 01) Sharf Unversty of Technology, Tehran, Iran, 16-18 October, 01 A New Steps Sequence Table to Improve the Performance of the Jam Petrochemcal H -PSA

More information

A PROCEDURE FOR SIMULATING THE NONLINEAR CONDUCTION HEAT TRANSFER IN A BODY WITH TEMPERATURE DEPENDENT THERMAL CONDUCTIVITY.

A 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 information

Gasometric Determination of NaHCO 3 in a Mixture

Gasometric Determination of NaHCO 3 in a Mixture 60 50 40 0 0 5 15 25 35 40 Temperature ( o C) 9/28/16 Gasometrc Determnaton of NaHCO 3 n a Mxture apor Pressure (mm Hg) apor Pressure of Water 1 NaHCO 3 (s) + H + (aq) Na + (aq) + H 2 O (l) + CO 2 (g)

More information

Introduction to Vapor/Liquid Equilibrium, part 2. Raoult s Law:

Introduction 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 information

A Numerical Study of Heat Transfer and Fluid Flow past Single Tube

A 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 information

Chapter 5. Solution of System of Linear Equations. Module No. 6. Solution of Inconsistent and Ill Conditioned Systems

Chapter 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 information

ME 300 Exam 2 November 18, :30 p.m. to 7:30 p.m.

ME 300 Exam 2 November 18, :30 p.m. to 7:30 p.m. CICLE YOU LECTUE BELOW: Frst Name Last Name 1:3 a.m. 1:3 p.m. Nak Gore ME 3 Exam November 18, 14 6:3 p.m. to 7:3 p.m. INSTUCTIONS 1. Ths s a closed book and closed notes examnaton. You are provded wth

More information

Numerical modelization by finite differences of a thermoelectric refrigeration device of double jump". Experimental validation.

Numerical modelization by finite differences of a thermoelectric refrigeration device of double jump. Experimental validation. Numercal modelzaton by fnte dfferences of a thermoelectrc refrgeraton devce of double jump". Expermental valdaton. A. Rodríguez, J.G. Ván, D. Astran, Dpto. Ingenería Mecánca, Energétca y de Materales.

More information

Constitutive Modelling of Superplastic AA-5083

Constitutive Modelling of Superplastic AA-5083 TECHNISCHE MECHANIK, 3, -5, (01, 1-6 submtted: September 19, 011 Consttutve Modellng of Superplastc AA-5083 G. Gulano In ths study a fast procedure for determnng the constants of superplastc 5083 Al alloy

More information

Ph.D. Qualifying Examination in Kinetics and Reactor Design

Ph.D. Qualifying Examination in Kinetics and Reactor Design Knetcs and Reactor Desgn Ph.D.Qualfyng Examnaton January 2006 Instructons Ph.D. Qualfyng Examnaton n Knetcs and Reactor Desgn January 2006 Unversty of Texas at Austn Department of Chemcal Engneerng 1.

More information

ESA modelling and cycle design

ESA modelling and cycle design ESA modellng and cycle desgn WP and WP 5 Unversty of Belgrade MATESA Dssemnaton day, Oslo 16.6.016 Motvaton Develop rgorous 3D models (CFD) to understand the processes, examne the nfluence of condtons

More information

A quote of the week (or camel of the week): There is no expedience to which a man will not go to avoid the labor of thinking. Thomas A.

A quote of the week (or camel of the week): There is no expedience to which a man will not go to avoid the labor of thinking. Thomas A. A quote of the week (or camel of the week): here s no expedence to whch a man wll not go to avod the labor of thnkng. homas A. Edson Hess law. Algorthm S Select a reacton, possbly contanng specfc compounds

More information

Thermodynamics General

Thermodynamics General Thermodynamcs General Lecture 1 Lecture 1 s devoted to establshng buldng blocks for dscussng thermodynamcs. In addton, the equaton of state wll be establshed. I. Buldng blocks for thermodynamcs A. Dmensons,

