Comprehensive optimization of centrifugal pump performance through the integration of the Taguchi method and polynomial regression models

Ebikabowei, Enemugha Emmanuel and Karim, Mohd Sayuti Ab and Ghazali, Nik Nazri Nik (2025) Comprehensive optimization of centrifugal pump performance through the integration of the Taguchi method and polynomial regression models. Global Journal of Engineering and Technology Advances, 22 (2). 015-026. ISSN 2582-5003

This study aims to optimize the performance of centrifugal pumps by integrating the Taguchi Method with polynomial regression models, and the objective is to enhance pump efficiency and reduce energy consumption by optimizing multiple design parameters concurrently; the methodology uses Design Expert 360 software and ANSYS 2024R1 to conduct experiments based on the Taguchi Method and Simulation, focusing on five factors: number of blades, impeller blade angle, flow rate, Head, and rotational speed. Computational Fluid Dynamics (CFD) simulations validated the optimization results. The optimal combination of parameters rotational speed of 1500 rpm, Head of 20 m, impeller blade angle of 36°, number of blades 6, and flow rate of 400 m³/h achieved a maximum pump efficiency of 86.2%. The regression models developed for predicting total efficiency, Head, and shaft power showed high predictive accuracy, with R² values of 0.9469 for total efficiency and shaft power 0.9986 and 0.9812 for Head. CFD simulations confirmed the consistency of the optimization process with an efficiency of 84.1% and a difference of 2.1%, showing a high correlation with the optimized value. This study extends existing knowledge by employing polynomial regression models to predict pump efficiency and the Head and shaft power, providing a robust background for future design improvements in centrifugal pump performance. The findings offer valuable insights for enhancing the efficiency and performance of centrifugal pumps in various industrial applications.