Optimizing Closed Loop Pulsating Heat Pipes (CL-PHPs) using Taguchi method enhancing thermal performance and operational parameters

Abstract

Closed Loop-Pulsating Heat Pipes (CL-PHPs) are a promising heat transfer technologies known for their efficient and versatile thermal management capabilities. This study presents a comprehensive analysis of CL-PHPs employing Taguchi method. It's a statistical technique to optimization enhance their performance. The research involves the utilizing an 8-turn pulsing heat pipe and a variety of working fluids aqueous mixtures, including Water with acetone, methanol, ethanol and water. An optimal CL-PHP performance was achieved while incorporation of optimization techniques for the selected operational parameters such as thermal resistance, heat supply, angle of orientation, type of fluid and filling ratio. The optimization process aims to improve various operational parameters impact such as the thermal resistance performance of CL-PHPs were examined, including fill ratio, heat input, angle of inclination, working fluid, etc. to attain optimal CL-PHP performance. The performance parameters orthogonal array were studied using ANOVA and analysis of variance. Experiments with changing the input parameters were carried out using the Taguchi L27 orthogonal array. The performance of CL-PHP was mostly effected by heat supply along with inclination angle and fill ratio to some extent. The optimization results indicate that the most important element affecting CL-PHP performance is heat input, which is followed by fill ratio and angle of inclination. This research contributes to the advancement of thermal management technologies and underscores the potential benefits of CL-PHPs in various engineering applications A maximum deviation of with ±8 % divergence from the anticipated values is obtained among the test runs that are considered random.

Keywords

• CL-PHP
• ANOVA heat pipe technology
• Thermal resistance
• Thermal management
• Statistical analysis
• Taguchi method