More information

The Two-scale Finite Element Errors Analysis for One Class of Thermoelastic Problem in Periodic Composites

The 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 information

Chapter - 2. Distribution System Power Flow Analysis

Chapter - 2. Distribution System Power Flow Analysis Chapter - 2 Dstrbuton System Power Flow Analyss CHAPTER - 2 Radal Dstrbuton System Load Flow 2.1 Introducton Load flow s an mportant tool [66] for analyzng electrcal power system network performance. Load

More information

MATH 5630: Discrete Time-Space Model Hung Phan, UMass Lowell March 1, 2018

MATH 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 information

CinChE Problem-Solving Strategy Chapter 4 Development of a Mathematical Model. formulation. procedure

CinChE 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 information

A novel mathematical model of formulation design of emulsion explosive

A novel mathematical model of formulation design of emulsion explosive J. Iran. Chem. Res. 1 (008) 33-40 Journal of the Iranan Chemcal Research IAU-ARAK www.au-jcr.com A novel mathematcal model of formulaton desgn of emulson explosve Mng Lu *, Qfa Lu Chemcal Engneerng College,

More information

Conduction Shape Factor Models for Three-Dimensional Enclosures

Conduction 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 information

A Robust Method for Calculating the Correlation Coefficient

A Robust Method for Calculating the Correlation Coefficient A Robust Method for Calculatng the Correlaton Coeffcent E.B. Nven and C. V. Deutsch Relatonshps between prmary and secondary data are frequently quantfed usng the correlaton coeffcent; however, the tradtonal

More information

10.34 Numerical Methods Applied to Chemical Engineering Fall Homework #3: Systems of Nonlinear Equations and Optimization

10.34 Numerical Methods Applied to Chemical Engineering Fall Homework #3: Systems of Nonlinear Equations and Optimization 10.34 Numercal Methods Appled to Chemcal Engneerng Fall 2015 Homework #3: Systems of Nonlnear Equatons and Optmzaton Problem 1 (30 ponts). A (homogeneous) azeotrope s a composton of a multcomponent mxture

More information

CFD Simulation of Dense Gas Extraction through Polymeric Membranes

CFD Simulation of Dense Gas Extraction through Polymeric Membranes Vol:4, No:1, 010 CF Smulaton of ense Gas Extracton through Polymerc Membranes Azam Marjan*, Saeed Shrazan Internatonal Scence Index, Chemcal and Molecular Engneerng Vol:4, No:1, 010 waset.org/publcaton/430

More information

Process Modeling. Improving or understanding chemical process operation is a major objective for developing a dynamic process model

Process Modeling. Improving or understanding chemical process operation is a major objective for developing a dynamic process model Process Modelng Improvng or understandng chemcal process operaton s a major objectve for developng a dynamc process model Balance equatons Steady-state balance equatons mass or energy mass or energy enterng

More information

FORCED CONVECTION HEAT TRANSFER FROM A RECTANGULAR CYLINDER: EFFECT OF ASPECT RATIO

FORCED 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 information

CHEMICAL REACTIONS AND DIFFUSION

CHEMICAL REACTIONS AND DIFFUSION CHEMICAL REACTIONS AND DIFFUSION A.K.A. NETWORK THERMODYNAMICS BACKGROUND Classcal thermodynamcs descrbes equlbrum states. Non-equlbrum thermodynamcs descrbes steady states. Network thermodynamcs descrbes

More information

4DVAR, according to the name, is a four-dimensional variational method.

