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NAAS Journal
International Journal of Agriculture and Food Science
Peer Reviewed Journal
Vol. 8, Issue 2, Part D (2026)

Performance Evaluation and Statistical Optimization of a Double Pipe Heat Exchanger using Response Surface Methodology

Author(s):

Sachin kumar, Aviral Arora, Pramod Kumar Omre, Anil Kumar, Pankaj Kumar, Susheel Singh Bhandari and Homendra Kumar Sahu

Abstract:

This study evaluates the thermal performance of an innovative double-pipe heat exchanger featuring helical fins and internal baffles. Experiments were conducted to compare counter-flow and parallel-flow configurations using water as the working fluid. Utilizing a Box-Behnken Design under Response Surface Methodology (RSM), the research analyzed the impact of three independent variables inlet hot fluid temperature (70  to 90 ), annulus flow rate (0.167 to 0.50 kg/s), and inner pipe flow rate (0.083 to 0.250 kg/s) on critical performance metrics. The results indicate that the counter-flow arrangement significantly outperforms the parallel-flow setup, demonstrating a 14.57% improvement in the overall heat transfer coefficient and a 17.15% increase in the heat transfer rate. Furthermore, the counter-flow configuration achieved 9.98% higher effectiveness and a 4.56% higher Nusselt number than its parallel counterpart. Statistical optimization identified the peak operational efficiency for the counter-flow process at approximately 74.65%. Numerical analysis confirmed that increasing hot fluid temperature and mass flow rates enhances turbulence, thereby reducing thermal resistance in the boundary layer and maximizing heat exchange.

Pages: 271-282  |  650 Views  270 Downloads


International Journal of Agriculture and Food Science
How to cite this article:
Sachin kumar, Aviral Arora, Pramod Kumar Omre, Anil Kumar, Pankaj Kumar, Susheel Singh Bhandari and Homendra Kumar Sahu. Performance Evaluation and Statistical Optimization of a Double Pipe Heat Exchanger using Response Surface Methodology. Int. J. Agric. Food Sci. 2026;8(2):271-282. DOI: 10.33545/2664844X.2026.v8.i2d.1193