A robust learning based evolutionary approach for thermal-economic optimization of compact heat exchangers

Yousefi, Moslem; Enayatifar, Rasul; Darus, Amer Nordin; Abdullah, Abdul Hanan

doi:10.1016/j.icheatmasstransfer.2012.10.002

Cited by 31 publications

(12 citation statements)

References 38 publications

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“…Table 7 presents the results for minimum TAC achieved by the proposed LAPSO combined with FBRS, GA and PSO. It can be noted that, on the contrary to the reported results for single stage design [22] and as a result of the difficulty of the task, the difference between the performances of these algorithms is more noticeable. PSO and GA cannot achieve a near-optimum solution and their results are not comparable with those LAPSO.…”

Section: Minimum Total Annual Cost Designcontrasting

confidence: 87%

“…Since these crucial factors can only be determined based on experimental results many studies have been devoted to present accurate empirical correlations. The correlations of Manglik and Bergles [21,22] are employed in this study. One of the advantageous of these correlations is that they are applicable to all flow regimes including laminar, transient and turbulence phases without the requirement for determining the flow regime in advance.…”

Section: Thermal Modelingmentioning

confidence: 99%

“…A comprehensive description of LAPSO and learning automata can be seen in Refs. [22] and [25] respectively. Nevertheless, for the sake of comparison, the results of LAPSO are compared with conventional GA and PSO itself.…”

Section: Evolutionary Optimizermentioning

confidence: 99%

“…Learning automata (LA) is a popular and easy-to-implement learning approach and has been used in various engineering applications [22,28,29]. LA is basically a process in which an action from all the available actions is chosen as the optimum one and applied on a desired environment.…”

Section: Evolutionary Optimizermentioning

confidence: 99%

See 3 more Smart Citations

Multi-stage thermal-economical optimization of compact heat exchangers: A new evolutionary-based design approach for real-world problems

Yousefi

Darus

Yousefi

et al. 2015

Applied Thermal Engineering

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Section: Minimum Total Annual Cost Designcontrasting

confidence: 87%

Section: Thermal Modelingmentioning

confidence: 99%

Section: Evolutionary Optimizermentioning

confidence: 99%

Section: Evolutionary Optimizermentioning

confidence: 99%

See 2 more Smart Citations

Multi-stage thermal-economical optimization of compact heat exchangers: A new evolutionary-based design approach for real-world problems

Yousefi

Darus

Yousefi

et al. 2015

Applied Thermal Engineering

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“…The results demonstrated successful application of PSO techniques for the thermodynamic optimization of heat exchangers. Yousefi et al [29] investigated the optimal design of a compact heat exchanger using PSO. Numerical results indicated that the PSO generated the optimum configuration with higher accuracy and a higher success rate.…”

Section: Introductionmentioning

confidence: 99%

Optimal Design of an Air-to-Air Heat Exchanger with Cross-Corrugated Triangular Ducts by Using a Particle Swarm Optimization Algorithm

et al. 2017

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Air-to-air heat exchangers with cross-corrugated triangular ducts are widely used in various industrial fields to recover waste heat. The geometric parameters of the heat exchangers greatly affect the performance and total annual cost of these systems. In this study, the effectiveness-number of transfer units (ε-NTU) method was utilized to develop the thermal mathematical model, which was verified by comparing it with previous research. The configuration parameters of the heat exchanger were optimized in this study. The particle swarm optimization (PSO) algorithm was applied using both single and multi-objective algorithm. The colburn factor (j factor), friction factor (f factor), and comprehensive thermal hydraulic performance index (JF factor) were considered as objective functions to be optimized using a single objective and multi-objective algorithm. Then, the entropy generation rate and total annual cost were optimized by using a multi-objective PSO algorithm. In addition, to identify the influential geometric parameters, a global sensitivity analysis was performed. The sensitivity analysis showed that the apex angle θ, channel height H, and heat exchanger height L h influenced the performance and annual total cost of these systems.

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Modeling and Performance Optimization of Louvered Fin Radiators in Negative Gauge Pressure Condition

Wan

Liu

et al. 2022

Advcd Theory and Sims

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The purpose of this paper is to study the effect of the structural parameters of louvered fin radiators on its thermal‐hydraulic performance, optimize its structural parameters, and improve the performance of louvered fin radiators in negative gauge pressure condition. The thermal calculation model of louvered fin radiator in negative gauge pressure is established. Then, the effects of design variables on thermal‐hydraulic characteristics are investigated. The second generation of nondominated sorting genetic algorithm (NSGA‐II) is applied to optimize the louvered fin heat exchanger in negative gauge pressure environment. Technique for order preference by similarity to an ideal solution is applied to choose the final optimal solution. Numerical simulation of the solution is conducted and the result is compared with literature in order to verify the optimization method. The optimal structural parameters are obtained under constraints. Compared with the original test piece, the heat transfer rate of optimal solution is increased by 7.7%, and total annual cost is reduced by 24.8%. The present paper establishes optimization method of louvered fin radiators in negative gauge pressure condition, the optimization result is superior to the original radiator. The optimization method can be used in the design of radiators operating in negative gauge pressure conditions.

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A robust learning based evolutionary approach for thermal-economic optimization of compact heat exchangers

Cited by 31 publications

References 38 publications

Multi-stage thermal-economical optimization of compact heat exchangers: A new evolutionary-based design approach for real-world problems

Multi-stage thermal-economical optimization of compact heat exchangers: A new evolutionary-based design approach for real-world problems

Optimal Design of an Air-to-Air Heat Exchanger with Cross-Corrugated Triangular Ducts by Using a Particle Swarm Optimization Algorithm

Modeling and Performance Optimization of Louvered Fin Radiators in Negative Gauge Pressure Condition

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