Modeling and Prediction Method for CNC Machine Tools’ Errors Based on Spatial Feature Points

Table 1

The partial data of feature points’ errors.

Measuring feature points	Error components (μm)
	Cnx	Cny	Cnz
P1 (−565, −255, −155)	−1.000	8.390	4.590
P2 (−425, −255, −155)	−6.040	−10.660	10.315
P3 (−285, −255, −155)	−35.900	−28.760	4.840
P4 (−565, −115, −155)	2.675	5.925	6.020
P5 (−425, −115, −155)	−2.900	−1.609	16.965
P6 (−285, −115, −155)	−26.530	−32.420	13.445
P7 (−565, 25, −155)	0.505	16.190	−3.750
P8 (−425, 25, −155)	−6.530	−2.440	−16.520
P9 (−285, 25, −155)	−32.350	−23.240	−41.650
P10 (−565, −255, −295)	−3.330	1.135	9.475
P11 (−425, −255, −295)	−18.710	−20.420	9.630
P12 (−285, −255, −295)	−42.530	−36.780	−5.190
P13 (−565, −115, −295)	0.235	−1.920	15.150
P14 (−425, −115, −295)	−11.630	−23.910	15.300
P15 (−285, −115, −295)	−36.200	−42.420	3.000
P16 (−565, 25, −295)	−3.750	7.910	−5.700
P17 (−425, 25, −295)	−16.520	−13.730	−4.380
P18 (−285, 25, −295)	−41.650	−34.610	−11.310