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Velocity Slip and Entropy Generation Phenomena in Thermal Transport Through Metallic Porous Channel

  • Mustafa Turkyilmazoglu EMAIL logo
Published/Copyright: March 7, 2020

Abstract

Momentum and thermal transport through open-celled metallic foams filled in a channel of small height is studied in the present technical brief. Fully developed momentum and thermal layers via the Brinkman–Darcy model enable us to obtain closed-form solutions regarding the fluid velocity and temperature distributions of metal and fluid, all depending upon a factor related to the wall slip velocity. A comparative study on the pertinent physical parameters helps us conclude that the wall slip cools the porous channel, enhancing the rate of heat transfer. In addition to this, increasing pore density leads to an effective reduction in the entropy generation number, followed by further reduction with the nonzero slip velocity, except the near-wall regions.

Appendix A Physical parameters and fluid properties

The physical parameters, in line with the experimental and theoretical research papers, such as [2], [3], [5], and [7], satisfy the empirical formulas

dp=254104ω,df=1181021ϵ3π1Expϵ141021dpK=73105(1ϵ)224103dfdp111102dp2,asf=3πdf1Expϵ14102/59100dp2,e=339103,λ=2258e322ϵπ342ee,RA=4λ2e2+πλ(1e)ks+42e2πλ(1e)kf,RB=(e2λ)2(e2λ)e2ks+2e4λ(e2λ)e2kf,RC=22e22πλ2122eks+222eπλ2122ekf,RD=2ee2ks+4e2kf,ke=12(RA+RB+RC+RD),kse=ke|kf=0,kfe=ke|ks=0,d=1Expϵ14102df,Red=ρfumdμf,Pr=μfCpkf,hsf=76102Red4/10Pr37/100kf/d,1Red40,52102Red5/10Pr37/100kf/d,40Red103,26102Red6/10Pr37/100kf/d,103Red2105

The fluid properties are also

ρf=1205103,μf=181107,kf=259104,Cp=1005.

Appendix B Dummy variables

θ1=3Cs61+L2s2+3Cs41+L1+Ls2t2+(1+C)2D26+s2+L6+Ls4(st)(s+t),θ2=3(1+2C)(1+L)s2+C3L2s4+CL2s63+6L3L2s2+C6+s2+L6+Ls4t2,θ3=s2DL2+C1+L2D+s2+L2D+CDCs2t2,θ4=6Cs4t3+D215(1+C)224CLs2+4(1+C)2Ls4(st)t(s+t),θ5=Ds29+C3(8+5C)24Ls2+4(1+C)Ls4(st)t(s+t),θ6=cosh(s)sinh(s)θ4θ56Ls6D+CD+Ct2tanh(t),θ7=θ6+scosh(s)2tθ1(1+C)Ds2θ2+3s4θ3tanh(t),θ8=(1+C)2D29s2+L6+Ls4(st)(s+t),θ9=3Cs4L2s4+(1+L)t2s21+L2t2,θ10=CL2s63(2+3C+2(1+C)L)t2s4C+3L2+CL2t2,θ11=(1+C)Ds2s2C9+6L+t2+32+L+L2t2+θ10,θ12=s23DL2+C1+3L2Ds23L2D+CDCs2t2+θ3cosh(2s),θ13=1+C2D21+C2Ds2+Cs4(st)t(s+t),θ14=t(θ11+θ8+θ9)+tθ1(1+C)Ds2θ2sinh(s)2.

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Received: 2019-12-05
Revised: 2020-01-07
Accepted: 2020-02-24
Published Online: 2020-03-07
Published in Print: 2020-07-26

© 2020 Walter de Gruyter GmbH, Berlin/Boston

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