Abstract
Currently biodiesel can be considered the best alternative to conventional diesel in a diesel engine without any modifications. Biodiesel can be obtained from waste frying oil with the help of the transesterification process. Performance of the transesterification process depends upon five input parameters (Milosavljević et al., 2016): response time, methanol to oil ratio, process temperature, stir speed, and catalyst concentration. The examination is assessed by methanol to oil ratio, response time, and catalyst concentration. Manual tuning of this process variable is a tough task to obtain the optimum output: biodiesel. Equation response surface methodology (RSM) is utilized to build up the numerical model, while as an advancement strategy the elephant swarm water search algorithm (ESWSA) is utilized to test the nonlinear model. From the results analysis, it is seen that RSM optimized ESWSA offers maximum accuracy (96.863%) over RSM-based model (71.24%).
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