The current research focuses on the enhancement of a four-stroke diesel-powered apparatus powered by discarded plastic oil and different combinations of diesel fuel with discarded plastic oil. Powered plastic waste and its blends are among the most potential substitutes of fuels to meet the requirement of diesel fuel in CI engines in the upcoming future. In this paper single-cylinder diesel engine was tested and taken into account for optimisation by means of several input parameters. Advanced optimization algorithm considered, namely, teaching learning-based optimisation formula and Jaya algorithm, was, used for maximization of engine brake power, minimization of Brake specific fuel consumption and maximization of the thermal efficiency for selected input engine parameter. The comparison of proposed algorithms is used to find innovative optimization techniques for predicting and optimizing the performance parameter of a WPO fuel and its blends in a CI engine, which requires less experimental work. Also, it is used to identify the ideal blending of fuel for selected engine performance criteria. Convergence trends of JAYA and TLBO were compared, and the results obtained were 85.58% and 79.62 respectively. Finally, obtained results validated by experimental results and the Jaya algorithm proved a sense of more accurate results for selected input parameters from chosen optimisation techniques, in terms of reaching the objective function's optimal value with the lowest rate of convergence.
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Kawade et al. (2024) studied this question.
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