...: response surface methodology ( RSM ) optimized cutting parameters, and a Whale Optimization Algorithm-backpropagation (WOA-BP) neural network model was built using machining angle and time to predict localized tool wear. Findings The proposed RSM–WOA-BP model achieved high prediction accuracy, reducing...

... only Biodiesel Engine Oil Corrosion Response Surface Methodology Tribology Engine cylinder liner-piston ring Fundamental Research Grant Scheme PT(BPKl)1000/016/018/25 Jld. 4 Funding: The authors acknowledge the University of Malaya and the Ministry of Higher Education...

... in the minimum quantity lubrication (MQL) system of Inconel 718’s face milling process. Response surface methodology (RSM) was used to determine the effect of the BX element on cutting performance. Face milling operations were carried out by adding BX elements at 1.5% and 3% at two different rates. Findings...

.... The response surface methodology was adopted to identify the optimum wear operating condition and ANOVA to identify the significant factors. Findings LST improves the wear resistance of C-263 nickel-based superalloy by appeoximately 82 per cent. Higher wear rate occurs at maximum values of all operating...

...Nor Syahirah Mohamad; Salmiah Kasolang Purpose An optimized model is often deployed to reduce trial and error in experimental approach and obtain the multi-variant correlation. In this study, response surface methodology (RSM), namely, Box–Behnken design (BBD) approach, has been used to optimize...