Parameter Optimization and Error Compensation of Diffraction Microlens Injection Molding Process

Table 1. Control factors and factor levels of Taguchi experiment
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Table 1. Control factors and factor levels of Taguchi experiment
Factor Symbol Level 1 Level 2 Level 3
Melt temperature A /℃ 230 240 250
Mold temperature B /℃ 65 75 85
Injection time C /s 2 4 6
Cooling time D /s 40 60 80
Holding pressure E /MPa 120 135 150
Holding time F /s 15 25 35

Table 2. Orthogonal test data and signal-to-noise ratio for L₂₇(3⁶)

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Table 2. Orthogonal test data and signal-to-noise ratio for L₂₇(3⁶)

Run	A /℃	B /℃	C /s	D /s	E /MPa	F /s	ΔH /μm	f_i₁	ΔT /μm	f_i₂	F_i
1	230	65	2	40	120	15	6.1	-15.7066	59.1	-35.4317	-1.8954
2	230	65	2	40	135	25	5.5	-14.8073	53.1	-34.5019	-1.8198
3	230	65	2	40	150	35	7.9	-17.9525	86.5	-38.7403	-2.1137
4	230	75	4	60	120	15	6.0	-15.5630	62.3	-35.8898	-1.9015
5	230	75	4	60	135	25	4.3	-12.6694	38.7	-31.7542	-1.6241
6	230	75	4	60	150	35	7.3	-17.2665	79.0	-37.9525	-2.0537
7	230	85	6	80	120	15	6.8	-16.6502	80.1	-38.0727	-2.0246
8	230	85	6	80	135	25	3.8	-11.5957	20.2	-26.1070	-1.3978
9	230	85	6	80	150	35	4.0	-12.0412	24.0	-27.6042	-1.4663
10	240	65	4	80	120	25	7.9	-17.9525	86.8	-38.7704	-2.1946
11	240	65	4	80	135	35	3.8	-18.8897	89.8	-39.0655	-2.1731
12	240	65	4	80	150	15	3.4	-10.6296	32.6	-30.2644	-1.4713
13	240	75	6	40	120	25	5.6	-14.9638	49.0	-33.8039	-1.8072
14	240	75	6	40	135	35	6.8	-16.6502	71.5	-37.0861	-1.9950
15	240	75	6	40	150	15	6.3	-15.9868	62.1	-35.8618	-1.9232
16	240	85	2	60	120	25	5.5	-14.8073	52.5	-34.4032	-1.8169
17	240	85	2	60	135	35	3.3	-10.3703	16.3	-24.9103	-1.2969
18	240	85	2	60	150	15	7.3	-17.5012	84.2	-38.5062	-2.0828
19	250	65	6	60	120	35	9.7	-19.7354	104.4	-40.3740	-1.9972
20	250	65	6	60	135	15	5.3	-14.4855	53.2	-34.5182	-1.8033
21	250	65	6	60	150	25	4.9	-13.8039	46.6	-33.3677	-1.7326
22	250	75	2	80	120	35	8.4	-18.4856	92.3	-39.3040	-2.1589
23	250	75	2	80	135	15	6.4	-16.1236	75.3	-37.5359	-1.9806
24	250	75	2	80	150	25	4.3	-12.6694	15.3	-23.6938	-1.3823
25	250	85	4	40	120	35	4.0	-12.0412	25.0	-27.9588	-1.4770
26	250	85	4	40	135	15	8.3	-18.3816	88.2	-38.9094	-2.1415
27	250	85	4	40	150	25	4.5	-13.0643	31.6	-29.9937	-1.5922

Table 3. ANOVA of signal-to-noise ratio for height error
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Table 3. ANOVA of signal-to-noise ratio for height error
Factor G S M L P
A 2 1.07 0.54 0.13 0.88
B 2 7.98 3.99 1.00 0.39
C 2 0.18 0.09 0.02 0.98
D 2 0.11 0.05 0.01 0.99
E 2 5.93 2.96 0.74 0.49
F 2 11.34 5.67 1.42 0.28
Residuals 14 55.96 3.99
Total 26 82.55

Table 4. ANOVA of signal-to-noise ratio for period error
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Table 4. ANOVA of signal-to-noise ratio for period error
Factor G S M L P
A 2 101.80 50.90 0.06 0.94
B 2 2065.30 1032.65 1.23 0.32
C 2 39.90 19.94 0.02 0.98
D 2 24.10 12.04 0.01 0.99
E 2 1311.80 655.90 0.78 0.48
F 2 2941.70 1470.83 1.75 0.21
Residuals 14 11775.70 841.12
Total 26 18260.30

Table 5. Mean value response of weighted evaluation values

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Table 5. Mean value response of weighted evaluation values

Level	Mean value response
Level	A	B	C	D	E	F
1	-1.811	-1.911	-1.862	-1.863	-1.919	-1.914
2	-1.886	-1.870	-1.848	-1.836	-1.827	-1.708
3	-1.807	-1.723	-1.794	-1.806	-1.758	-1.883
Delta	0.079	0.188	0.068	0.057	0.162	0.206
Serial	4.000	2.000	5.000	6.000	3.000	1.000

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Xingguo Liu, Furong Huo, Changxi Xue. Parameter Optimization and Error Compensation of Diffraction Microlens Injection Molding Process[J]. Laser & Optoelectronics Progress, 2020, 57(5): 052204

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