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首页> 外文期刊>International Journal of Machine Tools & Manufacture: Design, research and application >Geometric errors identification considering rigid-body motion constraint for rotary axis of multi-axis machine tool using a tracking interferometer
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Geometric errors identification considering rigid-body motion constraint for rotary axis of multi-axis machine tool using a tracking interferometer

机译:考虑使用跟踪干涉仪考虑多轴机床旋转轴的刚体运动约束的几何误差识别

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摘要

The measurement and identification of the four position-independent geometric errors (PIGEs) and six position-dependent geometric errors (PDGEs) in the rotary axis are necessary to reduce their contributions to the overall machining errors of a multi-axis machine tool. In this paper, a new geometric error identification method using a tracking interferometer is presented by considering the rigid-body motion constraint in multilateration. The rigid-body motion constraint is introduced to establish a new coordinate calculation model for the measurement points, and an identification process is presented to separately identify the PIGEs and PDGEs by deriving identification models based on established geometric error models. The main novelty of the proposed method lies in the consideration of the rigid-body motion constraint, which makes the identification more robust against random factors. Monte Carlo simulations and verifying experiments were performed for validation. The results show that the PIGEs and PDGEs in the rotary axis can be successfully separated and identified by the new method. Improved identification accuracy compared with the traditional method is achieved. The maximum angular positioning error was reduced by 84% after compensation. A lower uncertainty in the identified errors compared with those obtained by the traditional method and instrument software is achieved. The proposed method is validated by comparing the identification results with those obtained by the instrument software and laser interferometers.
机译:需要在旋转轴上的四个立式几何误差(灰质)和六个位置依赖性几何误差(Pdges)的测量和识别是为了降低对多轴机床的整体加工误差的贡献。本文通过考虑多边的刚体运动约束,提出了一种使用跟踪干涉仪的新几何误差识别方法。引入刚体运动约束以建立用于测量点的新坐标计算模型,并且呈现识别过程以通过基于已建立的几何误差模型导出识别模型来单独识别灰饼和PDGE。所提出的方法的主要新颖性在于考虑刚体运动约束,这使得识别对随机因子更加坚固。 Monte Carlo模拟和验证实验进行了验证。结果表明,通过新方法可以成功分离和识别旋转轴中的灰质和凹陷。与传统方法相比,改善了识别准确度。补偿后,最大角度定位误差减少了84%。与通过传统方法和仪器软件获得的那些相比,所识别的误差的不确定性较低。通过将识别结果与由仪器软件和激光干涉仪获得的那些进行比较来验证所提出的方法。

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