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Fig. 10 | Mechanics of Advanced Materials and Modern Processes

Fig. 10

From: Experimental investigation of surface roughness, flank wear, chip morphology and cost estimation during machining of hardened AISI 4340 steel with coated carbide insert

Fig. 10

Normal probability plot of surface roughness (Ra) and flank wear (VB). The graphs in Fig. 10 are Anderson–Darling test and normal probability plots of the residuals versus the predicted response for the surface roughness and flank wear. The measured points (red in colour) closely follow the fitted strait line. The Anderson-Darling test has good power and is especially effective at detecting departure from normality in the high and low values of a distribution. The null hypothesis is that the data distribution law is normal and the alternative hypothesis is that it is non-normal. Using the P-value which is greater than alpha of 0.05 (level of significance), so we cannot reject the null hypothesis (i.e., the data follow a normal distribution). Based on the plots and the normality tests, assume that the data are from a normally distributed population. This implies that the models proposed are adequate

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