Prediction of Crack for Drilling Process on Alumina Using Neural Network and Taguchi Method

Table 8

Comparison of cracking percentage between neural network and actual experiment.

Trial number	Spindle speed (rpm)	Feed rate (mm/min)	Depth of cut (mm)	Abrasive grain (#)	Cracking percentage measured by actual experiment	Cracking percentage predicted by neural network	Error %
1	27100	11	0.02	140	17.349	16.760	3.395
2	23000	18	0.06	180	45.236	42.448	6.163
3	20500	15	0.05	100	13.158	12.025	8.611