Neuro-genetic optimization of ribbed heat exchanger using entropy augmentation generation number

• Autorzy: Konchada Pavan K. , Sukhvinder Bhatti , Relangi Siddhardha , Chekuri Rambhadriraju

Identyfikatory

DOI

10.24425/ather.2020.133627

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

rib; square duct; entropy augmentation generation number; artificial neural network; micro genetic algorithm

• Wydawca: Wydawnictwo Instytutu Maszyn Przepływowych PAN ; Komitet Termodynamiki i Spalania PAN
• Czasopismo: Archives of Thermodynamics
• Rocznik: 2020
• Tom: Vol. 41, no 2
• Strony: 169--184
• Opis fizyczny: Bibliogr. 36 poz., rys., tab., wykr., wz.

Twórcy

autor

Konchada Pavan K.

• Mahatma Gandhi Institute of Technology, Gandipet, Hyderabad, Telangana 500075, India

autor

Sukhvinder Bhatti

• Andhra University, Visakhapatnam 530003, Andhra Pradesh, India

autor

Relangi Siddhardha

• Gayatri Vidya Parishad School of Engineering, Visakhapatnam, Andhra Pradesh, 530048, India

autor

Chekuri Rambhadriraju

• SRKR College of Engineering, Chinnaamiram, 534204 Bhimavaram, India

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