Liang Jintao, Wang Kaixin, Song Xiaotian, Han Xiaolan
School of Mechano-Electronic Engineering, Xidian University, Xi'an 710126, China.
College of Mechanical Engineering, Xi'an Shiyou University, Xi'an 710065, China.
Sensors (Basel). 2024 Oct 11;24(20):6554. doi: 10.3390/s24206554.
Dimensional and profile measurements of deep-hole parts are key processes both in manufacturing and product lifecycle management. Due to the particularity of the space conditions of deep-hole parts, the existing measurement instruments and methods exhibit some limitations. Based on the multi-axis, highly precise servo drive system, a novel measuring device is developed. The laser displacement sensors are fed by the flux-switching permanent magnet linear motor, and the part is rotated by the servo motor. On this basis, the assessment methods of roundness, straightness, and cylindricity are proposed by employing the least square method (LSM). Additionally, considering the axial center deviation between the sensors and the part, the rotating center coordinate is optimized by the gradient descent algorithm (GDM). Then, the measurement system is constructed and the experiment study is conducted. The results indicate favorable evaluation error of the LSM fitting and GDM iteration. Compared with the coordinate measuring machine (CMM), the measured results show good consistency. In the error analysis, the angle positioning error of measured point is less than 0.01°, and the axial positioning error is less than 0.05 mm. The proposed system and assessment method are regarded as a feasible and promising solution for deep-hole part measurements.
深孔零件的尺寸和轮廓测量是制造和产品生命周期管理中的关键工序。由于深孔零件空间条件的特殊性，现有的测量仪器和方法存在一定局限性。基于多轴高精度伺服驱动系统，研制了一种新型测量装置。激光位移传感器由磁通切换永磁直线电机驱动，零件由伺服电机带动旋转。在此基础上，采用最小二乘法（LSM）提出了圆度、直线度和圆柱度的评定方法。此外，考虑传感器与零件之间的轴向中心偏差，利用梯度下降算法（GDM）对旋转中心坐标进行优化。然后，构建测量系统并进行实验研究。结果表明，最小二乘法拟合和梯度下降算法迭代的评定误差良好。与坐标测量机（CMM）相比，测量结果具有良好的一致性。在误差分析中，测量点的角度定位误差小于0.01°，轴向定位误差小于0.05mm。所提出的系统和评定方法被认为是深孔零件测量的一种可行且有前景的解决方案。
