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Fast extraction of cutter engagement features by using the parallel processing function of a GPU

机译:通过使用GPU的并行处理功能快速提取刀具接合特征

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For an accurate analysis of the cutting force, the cutter engagement feature (CEF) representing the contact area between the cutter and workpiece must be extracted for each small feed motion of the cutter. In this paper, we propose a novel algorithm for accelerating the CEF computation by using the parallel processing capability of a graphics processing unit. In a milling simulation, the results of a prior cutting operation affect the subsequent CEF computations. This dependency on the cutting sequence can be ignored in a cutting operation along a linear trajectory. Based on this consideration, a new parallel CEF computation algorithm is developed. Our cutting simulation system using this algorithm can compute the CEF at 100,000 cutting positions in a few seconds.
机译:为了精确地分析切削力,必须针对刀具的每次小进给运动提取代表刀具与工件之间接触区域的刀具接合特征(CEF)。在本文中,我们提出了一种通过使用图形处理单元的并行处理能力来加速CE​​F计算的新算法。在铣削模拟中,先前切割操作的结果会影响后续的CEF计算。在沿着线性轨迹的切割操作中,可以忽略对切割顺序的这种依赖性。基于此考虑,开发了一种新的并行CEF计算算法。我们的使用该算法的切割模拟系统可以在几秒钟内计算100,000个切割位置的CEF。

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