Defect-free high-feed milling of Ti-6Al-4V alloy via a combination of cutting and wiper inserts

Machinability investigation in electric discharge machining of carbon fiber reinforced composites for aerospace applications

“…ANOVA classifies the observations into several responsible sources to allocate the variation in components to determine the individual influence of each control variable on the set response. [ 7,48 ] The observations were analyzed at a 95% confidence level and the parameters with a probability value ( P ≤ 0.05) were considered significant as mentioned in the results in Table 6. The F‐ratio can also be used to express the significance of control variables such that the variable with a higher F ‐value is more influential followed by others.…”

“…The validation of experimental results is usually performed in parametric optimization. [60][61][62] For this sake, the signal-to-noise (S/N) ratio is first calculated to gain the optimized levels of control variables for each output response. This S/N ratio formula is mentioned in Equations (7) and ( 8) and classified into larger the better value for MRR and smaller the better value for ROC and EWR.…”