摘要
着眼于通过采集到的三维点云数据来计算实体的特征参数,提出了一种基于横截面变化的自适应分层方法将点云模型分割切片,采用基于Delaunay三角化的曲线重建算法来将切片截面重构出轮廓线;提出了高精度的轮廓参数计算方法来识别和处理多轮廓截面,提取切片截面的面积和质心坐标,并累积计算出三维模型整体的特征参数。以汽车发动机曲轴的动平衡参数计算为实例,验证了算法的精确性和高效性,自适应分层算法在计算效率上的提升超过12%,最终各项参数的计算误差都在2%以内。
Focusing on the calculation of feature parameters through the point cloud of the model, an adaptive slicing method based on cross-section variation is proposed to segment the point cloud, and the curve reconstruction algorithm based on Delaunay triangulation is used to reconstruct the cross-sectional contour. A high-precision contour parameter calculation method is proposed to deal with multi-contour. The area and the centroid coordinates of the slice section was calculated, and the feature parameter of the whole model was calculated cumulatively. Taking the dynamic balance calculation of the crankshaft from an automobile engine as an example, the accuracy and efficiency of the method was verified, adaptive slicing algorithm improves the calculating efficiency over 12%, the final calculating errors of each parameter are within 2%.
作者
曾定邦
李俊杰
周雄辉
ZENG Ding-bang;LI Jun-jie;ZHOU Xiong-hui(National Die & Mold CAD Engineering Research Center, Shanghai Jiao Tong University , Shanghai 200030, China)
出处
《组合机床与自动化加工技术》
北大核心
2019年第10期1-5,9,共6页
Modular Machine Tool & Automatic Manufacturing Technique
关键词
三维点云
参数计算
自适应切片
轮廓重建
point cloud
parameter calculation
adaptive slicing
curve reconstruction