4DVAR, according to the name, is a four-dimensional variational method. 4D-Varatonal Data Assmlaton (4D-Var) 4DVAR, accordng to the name, s a four-dmensonal varatonal method. 4D-Var s actually a drect generalzaton of 3D-Var to handle observatons that are dstrbuted n tme. The

More information

Thermal-Fluids I. Chapter 18 Transient heat conduction. Dr. Primal Fernando Ph: (850)

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 information

Chemical Equilibrium. Chapter 6 Spontaneity of Reactive Mixtures (gases) Taking into account there are many types of work that a sysem can perform

Chemical Equilibrium. Chapter 6 Spontaneity of Reactive Mixtures (gases) Taking into account there are many types of work that a sysem can perform Ths chapter deals wth chemcal reactons (system) wth lttle or no consderaton on the surroundngs. Chemcal Equlbrum Chapter 6 Spontanety of eactve Mxtures (gases) eactants generatng products would proceed

More information

I wish to publish my paper on The International Journal of Thermophysics. A Practical Method to Calculate Partial Properties from Equation of State

I wish to publish my paper on The International Journal of Thermophysics. A Practical Method to Calculate Partial Properties from Equation of State I wsh to publsh my paper on The Internatonal Journal of Thermophyscs. Ttle: A Practcal Method to Calculate Partal Propertes from Equaton of State Authors: Ryo Akasaka (correspondng author) 1 and Takehro

More information

1-Dimensional Advection-Diffusion Finite Difference Model Due to a Flow under Propagating Solitary Wave

1-Dimensional Advection-Diffusion Finite Difference Model Due to a Flow under Propagating Solitary Wave 014 4th Internatonal Conference on Future nvronment and nergy IPCB vol.61 (014) (014) IACSIT Press, Sngapore I: 10.776/IPCB. 014. V61. 6 1-mensonal Advecton-ffuson Fnte fference Model ue to a Flow under

More information

Lecture Note 3. Eshelby s Inclusion II

Lecture 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 information

Total solidification time of a liquid phase change material enclosed in cylindrical/spherical containers

Total 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 information

ChE 512: Topic 1 Reactions at a fluid non-porous solid interface. P.A. Ramachandran

ChE 512: Topic 1 Reactions at a fluid non-porous solid interface. P.A. Ramachandran he 512: Topc 1 Reactons at a flud non-porous sold nterface P.. Ramachandran rama@wustl.edu OUTLIE External Transport: Flm oncept Mass transfer coeffcents Effect of transport on reacton multaneous heat

More information

CHEMICAL ENGINEERING

CHEMICAL 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 information

A large scale tsunami run-up simulation and numerical evaluation of fluid force during tsunami by using a particle method

A large scale tsunami run-up simulation and numerical evaluation of fluid force during tsunami by using a particle method A large scale tsunam run-up smulaton and numercal evaluaton of flud force durng tsunam by usng a partcle method *Mtsuteru Asa 1), Shoch Tanabe 2) and Masaharu Isshk 3) 1), 2) Department of Cvl Engneerng,

More information

Lecture 8 Modal Analysis

Lecture 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 information

Estimation of the composition of the liquid and vapor streams exiting a flash unit with a supercritical component

Estimation of the composition of the liquid and vapor streams exiting a flash unit with a supercritical component Department of Energ oltecnco d Mlano Va Lambruschn - 05 MILANO Eercses of Fundamentals of Chemcal rocesses rof. Ganpero Gropp Eercse 8 Estmaton of the composton of the lqud and vapor streams etng a unt

More information

EVALUATION OF THE VISCO-ELASTIC PROPERTIES IN ASPHALT RUBBER AND CONVENTIONAL MIXES

EVALUATION 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 information

An identification algorithm of model kinetic parameters of the interfacial layer growth in fiber composites

An identification algorithm of model kinetic parameters of the interfacial layer growth in fiber composites IOP Conference Seres: Materals Scence and Engneerng PAPER OPE ACCESS An dentfcaton algorthm of model knetc parameters of the nterfacal layer growth n fber compostes o cte ths artcle: V Zubov et al 216

