On the multi-objective optimization of finned air-cooling heat exchanger: Nano-fluid effects

Sajedi, R.; Taheri, M.; Taghilou, Mohammad

doi:10.1016/j.jtice.2016.09.028

Cited by 13 publications

(2 citation statements)

References 29 publications

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“…A more detailed review of the implementation of GA in various heat exchanger applications can be found in literature. [21][22][23][24][25] In the present study, multi-objective optimization approach based on a non-dominated sorting genetic algorithm (NSGA-II) 26 has been implemented. The optimal parameters (Reynolds number and Length to hydraulic diameter ratio) that result in the minimum pressure drop (friction factor) and maximum heat transfer (Nusselt number) under certain constraints (working limits of the design parameters) have been determined.…”

Section: Genetic Algorithmmentioning

confidence: 99%

Thermohydraulic optimization of triple concentric-tube heat exchanger: A multi-objective approach

Amanuel

Mishra

2018

Proceedings of the Institution of Mechanical Engineers, Part E:

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In the present study, optimization of heat transfer and pressure drop characteristics in a triple concentric tube heat exchanger has been done using the results of numerical simulation. A commercial CFD software ANSYS Fluent v17.0 has been employed for simulating the flow and heat transfer, while optimization has been done by Response surface methodology (RSM) and Genetic algorithm (GA). The effective parameters in the study are Reynolds number (2500 ≤ Re ≤ 10,000) and Length to hydraulic diameter ratio (100 ≤ L/Dh ≤ 220). The optimum values, as well as the functional relationship between the design factors (Re and L/Dh) and response variables (Nu and f), have also been developed. It has been found that both the design factors (Re and L/Dh) have a strong influence on the response variables (Nu and f). With the increase in Re (flow rate), a large growth in Nusselt number and decline in friction factor has been observed. However, with the increase in L/Dh, an enormous decrease in both Nusselt number and friction factor has been found.

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Section: Genetic Algorithmmentioning

confidence: 99%

Thermohydraulic optimization of triple concentric-tube heat exchanger: A multi-objective approach

Amanuel

Mishra

2018

Proceedings of the Institution of Mechanical Engineers, Part E:

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“…Therefore, vast investigations have been conducted in the improvement of performance of the car radiator 2,3 . These efforts have different aspects including research on the structure 4 and material of the radiator, investigation of increasing the rate of heat transfer in the cooling fluid of engine that passes through the radiator 5-8 , enhancement of the cooling capacity of the surrounding cool air 9 , proper orientation of radiator by appropriate front-end configuration 10 etc. Research on improving the structure of the radiator also includes various fields, including investigation of application of novel materials to manufacture the radiator, research on shape of tubes and fins and study on geometric optimization of the components of the radiator.…”

Section: Introductionmentioning

confidence: 99%

Comprehensive analytical framework for optimal sizing of louvered fin flat tube car radiators

Hadidi

2022

Proceedings of the Institution of Mechanical Engineers, Part C:

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In the present research, a comprehensive analytical framework is proposed for optimal sizing of louvered fin flat tube car radiators. In order to perform optimal sizing, eleven geometric variables, which are all geometric parameters of the radiator, were selected as the design parameters. These variables include large and small diameters of tubes, length and wall thickness of tubes, fins’ pitch, louvers’ pitch on each fin, length of the fin, louver length and height, fin thickness, number of fins and louver angle on fins. The effects of all of these parameters on the cooling capacity and total weight of the radiator are investigated in the form of single objective optimization problems in which cooling capacity should be maximized and total weight of the radiator should be minimized. Using the proposed framework, the cooling capacity of the radiator has increased by about 8.8% compared to the base design. It is shown that some geometric parameters have the opposite effect on objective functions. Therefore, an analytical multi-objective optimization procedure is proposed to satisfy both of the goals, simultaneously. The values of the geometric parameters determined in this paper are more practical in terms of manufacturing than the values suggested in the base design.

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Optimization method for compact heat exchanger cores with circular channels

Zilio,

Pontin,

Oliveira

et al. 2024

Heat Mass Transfer

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On the multi-objective optimization of finned air-cooling heat exchanger: Nano-fluid effects

Cited by 13 publications

References 29 publications

Thermohydraulic optimization of triple concentric-tube heat exchanger: A multi-objective approach

Thermohydraulic optimization of triple concentric-tube heat exchanger: A multi-objective approach

Comprehensive analytical framework for optimal sizing of louvered fin flat tube car radiators

Optimization method for compact heat exchanger cores with circular channels

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