Optimizing Cutting Conditions and Prediction of Surface Roughness in Face Milling of AZ61 Using Regression Analysis and Artificial Neural Network

Table 3

Comparison between regression model and ANN predictions.

Machining parameters			Measured Ra	Regression model		ANN
SS	DOC	Fr		Predicted Ra	Residual	Predicted Ra	Residual
500	0.5	150	0.332	0.301	0.031	0.316	0.016
500	1	200	0.37	0.327	0.043	0.356	0.014
500	2	50	0.164	0.147	0.017	0.149	0.015
1000	0.5	100	0.184	0.193	−0.009	0.158	0.026
1000	1	150	0.207	0.224	−0.017	0.208	−0.001
1000	1.5	200	0.258	0.255	0.003	0.272	−0.014
1500	0.5	50	0.115	0.127	−0.012	0.142	−0.027
1500	1	100	0.181	0.164	0.017	0.162	0.019
1500	1.5	150	0.217	0.200	0.017	0.199	0.018
1500	2	200	0.235	0.237	−0.002	0.218	0.017
2000	1	50	0.153	0.146	0.007	0.144	0.009
2000	1.5	100	0.155	0.188	−0.033	0.169	−0.014
2000	2	150	0.255	0.230	0.025	0.266	−0.011