More information

Supplementary Notes for Chapter 9 Mixture Thermodynamics

Supplementary 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 information

STATIC ANALYSIS OF TWO-LAYERED PIEZOELECTRIC BEAMS WITH IMPERFECT SHEAR CONNECTION

STATIC ANALYSIS OF TWO-LAYERED PIEZOELECTRIC BEAMS WITH IMPERFECT SHEAR CONNECTION STATIC ANALYSIS OF TWO-LERED PIEZOELECTRIC BEAMS WITH IMPERFECT SHEAR CONNECTION Ákos József Lengyel István Ecsed Assstant Lecturer Emertus Professor Insttute of Appled Mechancs Unversty of Mskolc Mskolc-Egyetemváros

More information

Application of Finite Element Method (FEM) Instruction to Graduate Courses in Biological and Agricultural Engineering

Application of Finite Element Method (FEM) Instruction to Graduate Courses in Biological and Agricultural Engineering Sesson: 08 Applcaton of Fnte Element Method (FEM) Instructon to Graduate Courses n Bologcal and Agrcultural Engneerng Chang S. Km, Terry H. Walker, Caye M. Drapcho Dept. of Bologcal and Agrcultural Engneerng

More information

DETERMINATION OF TEMPERATURE DISTRIBUTION FOR ANNULAR FINS WITH TEMPERATURE DEPENDENT THERMAL CONDUCTIVITY BY HPM

DETERMINATION 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 information

and Statistical Mechanics Material Properties

and Statistical Mechanics Material Properties Statstcal Mechancs and Materal Propertes By Kuno TAKAHASHI Tokyo Insttute of Technology, Tokyo 15-855, JAPA Phone/Fax +81-3-5734-3915 takahak@de.ttech.ac.jp http://www.de.ttech.ac.jp/~kt-lab/ Only for

More information

ONE DIMENSIONAL TRIANGULAR FIN EXPERIMENT. Technical Advisor: Dr. D.C. Look, Jr. Version: 11/03/00

ONE 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 information

2 Finite difference basics

2 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 information

Susceptibility and Inverted Hysteresis Loop of Prussian Blue Analogs with Orthorhombic Structure

Susceptibility and Inverted Hysteresis Loop of Prussian Blue Analogs with Orthorhombic Structure Commun. Theor. Phys. 58 (202) 772 776 Vol. 58, No. 5, November 5, 202 Susceptblty and Inverted Hysteress Loop of Prussan Blue Analogs wth Orthorhombc Structure GUO An-Bang (ÁËǑ) and JIANG We ( å) School

More information

NAME and Section No.

NAME and Section No. Chemstry 391 Fall 2007 Exam I KEY (Monday September 17) 1. (25 Ponts) ***Do 5 out of 6***(If 6 are done only the frst 5 wll be graded)*** a). Defne the terms: open system, closed system and solated system

More information

Research & Reviews: Journal of Engineering and Technology

Research & 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 information

SIMULATION OF WAVE PROPAGATION IN AN HETEROGENEOUS ELASTIC ROD

SIMULATION OF WAVE PROPAGATION IN AN HETEROGENEOUS ELASTIC ROD SIMUATION OF WAVE POPAGATION IN AN HETEOGENEOUS EASTIC OD ogéro M Saldanha da Gama Unversdade do Estado do o de Janero ua Sào Francsco Xaver 54, sala 5 A 559-9, o de Janero, Brasl e-mal: rsgama@domancombr

More information

Influence Of Operating Conditions To The Effectiveness Of Extractive Distillation Columns

Influence Of Operating Conditions To The Effectiveness Of Extractive Distillation Columns Influence Of Operatng Condtons To The Effectveness Of Extractve Dstllaton Columns N.A. Vyazmna Moscov State Unversty Of Envrnmental Engneerng, Department Of Chemcal Engneerng Ul. Staraya Basmannaya 21/4,

More information

The Tangential Force Distribution on Inner Cylinder of Power Law Fluid Flowing in Eccentric Annuli with the Inner Cylinder Reciprocating Axially

The 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 information

Application of B-Spline to Numerical Solution of a System of Singularly Perturbed Problems

