激光与光电子学进展, 2019, 56 (23): 231402, 网络出版: 2019-11-27 复制并引用该论文  本文已被引 3 次  被引通知

图 & 表

图 1. 激光除漆示意图

Fig. 1. Diagram of laser paint removal

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图 2. 各因素交互作用对表面成分的影响

Fig. 2. Effect of interaction of all factors on surface composition

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图 3. 不同搭接率下清洗表面的微观形貌与元素成分。(a) 50%;(b) 75%

Fig. 3. Cleaning surface micromorphology and elemental composition under different overlap rates. (a) 50%; (b) 75%

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图 4. 光斑搭接率和功率对表面成分的影响。(a)等高线图;(b)响应曲面图

Fig. 4. Effects of spot overlap rate and power on surface composition. (a) Contour graph; (b) response graph

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图 5. 光斑搭接率和扫描次数对表面成分的影响。(a)等高线图;(b)响应曲面图

Fig. 5. Effects of spot overlap rate and number of scans on surface composition. (a) Contour graph; (b) response graph

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图 6. 各因素交互作用对表面粗糙度的影响

Fig. 6. Effect of interaction of all factors on surface roughness

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图 7. 不同功率下清洗表面的微观形貌与线粗糙度。(a) 20 W;(b) 25 W

Fig. 7. Cleaning surface micromorphology and line roughness at different powers. (a) 20 W; (b) 25 W

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图 8. 功率和扫描次数对表面粗糙度的影响。(a)等高线图;(b)响应曲面图

Fig. 8. Effects of power and number of scans on surface roughness. (a) Contour graph; (b) response graph

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图 9. 功率和光斑搭接率对表面粗糙度的影响。(a)等高线图;(b)响应曲面图

Fig. 9. Effects of power and spot overlap rate on surface roughness. (a) Contour graph; (b) response graph

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表 1304不锈钢的主要化学成分

Table1. Main chemical composition of 304 stainless steel

Element C Si Mn Cr Ni S P N Fe Mass fraction /% ≤0.08 ≤1.0 ≤2.0 18.0-20.0 8.0-10.5 ≤0.03 ≤0.035 ≤0.1 Bal.

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表 2激光除漆系统的主要技术参数

Table2. Main technical parameters of laser paint removal system

Parameter Value Wavelength /nm 1064 Power /W ≤ 100 Pulse width /ns 100 Frequency /kHz 10-100 Scan speed /(mm·s-1) ≤8000 Focal length /mm 160 Waist diameter /mm 0.05

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表 3实验因素和水平设计

Table3. Experimental factors and level design

Factor Extreme value Low(-1) Medium(0) High(+1) Power P /W 15 20 25 Spot overlap rate γ /% 25 50 75 Number of scans N 2 3 4

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表 4实验设计矩阵与实验结果

Table4. Design matrix and experimental results

No. Parameter Result P /W γ /% N S Sa /μm 1 25 25 3 50 0.6966 2 25 50 2 60 0.8036 3 25 75 3 20 1.1528 4 25 50 4 30 1.5258 5 15 50 2 40 1.5620 6 20 50 3 85 0.5980 7 20 50 3 85 0.6330 8 15 50 4 85 1.0620 9 20 50 3 80 0.7070 10 20 75 4 10 1.0588 11 20 50 3 80 0.7860 12 20 75 2 20 1.0844 13 20 50 3 75 0.5900 14 20 25 2 30 0.8038 15 20 25 4 65 0.8788 16 15 25 3 40 0.9316 17 15 75 3 60 0.9498

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表 5表面成分模型的方差分析结果

Table5. ANOVA for surface composition model

Source Sum of squares Degree of freedom Mean square F Probability Model 10321.99 9 1146.89 16.62 0.0006 P 528.13 1 528.13 7.65 0.0278 γ 703.13 1 703.13 10.19 0.0152 Pγ 625.00 1 625.00 9.06 0.0197 PN 1406.25 1 1406.25 20.38 0.0027 γN 506.25 1 506.25 7.34 0.0303 γ2 3968.38 1 3968.38 57.52 0.0001 N2 1592.85 1 1592.85 23.09 0.0020 Lack of fit 393.75 3 131.25 5.89 0.0599 Note: residual-square R2=0.9553; adjusted residual-square RAdj2=0.8978; predicted residual-square Rpred2=0.4040; adeq precision AP=11.479.

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表 6表面粗糙度模型的方差分析结果

Table6. ANOVA for surface roughness model

Source Sum of squares Degree of freedom Mean square F Probability Model 1.30 9 0.14 25.26 0.0002 γ 0.11 1 0.11 19.17 0.0032 Pγ 0.048 1 0.048 8.42 0.0230 PN 0.37 1 0.37 65.52 <0.0001 P2 0.32 1 0.32 56.24 0.0001 N2 0.38 1 0.38 66.34 <0.0001 Lack of fit 0.012 3 0.004 0.60 0.6484 Note: R2=0.9701, RAdj2=0.9317, Rpred2=0.8196, AP=15.336.

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表 7优化准则和权重

Table7. Optimization criteria and weight

Name Criteria Weight Goal Lower Upper P In range 15 25 1 γ In range 25 75 1 N Equal to 3 2 4 1 S Maximize 75 100 1 Sa Minimize 0 1 1

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表 8优化结果

Table8. Optimization results

Number P /W γ /% N S Sa /μm 1 19.18 46.06 3 82.9 0.661

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杨嘉年, 周建忠, 孙奇, 孟宪凯, 朱明, 郭召恒, 付强. 基于响应面分析的激光除漆工艺参数优化[J]. 激光与光电子学进展, 2019, 56(23): 231402. Jianian Yang, Jianzhong Zhou, Qi Sun, Xiankai Meng, Ming Zhu, Zhaoheng Guo, Qiang Fu. Laser Paint Removal Process Parameter Optimization via Response Surface Methodology[J]. Laser & Optoelectronics Progress, 2019, 56(23): 231402.