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<p>This work seeks to improve Brake Power (BP) and reduce Hydrocarbon (HC) emissions in multi-cylinder engine by optimizing the operating parameters of alcohol–gasoline blends, based on experimental analysis using the Taguchi approach and regression modeling. The study used an ‘L9 Orthogonal array’ to design the experiments, based on three factors—speed, blend percentage, and load. Brake power and hydrocarbon emissions were considered as the responses. The optimum parametric combinations, determined from the SN ratio and mean response analysis, were A2-B1-C1 (16&#xa0;kg load, 5% blend, 2100&#xa0;rpm) for maximum brake power (‘Higher-the-Better’ criterion) and A3-B1-C1 (17&#xa0;kg load, 5% blend, 2100&#xa0;rpm) for minimum hydrocarbon emissions (‘Smaller-the-Better’ criterion). Results from the confirmation experiments showed that the Taguchi technique effectively identified the optimal operating conditions, resulting in improved performance of multi-cylinder engines running on alcohol–gasoline blends. ANOVA (Analysis of Variance) results revealed that both load and blend percentage were the dominant factors influencing brake power and hydrocarbon emissions. Furthermore, using regression analysis, mathematical models for BP and HC emissions have been developed as functions of the given independent parameters. The predicted results of the developed model closely match the actual values, demonstrating the model’s significance.</p>

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Optimizing Control Parameters in Multi-Cylinder Engines with Alcohol-Gasoline Blends: Taguchi Approach

  • 期刊论文

  • 发表日期：

    2026年7月9日

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  • Ravindra Sadashiv Deshpande

摘要

This work seeks to improve Brake Power (BP) and reduce Hydrocarbon (HC) emissions in multi-cylinder engine by optimizing the operating parameters of alcohol–gasoline blends, based on experimental analysis using the Taguchi approach and regression modeling. The study used an ‘L9 Orthogonal array’ to design the experiments, based on three factors—speed, blend percentage, and load. Brake power and hydrocarbon emissions were considered as the responses. The optimum parametric combinations, determined from the SN ratio and mean response analysis, were A2-B1-C1 (16 kg load, 5% blend, 2100 rpm) for maximum brake power (‘Higher-the-Better’ criterion) and A3-B1-C1 (17 kg load, 5% blend, 2100 rpm) for minimum hydrocarbon emissions (‘Smaller-the-Better’ criterion). Results from the confirmation experiments showed that the Taguchi technique effectively identified the optimal operating conditions, resulting in improved performance of multi-cylinder engines running on alcohol–gasoline blends. ANOVA (Analysis of Variance) results revealed that both load and blend percentage were the dominant factors influencing brake power and hydrocarbon emissions. Furthermore, using regression analysis, mathematical models for BP and HC emissions have been developed as functions of the given independent parameters. The predicted results of the developed model closely match the actual values, demonstrating the model’s significance.