Comparative Analysis of Response Surface Methodology (RSM) and Taguchi Method: Optimization Hydraulic Ram Pump Performance

Hydraulic ram pumps offer an energy-efficient solution for water lifting, which is crucial in rural areas with limited electricity access. Comparative analysis using the Response Surface Methodology (RSM) and Taguchi method reveals distinct experimental designs and optimization outcomes. RSM entails twenty experiments, yielding optimal points at input height (3 m), input length (12 m), and vacuum tube length (120 cm). In contrast, Taguchi employs nine experiments, with optimal points at input height (3 m), input length (6 m), and vacuum tube length (120 cm). For the equation model, the RSM method shows a complex mathematical equation involving interactions between variables, while the Taguchi method provides a more straightforward equation. As for the most optimal variable, when viewed from the significant value in both methods in the ANOVA table, it is found that the input height variable is the most significant variable in optimizing the response (discharge). A better understanding of these two methods can help the selection of appropriate methods for specific situations, strengthen the knowledge of hydram pump performance, and contribute to developing more efficient and sustainable hydram pump technology.