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A simple asymptotic search method for estimation of minimum zone sphericity error

机译:一种简单的渐近搜索方法,用于估计最小区域球体误差

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摘要

With the rapid development of micromachining technology, sphericity errors have become an important factor that determines product quality; thus, it is critical to establish an algorithm to estimate sphericity errors effectively and accurately. In this paper, an asymptotic search method based on the minimum zone sphere (MZS) is proposed to estimate sphericity errors. A least square sphere center is used as the initial reference center through establishing a search sphere model to gradually approach the MZS center. Then, a quasi-MZS center is determined. According to the definition and geometric structure of the minimum zone sphere, five control points dominating the homocentric spheres are searched. As a result, the MZS center and the sphericity error are obtained. Both simulation experiments and data from the literature are utilized to verify the feasibility and performance. The results indicate that the proposed method is reliable and can estimate sphericity errors efficiently and accurately.
机译:随着微机械线技术的快速发展,球形误差已成为决定产品质量的重要因素;因此,建立一种有效准确地估计球形误差至关重要。本文提出了一种基于最小区域球(MZ)的渐近搜索方法来估计球形误差。通过建立搜索球模型来逐渐接近MZS中心,将最小方形球体用作初始参考中心。然后,确定准mZS中心。根据最小区域球的定义和几何结构,搜索占主导地位的五个控制点。结果,获得MZS中心和球形误差。来自文献的模拟实验和数据都用于验证可行性和性能。结果表明,该方法可靠,可以有效准确地估计球形误差。

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