Roundness Error Evaluation Based on Hybrid Search Algorithm
The roundness error as an important geometric error directly affects the accuracy and performance of ma-chine fits,so it is particularly important to accurately assess the roundness error of parts due to various factors in the machi-ning of rotary-type parts.This paper proposes a hybrid method to accurately evaluate roundness error,which consists of two parts:area search algorithm and triangle search algorithm.The area search algorithm is used to conduct a global search of the area to find the quasi-circular center,and then the triangle search algorithm is used to conduct a fine search according to the constraints,and finally find the minimum inclusive area center to complete the roundness error evaluation.This method does not need to meet the assumption of small error and small deviation,and there is no requirement for sampling points and sampling strategy.The feasibility of the method is verified by simulation,and the results show that the method is more accu-rate than the PSO algorithm and the algorithm in the literature,and there is no model error and principle error,and there is no restriction on the distribution and number of sampling points,and the minimum inclusive area center can be found accu-rately.
roundness errorarea searchleast square methodminimum inclusion area
万方数据
维普
