Research on CMM measurement planning and simulation system of integral leaf disc
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摘要: 针对整体叶盘结构复杂测量困难的特点,研发了一种基于OpenGL的虚拟仿真检测系统。该仿真系统建立了三坐标测量机和整体叶盘的三维实体模型,对整体叶盘测量路径进行规划,在均匀分布的基础上,提出了一种基于曲率的自适应采样方法,减少了测量点数目,实现了截面线上采样点自适应分布,并确定了每个测量区域的测头位姿。完成了整体叶盘的测量规划以及测量过程的仿真。
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关键词:
- 三坐标测量机 /
- 整体叶盘 /
- 自适应采样算法 /
- OpenGL虚拟仿真
Abstract: In this paper, a virtual simulation detection system based on OpenGL is developed for the complex and difficult measurement of the whole bladed disk structure. The three coordinate measuring machine simulation system is established and the overall semal three-dimensional entity model, on the whole semal measurement path planning, on the basis of uniform distribution, this paper proposes a adaptive sampling method based on curvature, reduced the number of measuring point, has realized the online adaptive sampling point distribution, and to determine the position of each measurement area of the head. The measurement planning and simulation of the whole bladed disk are completed.-
Key words:
- CMM /
- integral leaf disc /
- adaptive sampling algorithm /
- OpenGL virtual simulation
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图 14 测头补偿误差图[19]
表 1 部分控制点坐标
控制点 X Y Z 1 65.317 392 35 25.516 815 48 20.001 307 13 2 64.894 855 02 25.782 372 8 20.423 866 81 3 64.744 859 93 25.991 242 38 20.573 817 19 4 63.552 491 37 28.976 123 78 21.766 200 66 5 58.180 324 73 42.451 478 54 27.138 359 84 6 57.778 947 06 43.387 804 18 27.539 737 52 7 57.173 870 5 44.782 422 48 28.144 791 72 8 51.073 536 28 72.125 345 47 34.245 207 91 9 52.344 270 05 69.348 774 85 32.974 466 68 10 47.350 972 89 79.522 617 16 37.967 816 11 41.783 943 77 74.363 268 91 43.534 725 9 12 46.951 748 43 80.255 784 09 38.367 055 36 表 2 3种采样方法拟合曲线结果对比
等弧长法 等弦高法 本文采样法 RMSE 7.563 5.234 4.703 R-Square 0.947 5 0.992 2 0.997 3 -
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