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An Algorithm for Computing Intersection of Complex Surface Parts and Its Application

机译:一种计算复杂曲面零件交点及其应用的算法

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Applying the principle of rapid prototyping manufacturing process, using the method of slice evaluation of point cloud surface model, a complex surface parts intersection computing algorithm is proposed. The intersection of the surfaces are calibrated with the color attribute, and the 3D point cloud surface model is simplified by dimension reduction using layering and slicing. Binary raster image is used to replace the point cloud data, and the distance computing of the three-dimensional point is converted into a Boolean operation of the color map, which greatly reduces the computational complexity and variability. Through the iterative refinement of the grating grids, the intersection feature points of the surface are obtained step by step. The experimental results of point cloud model depict that the algorithm is effective, simple, stable and reliable, and it is applied to the flattening and nesting, and welding path planning in manufacturing, which further explains the wide adaptability of surface intersection algorithm.
机译:利用点云表面模型的切片评估方法应用快速原型制造工艺的原理,提出了一种复杂的表面零件交叉计算算法。表面的交叉点用颜色属性校准,并且使用分层和切片的尺寸减少简化了3D点云表面模型。二进制光栅图像用于更换点云数据,三维点的距离计算被转换为颜色图的布尔操作,这大大降低了计算复杂性和可变性。通过光栅栅格的迭代细化,逐步获得表面的交叉特征点。点云模型的实验结果描绘了该算法有效,简单,稳定可靠,它应用于扁平化和嵌套,以及制造中的焊接路径规划,进一步解释了表面交叉算法的广泛适应性。

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