A review on performance optimization of counter flow double pipe heat exchanger using statistical and response surface analysis
Keywords:
Counter-flow double pipe heat exchanger; Performance optimization; Response Surface Methodology (RSM); Statistical analysis; ANOVA; Heat transfer effectiveness; Thermal performanceAbstract
Counter-flow double pipe heat exchangers are extensively used in industrial thermal systems due to their simple design, ease of operation, and high heat transfer efficiency. In recent years, performance optimization of these heat exchangers has gained significant attention with the application of statistical techniques and Response Surface Methodology (RSM). This review presents a comprehensive analysis of published studies focused on the optimization of counter-flow double pipe heat exchangers using statistical tools such as Design of Experiments (DoE), Analysis of Variance (ANOVA), regression modeling, and RSM. The review highlights the influence of key operating and design parameters—including hot and cold fluid mass flow rates, inlet temperatures, heat transfer area, and flow arrangement—on outlet temperatures, effectiveness, and overall thermal performance. The effectiveness of RSM in developing predictive models, identifying significant factors, and determining optimal operating conditions with minimal experimental effort is critically discussed.References
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