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A Comprehensive Analysis of Parallel Heat Pipe System with Evolution of its Properties

Author : Nikhlesh Pindoliya, Professor Khemraj Beragi Journa Name: International Journal of Science, Engineering and Technology Country : India Volume: 12 issue: 3 Year: 2024 Views : 490
Abstract:
Genetic Algorithm (GA) based heat exchanger analysis employs evolutionary optimization techniques to enhance the performance and efficiency of heat exchangers. By mimicking natural selection processes, GA iteratively searches for optimal design parameters such as geometry, material properties, and flow configurations. This method efficiently navigates the complex solution space, identifying designs that maximize heat transfer and minimize costs. GA’s flexibility and robustness make it an effective tool for tackling the multifaceted challenges in heat exchanger design, leading to improved thermal performance and economic benefits.

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