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<p>This research focuses on optimizing key engine input parameters: specifically, the biodiesel blend ratio, engine load, and compression ratio to enhance noise and vibration characteristics. To achieve this, the Taguchi method and regression analysis were employed for parameter analysis, mathematical modeling, and graphical output generation. Simulink models were developed to assess and compare the performance of Karanja biodiesel with mixed biodiesel. For Karanja biodiesel, the tested parameters included a B15 blend, a 7&#xa0;kg load, and a compression ratio (CR) of 18. In comparison, the mixed biodiesel blend (BKJ20) was evaluated under a 10&#xa0;kg load and a CR of 17. The results demonstrated that the mixed biodiesel outperformed Karanja biodiesel, indicating its greater potential as a sustainable alternative to diesel fuel or any other single biodiesel. To further support this analysis, a MATLAB-based feedback system was developed. This system focuses on engine noise and vibration acceleration as two critical indicators of engine health and longevity. Users can input parameter values to predict noise and acceleration levels. The system dynamically adjusts the biodiesel blend based on predefined upper and lower bounds for acceptable noise and vibration. This ensures the engine operates within optimal limits, reducing wear and improving stability. The feedback system's output graphs confirm that this adaptive approach enables more consistent engine performance, ultimately contributing to improved engine reliability and an extended lifespan. The ability to predict and control engine behavior through real-time blend adjustment marks a significant advancement in automotive engineering, offering enhanced efficiency and durability with biodiesel.</p>

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Enhancement of engine life in biodiesel-fueled systems through feedback mechanisms

  • 期刊论文

  • 发表日期：

    2025年9月20日

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  • S. A. Patil,
  • S. T. Sanamdikar,
  • A. R. Patil

摘要

This research focuses on optimizing key engine input parameters: specifically, the biodiesel blend ratio, engine load, and compression ratio to enhance noise and vibration characteristics. To achieve this, the Taguchi method and regression analysis were employed for parameter analysis, mathematical modeling, and graphical output generation. Simulink models were developed to assess and compare the performance of Karanja biodiesel with mixed biodiesel. For Karanja biodiesel, the tested parameters included a B15 blend, a 7 kg load, and a compression ratio (CR) of 18. In comparison, the mixed biodiesel blend (BKJ20) was evaluated under a 10 kg load and a CR of 17. The results demonstrated that the mixed biodiesel outperformed Karanja biodiesel, indicating its greater potential as a sustainable alternative to diesel fuel or any other single biodiesel. To further support this analysis, a MATLAB-based feedback system was developed. This system focuses on engine noise and vibration acceleration as two critical indicators of engine health and longevity. Users can input parameter values to predict noise and acceleration levels. The system dynamically adjusts the biodiesel blend based on predefined upper and lower bounds for acceptable noise and vibration. This ensures the engine operates within optimal limits, reducing wear and improving stability. The feedback system's output graphs confirm that this adaptive approach enables more consistent engine performance, ultimately contributing to improved engine reliability and an extended lifespan. The ability to predict and control engine behavior through real-time blend adjustment marks a significant advancement in automotive engineering, offering enhanced efficiency and durability with biodiesel.