Prediction of Cutting Conditions in Turning AZ61 and Parameters Optimization Using Regression Analysis and Artificial Neural Network

Table 2

Comparison between the regression model and ANN predictions.

Machining parameters			Measured Ra (µm)	Regression model		ANN
Speed	Depth	Feed		Predicted Ra	Residual	Predicted Ra	Residual
125	1.12	0.15	1.154	1.05	0.11	1.14	0.01
200	1.12	0.2	1.896	2.39	−0.49	2.16	−0.26
175	1.12	0.1	0.464	0.46	0.01	0.57	−0.11
150	0.6	0.15	1.1058	0.95	0.16	0.90	0.21
175	0.3	0.1	0.386	0.39	−0.01	0.39	−0.01
125	1.12	0.05	0.144	0.20	−0.06	0.19	−0.05
150	0.3	0.15	0.954	0.90	0.06	0.83	0.12
150	1.12	0.2	1.911	2.39	−0.48	2.00	−0.09