应用光学, 2019, 40 (4): 686, 网络出版: 2019-11-05   

激光扫描在工件表面检测中的应用方法

Application of laser scanning in workpiece surface testing
作者单位
西南交通大学 机械工程学院,四川 成都 610031
引用该论文

龚海强, 单奇, 吴鹏飞, 罗新河. 激光扫描在工件表面检测中的应用方法[J]. 应用光学, 2019, 40(4): 686.

GONG Haiqiang, SHAN Qi, WU Pengfei, LUO Xinhe. Application of laser scanning in workpiece surface testing[J]. Journal of Applied Optics, 2019, 40(4): 686.

参考文献

[1] 房建国,马艳玲,李迪, 等. 发动机叶片椭圆进排气边智能磨削加工检测一体化技术[J].航空精密制造技术,2016, 52(6):1-6.

    FANG Jianguo, MA Yanling, LI Di, et al. Intelligent method of machining-measuing integration for aero-engine elliptical blade-edges [J].Aviation Precision Manufacturing Technology, 2016, 52 (6): 1-6.

[2] 高尚,王紫光,康仁科,董志刚,张璧.工件旋转法磨削硅片的磨粒切削深度模型[J].机械工程学报,2016,52(17):86-93.

    GAO Shang,WANG Ziguang,KANG Renke,et al. Model of grain depth of cut in wafer rotation grinding method for silicon wafers [J]. Journal of Mechanical Engineering, 2016,52(17):86-93.

[3] 厉荣宣, 史东东.工件表面裂纹机器视觉检测研究[J]. 自动化仪表,2017,38(9):85-88.

    LI Rongxuan, SHI Dongdong. Research on the workpiece surface crack detection based on machine vision [J]. Process Automation Instrumentation, 2017, 38 (9): 85-88.

[4] SUN X Y, KANG F N,WANG M M.Improved probabilistic neural network PNN and its application to defect recognition in rock bolts [J]. International Journal of Machine Learning and Cybernetics,2016,7(5):909-919.

[5] 刘永勋,马秉馨,赵敬云.大型机床工件的磨削表面粗糙度检测系统[J].仪表技术与传感器,2018(9):71-74.

    LIU Yongxun, MA Bingxin, ZHAO Jingyun. Surface roughness detection system for workpiece of large machine tool[J]. Instrument Technique and Sensor, 2018(9): 71-74.

[6] 杨张利.机器零件内部材质缺陷的无损探伤与自动检测[J]. 兵器装备工程学报,2014(6):105-107.

    YANG Zhangli. Nondestructive inspection and automatic detection of internal material defect for machine parts[J]. Journal of Ordnance Equipment Engineering, 2014 (6): 105-107.

[7] 曾碧, 张伟. 基于机器视觉的打磨工件跟踪方法研究[J].计算机应用研究, 2018, 35(11):3513-3516.

    ZENG Bi, ZHANG Wei. Research on workpiece tracking based on machine vision[J].Application Research of Computers, 2018, 35 (11): 3513-3516.

[8] 董明明, 陈戈. 基于颜色分离与特征统计分析的工件图像表面异物检测算法[J].国外电子测量技术, 2017,36(9):45-49.

    DONG Mingming, CHEN Ge. Workpiece image surface impurity detection algorithm based on color separation and statistical analysis of the characteristics[J]. Foreign Electronic Measurement Technology, 2017, 36(9): 45-49.

[9] LI Y , QIU Y , CHEN Y , et al. A novel orientation and position measuring system for large and medium scale precision assembly[J]. Optics and Lasers in Engineering, 2014, 62:31-37.

[10] BOKHABRINE Y,SEULIN R,LEW Y V L F C,et al.3D characterization of hot metallic shells during industrial forging[J]. Machine Vision & Applications,2012,23(3):417-425.

[11] 殷建.基于两路激光实时跟踪的机床刀具位姿误差测量[J].激光与光电子学进展,2017,54(12):237-245.

    YIN Jian. Pose error measurement based on two path lasers real-time tracking of machine tool[J]. Laser & Optoelectronics Progress, 2017,54 (12): 237-245.

[12] 刘博文,陈世利,杨毅,等. 基于多线激光扫描的叶片轮廓快速测量系统标定方法[J].纳米技术与精密工程,2017,15(6):532-537.

    LIU Bowen, CHEN Shili, YANG Yi, et al. Calibration method for fast detection system of blade profile based on multiple line laser scanning[J]. Nanotechnology and Precision Engineering, 2017,15(6): 532-537.

[13] ZHANG Y C ,HAN J X ,FU X B ,et al.An online measurement method based on line Laser scanning for large forgings[J].The International Journal of Advanced Manufacturing Technology, 2014, 70(1-4):439-448.

[14] 王仲, 苏野, 刘新波, et al. 回转激光位移传感器逼近式孔心定位方法[J].中国激光, 2012, 39(6):166-172.

    WANG Zhong, SU Ye, LIU Xinbo, et al. An approximation hole center positioning method by rotating laser displacement sensor [J].Chinese Journal of Lasers, 2012, 39 (6): 166-172.

[15] 周森,郭永彩,高潮.基于激光扫描的大尺寸圆锥体几何测量系统[J].中国激光,2014,41(5):211-220.

    ZHOU Sen, GUO Yongcai, GAO Chao. Development of a laser-based geometric measurement system for large-scale conical[J].Chinese Journal of Lasers, 2014,41(5):211-220.

龚海强, 单奇, 吴鹏飞, 罗新河. 激光扫描在工件表面检测中的应用方法[J]. 应用光学, 2019, 40(4): 686. GONG Haiqiang, SHAN Qi, WU Pengfei, LUO Xinhe. Application of laser scanning in workpiece surface testing[J]. Journal of Applied Optics, 2019, 40(4): 686.

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