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June 13, 2026Applications in Engineering ScienceOpen Access

Evolutionary-based Multi-Objective Optimization of Multi-Stream Plate-Fin Heat Exchangers

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Authors

TRThara RJGJagadeesh P GanjigattNBNiyaz Ahamed M B

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Overview

Randomized trial identifies optimal design configurations for plate-fin heat exchangers, indicating improved heat transfer performance.

Key Points

  • The study aims to optimize the performance of plate-fin heat exchangers by balancing friction and heat transfer efficiency.
  • Applied multi-objective evolutionary algorithms MOAGA and MODE for optimization.
  • Conducted an experimental design using Taguchi method to identify key design parameters.
  • Utilized Response Surface Methodology to develop predictive models for performance metrics.
  • MOAGA and MODE successfully found Pareto-optimal solutions enhancing heat transfer while minimizing pressure drop.
  • Key optimization factors included Reynolds number, core length, fin length, and core area.

Cite This Study

R et al. (2026) studied this question.

synapsesocial.com/papers/6a2cf34dfaef96ed7f055d26https://doi.org/10.1016/j.apples.2026.100337
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