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Reverse algorithm for determining the number of cutting passes and cutting conditions in axial turning

机译:确定轴向车削切削次数和切削条件的反向算法

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摘要

To avoid production of low quality products and reduce unnecessary time wastage, algorithms for decision making are widely used in process planning. Usually decision of selecting cutting conditions (depth of cut, feed and cutting speed) is made by experience or using handbooks. Much effort during years was invested in finding optimizing algorithms for metal cutting processes. Algorithm given by G. Halevi does not include specific tool or machine for machining process and that is why it is called reverse algorithm. Taking in consideration boundary values of cutting conditions and their effects on surface roughness, algorithm finds maximum values of cutting conditions, giving preference to the feed rate and thus minimizing the number of cutting passes. Proposed algorithm was explained by data flow implemented in software package MATLAB and tested on the example of axial turning. The obtained results were compared to recommendations retrieved from Iscar’s catalog and show that algorithm is suitable for determining appropriate number of cutting passes and cutting conditions. This paper is a contribution to the automated algorithms for decision making in process planning.
机译:为了避免生产劣质产品并减少不必要的时间浪费,决策算法被广泛用于过程规划中。通常,选择切割条件(切割深度,进给和切割速度)是根据经验或使用手册来决定的。多年来,人们花费了大量精力来寻找用于金属切削工艺的优化算法。 G. Halevi给出的算法不包括用于加工过程的特定工具或机器,这就是为什么将其称为反向算法的原因。考虑到切削条件的边界值及其对表面粗糙度的影响,算法找到切削条件的最大值,优先考虑进给速度,从而最大程度地减少了切削次数。提出的算法通过在MATLAB软件包中实现的数据流进行了解释,并在轴向车削示例中进行了测试。将获得的结果与从Iscar的目录中检索到的建议进行比较,结果表明该算法适合确定适当的切削次数和切削条件。本文为过程规划中的决策自动化算法做出了贡献。

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