Parametric optimization of split reaction turbine using Box-Behnken design of response surface methodology

This study provides an exhaustive investigation into the performance optimization of a Cone-Enhanced Split Reaction Turbine (CESRT), specifically focusing on a novel geometric configuration characterized by an increased cylindrical housing height of 10.0 inches. The primary objective is to elucidate the complex, non-linear interdependencies between critical operational variables and the resultant energy conversion efficiency. To achieve this, the research employs Response Surface Methodology (RSM) through a Box-Behnken Design (BBD) framework, facilitating a rigorous statistical evaluation of three independent parameters: applied mechanical torque, bypass valve angle (governing volumetric flow rate), and internal cone modifier size. The resulting empirical data was utilized to formulate a highly significant quadratic predictive model, demonstrating exceptional statistical validity with a coefficient of determination ( R 2 ) of 0.9963 and an adjusted R 2 of 0.9916. Analysis of Variance (ANOVA) unequivocally established that applied torque and bypass angle serve as the predominant drivers of system efficiency, further highlighting a critical synergistic interaction between these two factors. The structural integration of the internal conical flow modifier proved paramount in mitigating internal stagnation and managing fluid trajectories, with the 2.75-inch cone identified as the absolute geometric optimum for the extended 10.0-inch turbine casing. Optimization algorithms derived from the RSM model indicate that peak thermodynamic and mechanical efficiency is realized at an applied torque of 60 N-m, a bypass angle of 22.5°, and a cone size of 2.75 inches, yielding a maximum experimental efficiency of 70.1123%. The findings validate the robustness of the BBD-RSM model in predicting complex turbomachinery behavior and provide highly scalable, data-driven geometric and operational guidelines for the deployment of cost-effective, high-performance pico-hydro technologies in remote and off-grid applications.

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Publication Details

Journal
Proceedings of the Institution of Mechanical Engineers Part A Journal of Power and Energy
Published
2026-09-15
DOI
https://doi.org/10.1177/09576509261487839
Primary Topic
Turbomachinery Performance and Optimization
Type
article
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article

Parametric optimization of split reaction turbine using Box-Behnken design of response surface methodology

Abigail P. Cid-Andres, Jonathan V. Taylar, Manuel M. Muhi, Ethel Grace P. Mohammad et al.
Proceedings of the Institution of Mechanical Engineers Part A Journal of Power and Energy
Turbomachinery Performance and Optimization
article

Parametric optimization of split reaction turbine using Box-Behnken design of response surface methodology

Abigail P. Cid-Andres, Jonathan V. Taylar, Manuel M. Muhi, Ethel Grace P. Mohammad, Alberto E. Lastimado Jr, Ginno L. Andres
article en

Abstract

This study provides an exhaustive investigation into the performance optimization of a Cone-Enhanced Split Reaction Turbine (CESRT), specifically focusing on a novel geometric configuration characterized by an increased cylindrical housing height of 10.0 inches. The primary objective is to elucidate the complex, non-linear interdependencies between critical operational variables and the resultant energy conversion efficiency. To achieve this, the research employs Response Surface Methodology (RSM) through a Box-Behnken Design (BBD) framework, facilitating a rigorous statistical evaluation of three independent parameters: applied mechanical torque, bypass valve angle (governing volumetric flow rate), and internal cone modifier size. The resulting empirical data was utilized to formulate a highly significant quadratic predictive model, demonstrating exceptional statistical validity with a coefficient of determination ( R 2 ) of 0.9963 and an adjusted R 2 of 0.9916. Analysis of Variance (ANOVA) unequivocally established that applied torque and bypass angle serve as the predominant drivers of system efficiency, further highlighting a critical synergistic interaction between these two factors. The structural integration of the internal conical flow modifier proved paramount in mitigating internal stagnation and managing fluid trajectories, with the 2.75-inch cone identified as the absolute geometric optimum for the extended 10.0-inch turbine casing. Optimization algorithms derived from the RSM model indicate that peak thermodynamic and mechanical efficiency is realized at an applied torque of 60 N-m, a bypass angle of 22.5°, and a cone size of 2.75 inches, yielding a maximum experimental efficiency of 70.1123%. The findings validate the robustness of the BBD-RSM model in predicting complex turbomachinery behavior and provide highly scalable, data-driven geometric and operational guidelines for the deployment of cost-effective, high-performance pico-hydro technologies in remote and off-grid applications.

Proceedings of the Institution of Mechanical Engineers Part A Journal of Power and Energy
Polytechnic University of the Philippines (PH), Mindanao State University (PH), Western Mindanao State University (PH), University of the Philippines Open University (PH)
Affordable and clean energy
Openalex Percentile: Top 7%
Turbomachinery Performance and Optimization
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