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<p>In the present work, Fuzzy Logic combined with Grey Relational Analysis was employed for multi-objective optimization, while Taguchi’s L18 orthogonal array was used to design the experiments for evaluating the performance of a hydrous methanol-fueled HCCI engine. The developed fuzzy model was validated through experimental studies using an air-preheater-assisted controlled auto-ignition method. Results indicate that Brake Thermal Efficiency (BTE) varied between 5 and 26.5% across Preheated Air Temperatures (PHAT) ranging from 110 to 150&#xa0;°C in 10&#xa0;°C increments. The highest BTE was observed at a PHAT of 120&#xa0;°C. Compared to diesel, BTE for hydrous methanol decreased by 12%, 10%, and 13.5% at PHATs of 110&#xa0;°C, 120&#xa0;°C, and 130&#xa0;°C, respectively. However, at 120&#xa0;°C, hydrocarbon emissions peaked at 41.2&#xa0;g/kWh. Grey-Fuzzy analysis identified the optimal operating conditions as a PHAT of 120&#xa0;°C, a Brake Mean Effective Pressure of 3, and an energy fraction of 47%, representing the best combination of input parameters. The application of fuzzy logic proved instrumental in determining optimal experimental conditions, enhancing the efficiency of the optimization process.</p> Graphical abstract <p></p>

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Optimizing hydrous methanol fueled HCCI engine performance through fuzzy logic analysis

  • 期刊论文

  • 发表日期：

    2025年9月2日

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  • A. Manivannan,
  • M. Venkatesan

摘要

In the present work, Fuzzy Logic combined with Grey Relational Analysis was employed for multi-objective optimization, while Taguchi’s L18 orthogonal array was used to design the experiments for evaluating the performance of a hydrous methanol-fueled HCCI engine. The developed fuzzy model was validated through experimental studies using an air-preheater-assisted controlled auto-ignition method. Results indicate that Brake Thermal Efficiency (BTE) varied between 5 and 26.5% across Preheated Air Temperatures (PHAT) ranging from 110 to 150 °C in 10 °C increments. The highest BTE was observed at a PHAT of 120 °C. Compared to diesel, BTE for hydrous methanol decreased by 12%, 10%, and 13.5% at PHATs of 110 °C, 120 °C, and 130 °C, respectively. However, at 120 °C, hydrocarbon emissions peaked at 41.2 g/kWh. Grey-Fuzzy analysis identified the optimal operating conditions as a PHAT of 120 °C, a Brake Mean Effective Pressure of 3, and an energy fraction of 47%, representing the best combination of input parameters. The application of fuzzy logic proved instrumental in determining optimal experimental conditions, enhancing the efficiency of the optimization process.

Graphical abstract