2010Unpublished venueRequires access

Method for Roundness Error Evaluation Based on Geometry Optimization

Mingde Duan

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Abstract

According to the characteristics of roundness error,a new algorithm of evaluating roundness error based on geometry optimization is presented.The measured circle sampling points in rectangular spatial coordinates and the minimum zone circle (MZC),the minimum circumscribed circle (MCC) and the maximum inscribed circle(MIC) errors can be evaluated simultaneously in the error evaluating method.The principle and step of using the algorithm to solve the roundness error is described in detail and the mathematical formula and program flowchart are given.The optimization method and linearization method and uniform sampling are not adopted in the algorithm.This algorithm need not satisfy assumed small error or small deviation and only calls the formula of distance between point to point repeatedly.The principle of the algorithm is that a hexagon is collocated on the basis of the initial reference point,the radius value of all the measured points are calculated by regarding each vertex of the hexagon as the ideal center,the roundness error value of corresponding evaluation method (MZC,MCC and MIC) are obtained through comparison,judgment and repeated arrangement of hexagon.The experimental results show that the roundness error can be evaluated effectively and exactly by using this algorithm.

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What this paper is about

According to the characteristics of roundness error,a new algorithm of evaluating roundness error based on geometry optimization is presented.The measured circle sampling points in rectangular spatial coordinates and the minimum zone circle (MZC),the minimum circumscribed circle (MCC) and the maximum inscribed circle(MIC) errors can be evaluated simultaneously in the error evaluating method.The principle and step of using the algorithm to solve the roundness error is described in detail and the mathematical formula and program flowchart are given.The optimization method and linearization method and uniform sampling are not adopted in the algorithm.This algorithm need not satisfy assumed small error or small deviation and only calls the formula of distance between point to point repeatedly.The principle of the algorithm is that a hexagon is collocated on the basis of the initial reference point,the radius value of all the measured points are calculated by regarding each vertex of the hexagon as the ideal center,the roundness error value of corresponding evaluation method (MZC,MCC and MIC) are obtained through comparison,judgment and repeated arrangement of hexagon.The experimental results show that the roundness error can be evaluated effectively and exactly by using this algorithm.

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Available abstract

According to the characteristics of roundness error,a new algorithm of evaluating roundness error based on geometry optimization is presented.The measured circle sampling points in rectangular spatial coordinates and the minimum zone circle (MZC),the minimum circumscribed circle (MCC) and the maximum inscribed circle(MIC) errors can be evaluated simultaneously in the error evaluating method.The principle and step of using the algorithm to solve the roundness error is described in detail and the mathematical formula and program flowchart are given.The optimization method and linearization method and uniform sampling are not adopted in the algorithm.This algorithm need not satisfy assumed small error or small deviation and only calls the formula of distance between point to point repeatedly.The principle of the algorithm is that a hexagon is collocated on the basis of the initial reference point,the radius value of all the measured points are calculated by regarding each vertex of the hexagon as the ideal center,the roundness error value of corresponding evaluation method (MZC,MCC and MIC) are obtained through comparison,judgment and repeated arrangement of hexagon.The experimental results show that the roundness error can be evaluated effectively and exactly by using this algorithm.

Key concepts: Incircle and excircles of a triangle, Mathematics, Algorithm, Roundness (object), Geometry, Point (geometry)

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