Single and multi-objective optimization of nanofluid flow in flat tube to enhance heat transfer using antlion optimizer algorithms

This optimization problem focuses to determine the five independent design variables to find out the optimal values of heat transfer coefficient ( H ∼ ) and pressure drop ( Δ P ) parameters. It consists of two conflicting optimization problem as discrete objective functions: first to maximize heat t...

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Vydáno v:	International journal of system assurance engineering and management Ročník 12; číslo 6; s. 1026 - 1035
Hlavní autoři:	Dinkar, Shail Kumar, Deep, Kusum
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New Delhi Springer India 01.12.2021 Springer Nature B.V
Témata:	Algorithms Aluminum oxide Computational fluid dynamics Design modifications Design optimization Engineering Engineering Economics Fluid flow Heat transfer Heat transfer coefficients Independent variables Logistics Marketing Multiple objective analysis Nanofluids Optimization Organization Original Article Pareto optimization Pressure drop Quality Control Reliability Response surface methodology Safety and Risk Temperature Pressure drop value Antlion optimizer Heat transfer coefficient Nanofluid Optimization
ISSN:	0975-6809, 0976-4348
On-line přístup:	Získat plný text
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