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Conversion CL data to NC data using an instinctive method for non-orthogonal table-type 5 axis machines

机译:将CL数据转换为NC数据使用非正交表型5轴机器的本能方法

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Since different types of 5-axis milling machines have their own unique rotation mechanisms, the solutions developed to generate numerical control (NC) data are traditionally targeted toward specific mechanisms and are obtained via specific methods, normally resulting in complex algorithms. In order to resolve this problem, this paper proposes an instinctive method to convert cutter location (CL) data to NC data for non-orthogonal table-type 5 axis machines. The rotational angles of the two rotational axes can be easily derived from the tool-orientation vector, and the coordinates of the three linear axes in the NC data can be easily derived from the rotational angles and coordinates of tool position. Even more, this method enables the development of a generic algorithm for the rotation mechanism of any 5-axis CNC milling machine.
机译:由于不同类型的5轴研磨机具有自己独特的旋转机制,因此开发生成数值控制(NC)数据的解决方案传统上朝向特定机制,通过特定方法获得,通常导致复杂的算法。为了解决这个问题,本文提出了一种本能的方法来将刀具位置(CL)数据转换为非正交表型5轴机器的NC数据。两个旋转轴的旋转角度可以容易地从刀具取向矢量衍生,并且NC数据中的三个线性轴的坐标可以容易地从旋转角度和工具位置的坐标衍生。甚至更多,该方法使得能够开发任何5轴CNC铣床的旋转机构的通用算法。

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