Abstract
Five-axis CNC machining is an important component of the modern manufacture industry. The contour error caused by the imperfect servo system performance is one of the key sources of inaccuracy in five-axis CNC machining. In the research of contour error reduction, it is very important to show and compare contour errors with and without reduction method, but there is not a generally accepted method about that. In this paper, the shortcomings of typically used contour error visualization and evaluation indices are summarized, and a new attempt is provided. The positive and negative discriminant method is proposed to divide contour error into undercutting error and overcutting error. On that basis, the contour error versus the tool tip movement distance curve is presented as an improvement of the contour error visualization, and two new indices, the undercutting area and overcutting area, are proposed as supplements to contour error evaluation indices. In addition, the advantages of the proposed improved visualization and supplementary indices were verified using an S-shaped trajectory. The new visualization and evaluation indices can be widely used in the research of five-axis CNC machine tool, such as servo controller improvement, contour error predictive compensation, manufacture toolpath planning and so on.
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Funding
This work was supported by the National Major Science and Technology Projects of China (CN) (Grant No. 2017ZX04002001-002).
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Ding, Q., Ding, J., Wang, W., Du, L. (2022). Contour Error Visualization and Evaluation Indices for Five-Axis CNC Machine Tools. In: Duan, B., Umeda, K., Kim, Cw. (eds) Proceedings of the Eighth Asia International Symposium on Mechatronics. Lecture Notes in Electrical Engineering, vol 885. Springer, Singapore. https://doi.org/10.1007/978-981-19-1309-9_97
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DOI: https://doi.org/10.1007/978-981-19-1309-9_97
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