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基于激光诱导击穿光谱技术在线监测碳纤维复合材料激光清洗效果

Online Monitoring of Laser Cleaning Effect of Carbon Fiber Composite Materials Based on Laser-Induced Breakdown Spectroscopy Technology

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摘要

结合激光诱导击穿光谱(LIBS)技术,设计激光清洗在线监测系统以实时监测激光清洗的质量。实验所用的激光器为光纤激光器,其可以在多维空间中加工应用。首先确定激光清洗速度,并研究LIBS随激光单脉冲能量密度的变化规律,用来表征碳纤维复合材料清洗的效果。然后在数据分析的处理上,采用均值平滑去除背景的方法处理包络状的光谱连续背景;采用DBSCAN(Density-Based Spatial Clustering of Applications with Noise)算法实现光谱噪声和有效数据的分离;采用皮尔逊系数分析的方法确定激光清洗的最佳烧蚀次数,为激光清洗实现过程自动优化控制提供判定依据。最后采用扫描电子显微镜分析碳纤维表面形貌特征,证实LIBS技术在线监测激光清洗效果的有效性。

Abstract

Combined with laser-induced breakdown spectroscopy (LIBS) technology, the laser cleaning online monitoring system is designed to monitor the quality of laser cleaning in real time. The fiber laser uses in the experiment can be processed and applied in a multidimensional space. First, we determine the laser cleaning speed value and study the change law of LIBS with laser single pulse energy density, which can characterize the cleaning effect of carbon fiber composite materials. Then, during data analysis processing, the method of removing the background by mean smoothing is used to process the continuous background of the envelope-like spectrum. The density-based spatial clustering of applications with noise algorithm is used to realize the separation of spectral noise and effective data. The Pearson coefficient analysis method determines the best ablation times for laser cleaning, and provides a basis for the automatic optimization control of the laser cleaning process. Finally, a scanning electron microscope is used to analyze the surface morphology of the carbon fiber, which confirmes the effectiveness of LIBS technology to monitor the laser cleaning effect online.

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中图分类号:O433.4

DOI:10.3788/CJL202047.1111003

所属栏目:光谱学

基金项目:中国科学院前沿科学重点研究计划、中国科学院青年创新促进会项目、辽宁省兴辽英才计划;

收稿日期:2020-05-22

修改稿日期:2020-06-28

网络出版日期:2020-11-01

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孙兰香:中国科学院沈阳自动化研究所机器人学国家重点实验室, 辽宁 沈阳 110016中国科学院网络化控制系统重点实验室, 辽宁 沈阳 110016中国科学院机器人与智能制造创新研究院, 辽宁 沈阳 110169
王文举:中国科学院沈阳自动化研究所机器人学国家重点实验室, 辽宁 沈阳 110016东北大学, 辽宁 沈阳 110006
齐立峰:中国科学院沈阳自动化研究所机器人学国家重点实验室, 辽宁 沈阳 110016中国科学院网络化控制系统重点实验室, 辽宁 沈阳 110016中国科学院机器人与智能制造创新研究院, 辽宁 沈阳 110169
陆莹:中国科学院沈阳自动化研究所机器人学国家重点实验室, 辽宁 沈阳 110016中国科学院网络化控制系统重点实验室, 辽宁 沈阳 110016中国科学院机器人与智能制造创新研究院, 辽宁 沈阳 110169
乔红超:中国科学院沈阳自动化研究所机器人学国家重点实验室, 辽宁 沈阳 110016中国科学院网络化控制系统重点实验室, 辽宁 沈阳 110016中国科学院机器人与智能制造创新研究院, 辽宁 沈阳 110169
汪为:中国科学院沈阳自动化研究所机器人学国家重点实验室, 辽宁 沈阳 110016中国科学院网络化控制系统重点实验室, 辽宁 沈阳 110016中国科学院机器人与智能制造创新研究院, 辽宁 沈阳 110169中国科学院大学, 北京 100049

联系人作者:孙兰香(sunlanxiang@sia.cn)

备注:中国科学院前沿科学重点研究计划、中国科学院青年创新促进会项目、辽宁省兴辽英才计划;

【1】Xie Y F, Liu H W, Hu Y X. Determining process parameters for laser derusting of ship steel plates [J]. Chinese Journal of Lasers. 2016, 43(4): 0403008.
解宇飞, 刘洪伟, 胡永祥. 船舶板材激光除锈工艺参数确定方法研究 [J]. 中国激光. 2016, 43(4): 0403008.

【2】Chen Y M, Zhou L Z, Yan F, et al. Mechanism and quality evaluation of laser cleaning of aluminum alloy [J]. Chinese Journal of Lasers. 2017, 44(12): 1202005.
陈一鸣, 周龙早, 闫飞, 等. 铝合金激光清洗机理与质量评估 [J]. 中国激光. 2017, 44(12): 1202005.

【3】Xing H N, Ran H L, Zhao H F, et al. Development and application of laser cleaning technology [J]. Cleaning World. 2018, 34(5): 23-31.
邢宏楠, 冉合利, 赵慧峰, 等. 激光清洗技术发展及应用 [J]. 清洗世界. 2018, 34(5): 23-31.
Xing H N, Ran H L, Zhao H F, et al. Development and application of laser cleaning technology [J]. Cleaning World. 2018, 34(5): 23-31.
邢宏楠, 冉合利, 赵慧峰, 等. 激光清洗技术发展及应用 [J]. 清洗世界. 2018, 34(5): 23-31.

