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在数控机床加工零件过程中,由于各种干扰的影响和机床本身物理精度的限制,难于使加工的刀具移到理想的坐标位置,因此刀具的补偿方法在数控机床加工中具有很重要的作用;刀具补偿的方法关键在于确定编程的刀具坐标位置与所要求的工作点坐标的关系。建立这种关系需要复杂的数学模型,本文通过引入模糊神经网络来逼近这种复杂的难于确定的数学模型,为工人在数控加工过程中矫正刀具的工作点坐标提供有效的依据。并从理论和实践作可行性分析。
Due to the influence of various disturbances and the physical precision of the machine tool itself, it is difficult to move the tool to the ideal coordinate position in the process of machining parts of the CNC machine tool. Therefore, the tool compensation method plays an important role in the machining of the CNC machine tool. The key to the tool compensation method is to determine the relationship between the programmed tool coordinate position and the required working point coordinate. To establish this kind of relationship requires complex mathematical models. In this paper, the introduction of fuzzy neural network to approximate this complex mathematical model is difficult to determine, and provide an effective basis for workers to correct the coordinates of the tool point during NC machining. And from the theory and practice for feasibility analysis.