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

机译:复杂曲面零件相交的计算算法及其应用

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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:运用快速原型制造过程的原理,利用点云曲面模型的切片评估方法,提出了一种复杂的曲面零件相交计算算法。使用color属性校准表面的交点,并通过使用分层和切片的尺寸缩减来简化3D点云表面模型。用二进制光栅图像代替点云数据,将三维点的距离计算转换为色图的布尔运算,大大降低了计算复杂度和可变性。通过迭代细化光栅,逐步获得表面的相交特征点。点云模型的实验结果表明,该算法有效,简单,稳定,可靠,适用于制造中的拼合,排样及焊接路径规划,进一步说明了曲面相交算法的广泛适应性。

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