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This study optimized shell and tube heat exchangers using an integrated framework, achieving high accuracy in predicting performance metrics like efficiency and thermal resistance. The findings offer practical insights for engineers to enhance heat exchanger design and performance.

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Area of Science:

  • Mechanical Engineering
  • Thermodynamics
  • Process Optimization

Background:

  • Shell and tube heat exchangers are critical components in various industrial processes.
  • Optimizing their performance is essential for energy efficiency and cost reduction.
  • Existing design methods may not fully capture complex interactions between operational parameters.

Purpose of the Study:

  • To develop and apply an integrated optimization framework for shell and tube heat exchangers.
  • To systematically identify key parameters influencing heat exchanger performance.
  • To enhance design strategies for maximizing efficiency, minimizing thermal resistance, and optimizing utility.

Main Methods:

  • A structured Design of Experiments (DOE) with 16 trials was employed to identify critical parameters.
  • Principal Component Analysis (PCA) was used for dimensionality reduction, capturing 87.7% of variance.
  • Response Surface Methodology (RSM) models predicted key outcomes (€, TR, U) with 99% R-squared accuracy, and Genetic Algorithms identified Pareto front solutions.

Main Results:

  • RSM models accurately predicted key performance indicators (efficiency, thermal resistance, utility) with 99% R-squared.
  • Optimization considered factors like mass flow rate and inlet temperature, leading to improved system performance.
  • The integrated approach yielded superior results for shell and tube heat exchangers compared to conventional methods.

Conclusions:

  • The integrated optimization framework provides practical insights for engineers to improve heat exchanger design.
  • The study lays a foundation for innovative advancements in heat exchanger engineering through tangible improvements.
  • This holistic approach significantly contributes to the advancement of heat exchanger design and performance optimization.