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Systematic errors identification in the structure of CNC machines due to elastic deformations

机译:弹性变形在数控机床结构中的系统错误识别

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Highly accurate and precise CNC machines are always required in modern manufacturing systems. Among them, the multi-axis milling machines which possess the X-Y-Z linear and A-B rotary motions plays a significant role in the aerospace industry. Geometric, cutting force and thermal errors are three main sources of error which affects the accuracy of CNC milling machines. This article presents a new methodology to identify systematic errors introduced due to the elastic deformations in the structure of CNC milling machines. Under maximum speed and feed, the theoretically measured thrust and torque for actual conditions is applied to identify the systematic errors in a real time drilling process. An FEM model is developed to predict the elastic deformations based on thrust force, material properties and actual operating conditions. The simulated systematic errors are validated through experimentation on a specially designed work piece. The identified systematic errors can compensated to achieve higher accuracy of milling machines. The results of this study are useful in CNC machining of aerostructures in particular.
机译:现代制造系统中始终需要高度精确的CNC机床。其中,具有X-Y-Z线性运动和A-B旋转运动的多轴铣床在航空航天工业中起着重要作用。几何误差,切削力误差和热误差是影响CNC铣床精度的三个主要误差源。本文提出了一种新的方法来识别由于数控铣床结构中的弹性变形而引起的系统误差。在最大速度和进给率的情况下,将根据实际条件在理论上测得的推力和扭矩用于识别实时钻孔过程中的系统误差。开发了一个有限元模型来基于推力,材料特性和实际操作条件来预测弹性变形。通过在特殊设计的工件上进行实验,可以验证模拟的系统误差。识别出的系统误差可以得到补偿,以实现铣床的更高精度。这项研究的结果特别适用于航空结构的CNC加工。

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