基于响应面法激光切削柞木效果

doi:10.11707/j.1001-7488.LYKX20240461

Abstract

Abstract:

Objective: This study selected oak wood with low, medium, and high moisture content levels, combined with laser machine technical parameters (lens height, feed speed, light intensity), to analyze the effects of moisture content and laser parameters on slot depth and slot width as cutting outcomes. Response surface methodology (RSM) was introduced to model and guide laser processing for marquetry flooring and wooden crafts. Method: Moisture content (factor A) was evaluated alongside laser parameters (lens height B, feed speed C, light intensity D). Variance analysis and other methods were used to determine the significance of individual factors and their interactions. Result: For slot depth: single-factor significance followed B≈C>A>D, with B and C being highly significant, and A being nearly significant. The interaction term BC was significant, while quadratic terms for A (nonlinear effect) were highly significant and for C notably significant. The simplified RSM regression equation for slot depth was: Y = 522.14A² + 288.32C² + 235.9BC ? 359.23B ? 662.96C + 652.69. For slot width: single-factor significance followed B>D>A>C, with B being highly significant. No significant interactions were observed, but quadratic terms for A and B showed highly significant nonlinear effects. The simplified regression equation for slot width was: Y= 202.22A² + 179.51B² + 187.62B + 237.22. Conclusion: 1) The quadratic effects of moisture content were highly significant, indicating nonlinear impacts on cutting outcomes, particularly pronounced within specific ranges due to minimal influence at low moisture levels. 2) Lens height (B) critically affected both slot depth and width, emphasizing its prioritization in production parameter optimization. For maximizing slot depth, feed speed (C) should be optimized before light intensity (D); for slot width, light intensity (D) takes precedence. 3) With a water content of approximately 27.63%, to achieve a seam depth of 2 500 to 2 700 μm, the optimal parameter range is as follows: the lens height is approximately 5.7 mm, the feed rate is approximately 42 mm·s^?1, and the light intensity is approximately 62%.

Key words: laser, oak, response surface methodology, significance, interaction

CLC Number:

S784

Honggang Zhao,Weihong Sun,Pengpeng Liang,Zixu Zhao,Jianping Sun,Lei Le. Effect of Laser Cutting of Oak Wood Based on Response Surface Methodology[J]. Scientia Silvae Sinicae, 2025, 61(8): 172-179.

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水平 Level	因素 Factor
水平 Level	含水率 Moisture content （A）（%）	镜头高 Lens height （B）/mm	进给速度 Cutting speed （C）/（mm·s^?1）	光强 Light intensity （D）（%）
1	8.29	3	40	25
2	18.81	8	100	63
3	28.41	12.5	160	100

序号 Serial number	影响因素Influencing factors				缝深 Seam depth/ μm	缝宽 Seam width/ μm
序号 Serial number	含水率 Moisture content （A）（%）	镜头高 Lens height （B）/ mm	进给速度 Cutting speed （C）/ （mm·s^?1）	光强 Light intensity （D）（%）	缝深 Seam depth/ μm	缝宽 Seam width/ μm
1	8.29	3	100	63	1 565	326
2	8.29	8	40	63	2 174	507
3	8.29	8	100	25	869	395
4	8.29	8	100	100	988	435
5	8.29	8	160	63	613	475
6	8.29	12.5	100	63	711	838
7	18.81	3	40	63	2 314	266
8	18.81	3	100	25	514	278
9	18.81	3	100	100	1 293	263
10	18.81	3	160	63	511	263
11	18.81	8	40	25	1 315	313
12	18.81	8	40	100	1 454	406
13	18.81	8	100	63	640	254
14	18.81	8	100	63	723	212
15	18.81	8	100	63	564	282
16	18.81	8	100	63	756	203
17	18.81	8	100	63	526	293
18	18.81	8	160	25	515	192
19	18.81	8	160	100	529	300
20	18.81	12.5	40	63	1 115	497
21	18.81	12.5	100	25	385	632
22	18.81	12.5	100	100	346	682
23	18.81	12.5	160	63	256	643
24	28.41	3	100	63	1 669	496
25	28.41	8	100	25	1 140	475
26	28.41	8	100	100	1 370	557
27	28.41	8	40	63	2 720	493
28	28.41	8	160	63	777	438
29	28.41	12.5	100	63	714	837

来源Source	平方和 Sum of squares	自由度df	均方 Mean square	F	P
方程Equation	1.014E+07	14	7.240E+05	16.63	<0.000 1
A	1.803E+05	1	1.803E+05	4.14	0.061 2
B	1.544E+06	1	1.544E+06	35.46	<0.000 1
C	5.239E+06	1	5.239E+06	120.33	<0.000 1
D	1.443E+05	1	1.443E+05	3.31	0.090 1
AB	1 039.29	1	1 039.29	0.023 9	0.879 4
AC	29 084.59	1	29 084.59	0.668 0	0.427 4
AD	3 080.82	1	3 080.82	0.070 8	0.794 1
BC	2.230E+05	1	2.230E+05	5.12	0.040 0
BD	1.760E+05	1	1.760E+05	4.04	0.064 0
CD	4 686.19	1	4 686.19	0.107 6	0.747 7
A²	1.759E+06	1	1.759E+06	40.40	<0.000 1
B²	301.44	1	301.44	0.006 9	0.934 9
C²	9.781E+05	1	9.781E+05	22.47	0.000 3
D²	21 184.70	1	21 184.70	0.486 6	0.496 9
残差Residual	6.096E+05	14	43 539.41
失拟项Lack-of-fit	5.705E+05	10	57 045.09	5.84	0.051 9
误差项Error term	39 100.80	4	9 775.20
总和Sum	1.075E+07	28

来源Source	平方和 Sum of squares	自由度 df	均方 Mean square	F	P
方程Equation	8.458E+05	14	60 416.54	17.43	<0.000 1
A	9 467.08	1	9 467.08	2.73	0.120 7
B	4.212E+05	1	4.212E+05	121.48	<0.000 1
C	2 803.87	1	2 803.87	0.808 7	0.383 7
D	9 971.53	1	9 971.53	2.88	0.112 0
AB	7 994.90	1	7 994.90	2.31	0.151 1
AC	115.55	1	115.55	0.033 3	0.857 8
AD	411.03	1	411.03	0.118 6	0.735 7
BC	4 783.99	1	4 783.99	1.38	0.259 7
BD	1 191.53	1	1 191.53	0.343 7	0.567 0
CD	74.77	1	74.77	0.021 6	0.885 3
A²	2.638E+05	1	2.638E+05	76.10	<0.000 1
B²	2.076E+05	1	2.076E+05	59.87	<0.000 1
C²	1 595.83	1	1 595.83	0.460 3	0.508 5
D²	7 043.80	1	7 043.80	2.03	0.176 0
残差Residual	48 537.49	14	3 466.96
失拟项Lack-of-fit	41 724.29	10	4 172.43	2.45	0.201 1
误差项Error term	6 813.20	4	1 703.30
总和Sum	8.944E+05	28

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Effect of Laser Cutting of Oak Wood Based on Response Surface Methodology

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