|
基于五轴加工中心的涡轮叶片在机测量准确定位方法研究
|
Abstract:
以航空发动机涡轮叶片为研究对象,针对五轴在机测量平台在叶片旋转后测量坐标系偏移问题,提出了一种基于ICP算法的配准定位方法,并基于该算法建立了配准目标函数。为了提高定位精度,针对涡轮叶片加工精度在区域分布不均问题,依据曲率划分定位区域,选取曲率较小区域用于定位。基于涡轮叶片的配准结果,给出了叶片定位中各轴向的定位误差和综合定位误差的计算公式,并提出迭代测量、二次定位的方法提高定位精度,减小定位误差。通过实际加工叶片配准定位,定位精度在15微米左右,证明该方案的有效性。
Taking the aeroengine turbine blade as the research object, aiming at the measurement coordinate system offset of the five-axis on-board measurement platform after the blade rotates, a registration and positioning method based on ICP algorithm is proposed, and the registration objective function is established based on this algorithm. In order to improve the positioning accuracy, aiming at the uneven distribution of turbine blade machining accuracy in the region, the positioning region is divided according to the curvature, and the region with small curvature is selected for positioning. Based on the registration results of turbine blades, the calculation formulas of axial positioning error and comprehensive positioning error in blade positioning are given, and the methods of iterative measurement and secondary positioning are proposed to improve the positioning accuracy and reduce the positioning error. Through the actual processing of blade registration and positioning, the positioning accuracy is about 15 microns, which proves the effectiveness of the scheme.
[1] | 吴雁, 吕博鑫, 吕仕强, 郑刚. 整体叶轮系零件制造精度关键技术研究综述[J]. 现代制造工程, 2017(1): 151-156. |
[2] | 方瑞, 陈岳坪, 谢梦敏, 等. 数控机床在线检测系统的定位误差补偿实验研究[J]. 机床与液压, 2020(3): 70-73. |
[3] | 于海祥. 基于MLP神经网络的数控铣床几何误差补偿方法[J]. 机械设计与制造, 2017(8): 140-143. |
[4] | 郭前建, 赵国勇, 程祥, 等. 双转台五轴机床空间误差补偿技术研究[J]. 机械工程学报, 2016, 52(13): 6. |
[5] | 蔺小军, 单晨伟, 王增强, 史耀耀. 航空发动机叶片型面三坐标测量机测量技术[J]. 计算机集成制造系统, 2012, 18(1): 125-131. |
[6] | Zhang, S.G., Ajma, A., Woottona, L.J. and Chisholma, A. (2000) A Feature-Based Inspection Process Planning System for Co-Ordinate Measuring Machine (CMM). Journal of Materials Processing Technology, 107, 111-118.
https://doi.org/10.1016/S0924-0136(00)00726-3 |
[7] | 王晓飞. 复杂曲面测量规划及定位技术研究[D]: [博士学位论文]. 天津: 天津大学, 2014. |
[8] | 李涤尘, 鲁中良, 田小永, 张航, 杨春成, 曹毅, 苗恺. 增材制造——面向航空航天制造的变革性技术[J/OL]. 航空学报. http://kns.cnki.net/kcms/detail/11.1929.V.20210429.1424.042.html, 2021-04-29. |
[9] | 金元浩, 房勇, 卢焱. 基于K-NN最邻近点算法的因子提取方法及量化策略研究[J]. 数学的实践与认识, 2021, 51(19): 106-119. |
[10] | 彭茂林, 杨自春, 曹跃云, 初珠立. 基于贝赛尔曲线和粒子群算法的涡轮叶片型线参数化建模[J]. 中国电机工程学报, 2012, 32(32): 101-108, 前插16. |