TY - JOUR N2 - Numerical predictions of heat transfer under laminar conditions in a square duct with ribs are presented in this paper. Ribs are provided on top and bottom walls in a square duct in a staggered manner. The flow rates have been varied between Reynolds number 200 and 600. Various configurations of ribs by varying length, width and depth have been investigated for their effect on heat transfer, friction factor and entropy augmentation generation number. Further artificial neural network integrated with genetic algorithm was used to minimize the entropy augmentation generation number (performance factor) by selecting the optimum rib dimensions in a selected range. Genetic algorithm is compared with microgenetic algorithm to examine the reduction in computational time for outlay of solution accuracy. L1 - http://www.journals.pan.pl/Content/116757/PDF/08_paper.pdf L2 - http://www.journals.pan.pl/Content/116757 PY - 2020 IS - No 2 EP - 184 DO - 10.24425/ather.2020.133627 KW - Rib KW - Square duct KW - Entropy augmentation generation number KW - Artificial Neural Networks KW - Micro genetic algorithm A1 - Konchada, Pavan K. A1 - Sukhvinder, Bhatti A1 - Relangi, Siddhartha A1 - Chekuri, Rambhadriraju PB - The Committee of Thermodynamics and Combustion of the Polish Academy of Sciences and The Institute of Fluid-Flow Machinery Polish Academy of Sciences VL - vol. 41 DA - 2020.06.25 T1 - Neuro-genetic optimization of ribbed heat exchanger using entropy augmentation generation number SP - 169 UR - http://www.journals.pan.pl/dlibra/publication/edition/116757 T2 - Archives of Thermodynamics ER -