声信号辅助同轴视觉激光模具修复飞溅控制

刘立君; 柳学杨; 兰虎; 张伟杰; 贾志欣; 李继强

声信号辅助同轴视觉激光模具修复飞溅控制

1.
浙江大学宁波理工学院, 宁波 315100;浙江大学机械工程学院, 杭州 310027
2.
浙江大学机械工程学院, 杭州 310027
3.
哈尔滨理工大学材料科学与工程学院, 哈尔滨 150080
4.
浙江大学宁波理工学院, 宁波 315100

基金项目: 国家自然科学基金资助项目(51275468);浙江省自然科学基金资助项目(Y1110262,LY12E05015);黑龙江省自然科学基金资助项目(E201240);宁波市自然科学基金项目(2014A610078);浙江省零件轧制成形技术研究重点实验室开放基金资助项目(ZKL-PR-200303);哈尔滨市优秀学科带头人基金资助项目(2012RFXXG75)

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- 收稿日期: 2013-11-29

Splash control of laser mould strengthen based on coaxial visual supplemented by acoustical signal

1.
Ningbo Institute of Technology, Zhejiang University, Ningbo 315100, China;Zhejiang University, Hangzhou 310027, China
2.
Zhejiang University, Hangzhou 310027, China
3.
Harbin University of Science and Technology, Harbin 150080, China
4.
Ningbo Institute of Technology, Zhejiang University, Ningbo 315100, China

摘要

摘要: 在模具表面激光强化过程中,当单位材料激光能量达到一定值时,微小的离焦量波动就会导致飞溅缺陷的产生,对模具表面强化质量有较大的影响. 利用CCD同轴视觉对激光强化的过程进行实时采集并处理,提取焊道宽度信息,作为电流一定情况下飞溅产生的一个特征量. 但仅仅依靠视觉图像不能够保证检测的准确性,而声信号强度与激光能量有直接的关系,通过试验验证了这种关系. 探索了声信号的均方根与飞溅产生的关系. 通过声信号辅助同轴视觉对焊接过程的监测,通过不同的方面对激光模具修复飞溅的检测,极大的提高了飞溅检测的准确性.
- 模具激光强化 /
- 离焦量 /
- 同轴视觉 /
- 声信号
Abstract: During laser strengthening mould surface, a tiny wave of defocusing amount will generate splash as laser energy reach a certain value, which has strong effect on mould surface strengthening quality. By real-time collecting and processing the picture while laser strengthening the mould surface using CCD coaxial visual, the width of weld bead was extracted as the characteristic quantity of splash under fixed current. Acoustic signal strength has direct relation with laser energy and the relationship between acoustical signal RMS and splash was also investigated. Coaxial visual supplemented by acoustical signal achieve detecting laser strengthening splash using different sensor, improving remarkably the accuracy of splash detecting.
- mould laser strengthen /
- off-focus value /
- coaxial visual /
- acoustic signal

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参考文献(6)

[1]	Shen H Y, Lin T, Chen S B, et al. Real-time seam tracking technology of welding robot with visual sensing [J]Journal of Intelligent & Robotic Systems, 2010,59(4) : 283-298.
[2]	Liu L J, Chen L Q, Jia Z X, et al. Laser local stripe bionic strengthening of mould surface[C]// 2011 International Conference on Engineering Design and Optimization, Ningbo, 2012: 889-892.
[3]	刘京雷, 陈彦宾, 徐庆鸿. 激光焊接声信号与熔深的相关性[J]. 焊接学报, 2006, 27(1): 72-75. Liu Jinglei, Chen Yanbin, Xu Qinghong. Correlation of acoustic signals and weld depth in laser welding[J]. Transactions of the China Welding Institution, 2006, 27(1): 72-75.
[4]	Liu Pengfei, Sun Zhenguo, Huang Cao, et al. Weld pool image sensor for pulsed MIG welding[J]. China Welding, 2008, 17(1): 1-5.
[5]	孟宣宣, 王春明, 胡席远. CO₂光拼焊的光与声信号分析[J]. 焊接学报, 2011, 32(7): 95-99. Meng Xuanxuan, Wang Chunming, Hu Xiyuan. Analysis of optical and acoustic signals in CO₂ laser butt welding[J]. Transactions of the China Welding Institution, 2011, 32(7): 95-99.
[6]	刘立君, 兰虎, 温建力, 等. MIG焊熔透电弧声小波包频带能量特征提取[J]. 焊接学报, 2010, 31(1): 45-49. Liu Lijun, Lan Hu, Wen Jianli, et al. Feature extraction of penetration arc sound in MIG welding vis wavelet packet frequency-band energy[J]. Transactions of the China Welding Institution, 2010, 31(1): 45-49.

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文章访问数: 245
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声信号辅助同轴视觉激光模具修复飞溅控制

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出版历程

Splash control of laser mould strengthen based on coaxial visual supplemented by acoustical signal

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出版历程

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