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Performance evaluation of ANFIS, ANN and RSM in biodiesel synthesis from Karanja oil with Domestic Microwave set up

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Abstract

The research work presents the microwave-assisted transesterification process to transform the Karanja oil into biodiesel. The different optimization and modelling techniques were compared and parameters were optimized to obtain the highest yield. Adaptive neuro-fuzzy inference System (ANFIS), Artificial Neural Network (ANN) and Response Surface Methodology (RSM) are assessed in the transesterification of Karanja oil esterified with methanol in the appearance of NaOH as a catalyst with microwave power. The investigation was carried out by considering the time, methanol/oil mole ratio, volume and catalyst concentration parameters and using Box Behnken design for experimentation. Statistical performance gauge showed Root mean square error (RMSE), coefficient of determination (R2) adjusted R2, Sum of square error (SSE) and mean square error (MSE). A modified Domestic Microwave used for experimentation, which is functioning at 2450 MHz, the topmost power output of 700W attached with DC motor having 100 rpm for stirring action. The highest yield of 87.34% was extracted with optimized parameters of rection.

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  1. F. E. T. Gurukula Kangri (DU), Haridwar, India

    Sunil Kumar, Jasbir Singh, Vivudh Fore & Amrish Kumar

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  1. Sunil Kumar
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  2. Jasbir Singh
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Contributions

Sunil Kumar: Writing Original Draft, Investigation.

Jasbir Singh: Writing—review & editing.

Vivudh Fore: Software.

Amrish Kumar: Methodology.

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Correspondence to Sunil Kumar.

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Kumar, S., Singh, J., Fore, V. et al. Performance evaluation of ANFIS, ANN and RSM in biodiesel synthesis from Karanja oil with Domestic Microwave set up. Multimed Tools Appl 82, 42509–42525 (2023). https://doi.org/10.1007/s11042-023-15253-9

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