【4】Mahmood H, Tripathi M, Pugno N, et al. Enhancement of interfacial adhesion in glass fiber/epoxy composites by electrophoretic deposition of graphene oxide on glass fibers [J]. Composites Science and Technology. 2016, 126: 149-157.Mahmood H, Tripathi M, Pugno N, et al. Enhancement of interfacial adhesion in glass fiber/epoxy composites by electrophoretic deposition of graphene oxide on glass fibers [J]. Composites Science and Technology. 2016, 126: 149-157.

【5】Jia B S, Tang H P, Su C Z, et al. Removal of surface coating of resin matrix composites by pulsed laser [J]. Chinese Journal of Lasers. 2019, 46(12): 1202010.
贾宝申, 唐洪平, 苏春洲, 等. 脉冲激光去除树脂基复合材料表面涂层 [J]. 中国激光. 2019, 46(12): 1202010.

【6】Gobernado-Mitre I, Prieto A C, Zafiropulos V, et al. On-line monitoring of laser cleaning of limestone by laser-induced breakdown spectroscopy and laser-induced fluorescence [J]. Applied Spectroscopy. 1997, 51(8): 1125-1129.Gobernado-Mitre I, Prieto A C, Zafiropulos V, et al. On-line monitoring of laser cleaning of limestone by laser-induced breakdown spectroscopy and laser-induced fluorescence [J]. Applied Spectroscopy. 1997, 51(8): 1125-1129.

【7】Klein S, Hildenhagen J, Dickmann K, et al. LIBS-spectroscopy for monitoring and control of the laser cleaning process of stone and medieval glass [J]. Journal of Cultural Heritage. 2000, 1: S287-S292.

【8】Mateo M P, Ctvrtnickova T, Fernandez E, et al. Laser cleaning of varnishes and contaminants on brass [J]. Applied Surface Science. 2009, 255(10): 5579-5583.Mateo M P, Ctvrtnickova T, Fernandez E, et al. Laser cleaning of varnishes and contaminants on brass [J]. Applied Surface Science. 2009, 255(10): 5579-5583.

【9】Majewski M S, Kelley C, Hassan W, et al. Laser induced breakdown spectroscopy for contamination removal on engine-run thermal barrier coatings [J]. Surface and Coatings Technology. 2011, 205(19): 4614-4619.

【10】Chen L, Deng G L, Feng G Y, et al. Study on the mechanism of laser paint removal based on LIBS and time resolved characteristic signal [J]. Spectroscopy and Spectral Analysis. 2018, 38(2): 367-371.
陈林, 邓国亮, 冯国英, 等. 基于LIBS及时间分辨特征峰的激光除漆机理研究 [J]. 光谱学与光谱分析. 2018, 38(2): 367-371.

【11】Yao H B, Yu W L, Li Y R, et al. Analysis of laser cleaning of iron in air based on characteristics of plasma spectra [J]. Acta Photonica Sinica. 2013, 42(11): 1295-1299.
姚红兵, 于文龙, 李亚茹, 等. 基于等离子体光谱特征的空气中激光铁块清洗的研究 [J]. 光子学报. 2013, 42(11): 1295-1299.

【12】Tong Y Q, Zhang Y K, Yao H B, et al. Plasma spectral analysis of laser cleaning process in air [J]. Spectroscopy and Spectral Analysis. 2011, 31(9): 2542-2545.
佟艳群, 张永康, 姚红兵, 等. 空气中激光清洗过程的等离子体光谱分析 [J]. 光谱学与光谱分析. 2011, 31(9): 2542-2545.

【13】Tong Y Q, Zhang Y K, Yao H B, et al. Real-time monitoring system for laser derusting based on plasma intensity [J]. Chinese Journal of Lasers. 2011, 38(10): 1003009.
佟艳群, 张永康, 姚红兵, 等. 基于等离子体光强信号的激光除锈实时监测系统 [J]. 中国激光. 2011, 38(10): 1003009.

【14】Tong Y Q, Zhang A, Fu Y H, et al. Research on on-line detection of plasma spectroscopy in laser cleaning of the carbon fiber reinforced polymer [J]. Spectroscopy and Spectral Analysis. 2019, 39(8): 2388-2394.
佟艳群, 张昂, 符永宏, 等. 碳纤维复合材料的激光清洗等离子体光谱在线检测研究 [J]. 光谱学与光谱分析. 2019, 39(8): 2388-2394.

【15】Lei Z L, Sun H R, Chen Y B, et al. Elimination of rusting layer from high-strength steel surface using different laser cleaning methods [J]. Chinese Journal of Lasers. 2019, 46(7): 0702003.
雷正龙, 孙浩然, 陈彦宾, 等. 不同激光清洗方法对高强钢表面锈蚀层的去除研究 [J]. 中国激光. 2019, 46(7): 0702003.

引用该论文

Sun Lanxiang,Wang Wenju,Qi Lifeng,Lu Ying,Qiao Hongchao,Wang Wei. Online Monitoring of Laser Cleaning Effect of Carbon Fiber Composite Materials Based on Laser-Induced Breakdown Spectroscopy Technology[J]. Chinese Journal of Lasers, 2020, 47(11): 1111003

孙兰香,王文举,齐立峰,陆莹,乔红超,汪为. 基于激光诱导击穿光谱技术在线监测碳纤维复合材料激光清洗效果[J]. 中国激光, 2020, 47(11): 1111003

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