Application of B-Spline to Numerical Solution of a System of Singularly Perturbed Problems Mathematca Aeterna, Vol. 1, 011, no. 06, 405 415 Applcaton of B-Splne to Numercal Soluton of a System of Sngularly Perturbed Problems Yogesh Gupta Department of Mathematcs Unted College of Engneerng &

More information

Problem Set 9 Solutions

Problem 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 information

GeoSteamNet: 2. STEAM FLOW SIMULATION IN A PIPELINE

GeoSteamNet: 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 information

Principles of Food and Bioprocess Engineering (FS 231) Solutions to Example Problems on Heat Transfer

Principles 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 information

If two volatile and miscible liquids are combined to form a solution, Raoult s law is not obeyed. Use the experimental data in Table 9.

If two volatile and miscible liquids are combined to form a solution, Raoult s law is not obeyed. Use the experimental data in Table 9. 9.9 Real Solutons Exhbt Devatons from Raoult s Law If two volatle and mscble lquds are combned to form a soluton, Raoult s law s not obeyed. Use the expermental data n Table 9.3: Physcal Chemstry 00 Pearson

More information

Simulation of 2D Elastic Bodies with Randomly Distributed Circular Inclusions Using the BEM

Simulation of 2D Elastic Bodies with Randomly Distributed Circular Inclusions Using the BEM Smulaton of 2D Elastc Bodes wth Randomly Dstrbuted Crcular Inclusons Usng the BEM Zhenhan Yao, Fanzhong Kong 2, Xaopng Zheng Department of Engneerng Mechancs 2 State Key Lab of Automotve Safety and Energy

More information

Numerical Simulation of ph-sensitive Hydrogel Response in Different Conditions

Numerical Simulation of ph-sensitive Hydrogel Response in Different Conditions Numercal Smulaton of ph-senstve Hydrogel Response n Dfferent Condtons Bran O. Asmba, Andrew K. Shgol, Kamlesh J. Suthar *, Muraldhar K. Ghantasala, and Derrck. C. Mancn * Department of Mechancal and Aeronautcal

More information

The Study of Teaching-learning-based Optimization Algorithm

The Study of Teaching-learning-based Optimization Algorithm Advanced Scence and Technology Letters Vol. (AST 06), pp.05- http://dx.do.org/0.57/astl.06. The Study of Teachng-learnng-based Optmzaton Algorthm u Sun, Yan fu, Lele Kong, Haolang Q,, Helongang Insttute

More information

Grand canonical Monte Carlo simulations of bulk electrolytes and calcium channels

Grand canonical Monte Carlo simulations of bulk electrolytes and calcium channels Grand canoncal Monte Carlo smulatons of bulk electrolytes and calcum channels Thess of Ph.D. dssertaton Prepared by: Attla Malascs M.Sc. n Chemstry Supervsor: Dr. Dezső Boda Unversty of Pannona Insttute

More information

Optimization of the thermodynamic model of a solar driven Aqua - ammonia absorption refrigeration system

Optimization of the thermodynamic model of a solar driven Aqua - ammonia absorption refrigeration system nd WSEAS/IASME Internatonal Conference on RENEWABLE ENERGY SOURCES (RES') Corfu, Greece, October -, Optmzaton of the thermodynamc model of a solar drven Aqua - ammona absorpton refrgeraton system J. ABDULATEEF,

More information

NUMERICAL DIFFERENTIATION

NUMERICAL DIFFERENTIATION NUMERICAL DIFFERENTIATION 1 Introducton Dfferentaton s a method to compute the rate at whch a dependent output y changes wth respect to the change n the ndependent nput x. Ths rate of change s called the

More information

Consideration of 2D Unsteady Boundary Layer Over Oscillating Flat Plate

Consideration of 2D Unsteady Boundary Layer Over Oscillating Flat Plate Proceedngs of the th WSEAS Internatonal Conference on Flud Mechancs and Aerodynamcs, Elounda, Greece, August -, (pp-) Consderaton of D Unsteady Boundary Layer Over Oscllatng Flat Plate N.M. NOURI, H.R.

More information