화학공학소재연구정보센터
검색결과 : 1,277건
No. Article
1 Experimental hydrothermal characteristics of minichannel heat sink using various types of hybrid nanofluids
Kumar V, Sarkar J
Advanced Powder Technology, 31(2), 621, 2020
2 Effect of an inclined partition with constant thermal conductivity on natural convection and entropy generation of a nanofluid under magnetic field inside an inclined enclosure: Applicable for electronic cooling
Li YC, Firouzi M, Karimipour A, Afrand M
Advanced Powder Technology, 31(2), 645, 2020
3 Numerical investigation on the effect of four constant temperature pipes on natural cooling of electronic heat sink by nanofluids: A multifunctional optimization
Alsarraf J, Shahsavar A, Khaki M, Ranjbarzadeh R, Karimipour A, Afrand M
Advanced Powder Technology, 31(1), 416, 2020
4 Enhanced specific heat and thermal conductivity of ternary carbonate nanofluids with carbon nanotubes for solar power applications
Sang LX, Ai WM, Wu YT, Ma CF
International Journal of Energy Research, 44(1), 334, 2020
5 Comparative analysis of direct-absorption parabolic-trough solar collectors considering concentric nanofluid segmentation
Qin CY, Kim JB, Lee J, Lee BJ
International Journal of Energy Research, 44(5), 4015, 2020
6 Self-assembled micro-stripe patterning of sessile polymeric nanofluid droplets
Gultekinoglu M, Jiang XY, Bayram C, Wu H, Ulubayram K, Edirisinghe M
Journal of Colloid and Interface Science, 561, 470, 2020
7 The impact of sonication and stirring durations on the thermal conductivity of alumina-liquid paraffin nanofluid: An experimental assessment
Chen ZX, Shahsavar A, Al-Rashed AAAA, Afrand M
Powder Technology, 360, 1134, 2020
8 Parametric analysis of the solidification of nanofluids in spherical cavities
de Souza JFVG, Henriquez JR, de Lira JC, de Brito JP
Powder Technology, 359, 47, 2020
9 A novel comparative experimental study on rheological behavior of mono & hybrid nanofluids concerned graphene and silica nano-powders: Characterization, stability and viscosity measurements
Kazemi I, Sefid M, Afrand M
Powder Technology, 366, 216, 2020
10 Using neural network optimized by imperialist competition method and genetic algorithm to predict water productivity of a nanofluid-based solar still equipped with thermoelectric modules
Bahiraei M, Nazari S, Moayedi H, Safarzadeh H
Powder Technology, 366, 571, 2020