线激光在机测量建模与数据预处理研究
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摘要
针对复杂曲面线激光在机高效、精密测量难题,虑及被测表面几何、反光特性、位姿倾角等多因素影响,建立了面向复杂曲面几何信息精确提取的线激光在机测量数学模型,设计了高斯滤波与中值滤波相结合的测点去噪、基于角度弦高的数据精简等数据处理算法,有效降低了测量数据波动与冗余度。利用所开发的线激光在机测量系统,对典型弧型面进行了扫描测量实验与数据处理分析,表明所建立的测量模型与设计的数据预处理算法可满足线激光在机测量要求。
Aiming at the problem of high efficiency and precision measurement of complex curved surface by using laser,taking into account the measured surface geometry,reflective characteristics,bit angle and other factors. A mathematical model for the measurement of complex surface geometric information based on line laser on-machine measurement is established. In order to reduce the data fluctuation and redundancy effectively,a data denoising method based on Gaussian filtering and median filtering is designed. And a data reduction algorithm based on angle chord is designed. With the developed line laser on-machine measurement system,the typical arc surface scanning experiments and data processing are carried out. The results show that the established measurement model and the data preprocessing algorithm can meet the requirements of the linear laser measurement.
Aiming at the problem of high efficiency and precision measurement of complex curved surface by using laser,taking into account the measured surface geometry,reflective characteristics,bit angle and other factors. A mathematical model for the measurement of complex surface geometric information based on line laser on-machine measurement is established. In order to reduce the data fluctuation and redundancy effectively,a data denoising method based on Gaussian filtering and median filtering is designed. And a data reduction algorithm based on angle chord is designed. With the developed line laser on-machine measurement system,the typical arc surface scanning experiments and data processing are carried out. The results show that the established measurement model and the data preprocessing algorithm can meet the requirements of the linear laser measurement.
引文
[1]邹焱飚,龚国基.面向焊缝跟踪的线激光检测技术研究[J].应用激光,2015,35(4):500-507.
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[7]王永青,冀志超,侯博,等.基于粒子群算法的三维扫描点云数据在机配准[J].组合机床与自动化加工技术,2016(12):23-26.
[8]牟鲁西.复杂曲面零件在机测量关键技术研究与应用[D].武汉:华中科技大学,2012.
[9]张德强,李金华,程杰.散热盖模具点云数据预处理技术研究[J].机械设计与制造,2014(4):246-247.
[10]I Budak,D Vukelic',D Bracun,et al.Pre-processing of point-data from contact and optical 3D digitization sensors[J].Sensors,2012,12(1):1100-1126.
[11]董明晓,郑康平.一种点云数据噪声点的随机滤波处理方法[J].中国图象图形学报:A辑,2004,9(2):245-248.
[12]樊彦国,杨洪旭,任启飞.一种改进的激光点云数据精简算法[J].激光与红外,2016,46(6):49-52.
[13]Liu H B,Wang Y Q,Jia Z Y,et al.Integration strategy of on-machine measurement(OMM)and numerical control(NC)machining for the large thin-walled parts with surface correlative constraint[J].The International Journal of Advanced Manufacturing Technology,2015,80(9-12):1721
[14]ISO 11562-1998,Geometric product specifications-Surface texture:Profile method-Metrological characteristics of phase correct filters[S].
[2]陶冶.大型零件在机接触式跟踪扫描测量方法及关键技术[D].大连:大连理工大学,2014.
[3]刘海波.大型不规则薄壁零件测量—加工一体化制造方法与技术[D].大连:大连理工大学,2012.
[4]李凌旻,王振兴,习俊通.无位姿约束的线激光视觉传感器参数标定[J].光电工程,2013,40(6):63-70.
[5]Be2ic'I,Van Gestel N,Kruth J P,et al.Accuracy improvement of laser line scanning for feature measurements on CMM[J].Optics and Lasers in Engineering,2011,49(11):1274-1280.
[6]Ko T J,Park J W,Kim H S,et al.On-machine measurement using a noncontact sensor based on a CAD model[J].The international journal of advanced manufacturing technology,2007,32(7-8):739-746.
[7]王永青,冀志超,侯博,等.基于粒子群算法的三维扫描点云数据在机配准[J].组合机床与自动化加工技术,2016(12):23-26.
[8]牟鲁西.复杂曲面零件在机测量关键技术研究与应用[D].武汉:华中科技大学,2012.
[9]张德强,李金华,程杰.散热盖模具点云数据预处理技术研究[J].机械设计与制造,2014(4):246-247.
[10]I Budak,D Vukelic',D Bracun,et al.Pre-processing of point-data from contact and optical 3D digitization sensors[J].Sensors,2012,12(1):1100-1126.
[11]董明晓,郑康平.一种点云数据噪声点的随机滤波处理方法[J].中国图象图形学报:A辑,2004,9(2):245-248.
[12]樊彦国,杨洪旭,任启飞.一种改进的激光点云数据精简算法[J].激光与红外,2016,46(6):49-52.
[13]Liu H B,Wang Y Q,Jia Z Y,et al.Integration strategy of on-machine measurement(OMM)and numerical control(NC)machining for the large thin-walled parts with surface correlative constraint[J].The International Journal of Advanced Manufacturing Technology,2015,80(9-12):1721
[14]ISO 11562-1998,Geometric product specifications-Surface texture:Profile method-Metrological characteristics of phase correct filters[S].