Position-independent geometric error compensation of a non-orthogonal five-axis machine tool using a simplified algebraic algorithm

IF 1.9 3区 工程技术 Q3 ENGINEERING, MANUFACTURING
Shuang Ding, Xiao Zhang, Zhiwei Chen, Weiwei Wu
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引用次数: 0

Abstract

Geometric errors are the key error sources that affect the machining quality of a five-axis machine tool. In the case of a non-orthogonal five-axis machine tool (NOFAMT), the modelling and compensation of geometric errors can be quite complex. This paper proposes a simplified modelling algorithm to derive the analytical expressions for the position-independent geometric error (PIGE) compensation of a NOFAMT without generating higher-order error terms. First, the geometric error modelling was conducted based on the homogeneous transformation matrix (HTM). Then, algebraic expressions for PIGE compensation were obtained according to the actual inverse kinematics and a simplified algorithm. By using the simplified algorithm, the efficiency of deriving algebraic expressions for geometric error compensation can be greatly enhanced. The PIGE compensation’s numerical control (NC) codes can be directly computed using these algebraic expressions. Finally, the effectiveness and efficiency of the new algorithm were verified by numerical analysis and virtual machining. The detailed results were compared with those obtained using the differential method, and both sets of results showed the same trend.
非正交五轴机床位置无关几何误差补偿的简化代数算法
几何误差是影响五轴机床加工质量的主要误差源。在非正交五轴机床(NOFAMT)的情况下,几何误差的建模和补偿是相当复杂的。本文提出了一种简化的建模算法,在不产生高阶误差项的情况下推导出NOFAMT的位置无关几何误差补偿解析表达式。首先,基于齐次变换矩阵(HTM)进行几何误差建模;然后,根据实际的逆运动学和简化算法,得到了PIGE补偿的代数表达式。采用简化算法,可大大提高几何误差补偿代数表达式的推导效率。利用这些代数表达式可以直接计算出PIGE补偿的数控编码。最后,通过数值分析和虚拟加工验证了新算法的有效性和高效性。将详细结果与微分法的结果进行了比较,两组结果显示出相同的趋势。
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来源期刊
CiteScore
5.10
自引率
30.80%
发文量
167
审稿时长
5.1 months
期刊介绍: Manufacturing industries throughout the world are changing very rapidly. New concepts and methods are being developed and exploited to enable efficient and effective manufacturing. Existing manufacturing processes are being improved to meet the requirements of lean and agile manufacturing. The aim of the Journal of Engineering Manufacture is to provide a focus for these developments in engineering manufacture by publishing original papers and review papers covering technological and scientific research, developments and management implementation in manufacturing. This journal is also peer reviewed. Contributions are welcomed in the broad areas of manufacturing processes, manufacturing technology and factory automation, digital manufacturing, design and manufacturing systems including management relevant to engineering manufacture. Of particular interest at the present time would be papers concerned with digital manufacturing, metrology enabled manufacturing, smart factory, additive manufacturing and composites as well as specialist manufacturing fields like nanotechnology, sustainable & clean manufacturing and bio-manufacturing. Articles may be Research Papers, Reviews, Technical Notes, or Short Communications.
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