An Analytical Framework for Error Propagation Effects in Multiprocess Manufacturing

Table 5

Comparison of predicted values of error propagation and accumulation with actual processing results (C = 0).

Process	Manufacturing features	Processing results	Direction(mm)			Position(mm)
			jx	jy	jz	px	py	pz
k = 1	MF1	Actual	0.0021	0.0015	1.0010	0.0009	−0.0005	0.0009
		Predicted	0.0015	0.0008	1.0008	0.0005	−0.0003	0.0008
	MF2	Actual	−0.0011	−0.0020	−0.9987	0.0012	−0.0008	0.0010
		Predicted	−0.0005	−0.0014	−0.9992	0.0005	−0.0003	0.0008
k = 2	MF3	Actual	0.0025	0.0019	1.0008	0.0128	0.0165	10.0003
		Predicted	0.0015	0.0012	1.0005	0.0105	0.0147	10.0005
	MF4	Actual	0.0026	0.0020	1.0009	0.0289	0.0402	26.0004
		Predicted	0.0015	0.0012	1.0005	0.0265	0.0387	26.0005
k = 3	MF5	Actual	0.0024	0.0020	1.0010	0.0016	−0.0005	0.0003
		Predicted	0.0015	0.0012	1.0005	0.0005	−0.0003	0.0005
	MF6	Actual	0.0025	0.0018	1.0011	14.0022	0.0144	−0.0133
		Predicted	0.0015	0.0012	1.0005	14.0005	0.0123	−0.0135
k = 4	MF7	Actual	1.0018	−0.0010	0.0009	35.0091	0.0213	4.9605
		Predicted	1.0007	−0.0004	−0.0009	35.0082	0.0192	4.9617
	MF8	Actual	−0.0084	−0.0018	0.0020	−35.0311	−0.0064	5.0395
		Predicted	−0.0093	−0.0012	0.0013	−35.0238	−0.0088	5.0387
k = 5	MF9	Actual	0.0018	−0.0017	1.0002	−0.0412	36.9980	−0.0001
		Predicted	0.0009	−0.0008	1.0001	−0.0397	36.9992	0.0001
	MF10	Actual	0.0016	−0.0019	1.0002	0.0431	−37.0020	−0.0002
		Predicted	0.0009	−0.0008	1.0001	0.0417	−37.0008	0.0001
	MF11	Actual	0.0017	−0.0017	1.0003	−0.0425	36.9970	−0.0001
		Predicted	0.0009	−0.0008	1.0001	−0.0401	36.9992	0.0001
	MF12	Actual	0.0020	−0.0015	1.0002	0.0432	−37.0021	−0.0002
		Predicted	0.0009	−0.0008	1.0001	0.0413	−37.0008	0.0001