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基于最小二乘法和经验模态分解法的SiN陶瓷球圆度逼近搜索算法研究

Research on the Roundness Approximation Search Algorithm of SiN Ceramic Balls Based on Least Square and EMD Methods.

作者信息

Sun Jian, Chen Wei, Yao Jinmei, Tian Zhonghao, Gao Longfei

机构信息

School of Mechanical Engineering, Shenyang Jianzhu University, Shenyang 110168, China.

National-Local Joint Engineering Laboratory of NC Machining Equipment and Technology of High-Grade Stone, Shenyang 110168, China.

出版信息

Materials (Basel). 2023 Mar 15;16(6):2351. doi: 10.3390/ma16062351.

Abstract

This paper aims to obtain the best shape accuracy evaluation algorithm for silicon nitride ceramic balls after lapping, and to extract the initial signal of the ball surface to improve the accuracy and reliability of the algorithm. The research methods of this paper are as follows: Firstly, an analysis of the uniform envelope of the lapping trajectory of ceramic balls is carried out to verify whether the lapping trajectory after processing can achieve a consistent envelope on the balls' surface. On this basis, it is found through experiments that the standard deviation SD between the roundness deviations of different contour sections is small. The value is maintained at approximately 0.03 μm, and the roundness deviation can approximately replace the spherical deviation. Then the different contour sections of the sphere are sampled by the Taylor roundness instrument. Considering the uncertainty, the sampling points of different contour sections are averaged and used as the original signal of the sphere surface. Then the EMD method is used to process the signal to be detected on the sphere surface. The initial signal of the sphere surface is extracted by judging whether the number of ripples c obtained by decomposition is greater than the critical value. Then the initial signal is used as the input value of the approximation algorithm. Through the roundness deviation approximation algorithm based on the least square method, the given minimum approximation domain range is finely processed. The divided fine points are used as the center of the circle to intersect with the initial signal. The maximum, minimum, and range of each circle are calculated to obtain the roundness error based on the minimum circumscribed circle, the maximum inscribed circle, and the minimum region method. Finally, the calculated values are compared with those obtained by the traditional algorithm. The experimental results of this paper show that the algorithm is consistent with the roundness error measured by the instrument, compared with the mainstream evaluation criteria. In summary, the conclusions can be drawn as follows: Through a large number of experimental cases and comparative experiments, the algorithm has high accuracy and reliability. The research results of this paper have essential reference significance for accurately evaluating the shape accuracy of ceramic balls in actual production.

摘要

本文旨在获得氮化硅陶瓷球研磨后的最佳形状精度评估算法,并提取球表面的初始信号,以提高算法的准确性和可靠性。本文的研究方法如下:首先,对陶瓷球研磨轨迹的均匀包络进行分析,以验证加工后的研磨轨迹在球表面是否能实现一致的包络。在此基础上,通过实验发现不同轮廓截面的圆度偏差之间的标准偏差SD较小。该值保持在约0.03μm,圆度偏差可近似替代球面偏差。然后用泰勒圆度仪对球体的不同轮廓截面进行采样。考虑到不确定性,对不同轮廓截面的采样点进行平均,并将其作为球体表面的原始信号。然后采用EMD方法对球体表面待检测信号进行处理。通过判断分解得到的波纹数c是否大于临界值来提取球体表面的初始信号。然后将初始信号作为逼近算法的输入值。通过基于最小二乘法的圆度偏差逼近算法,对给定的最小逼近域范围进行精细处理。将划分后的细点作为圆心与初始信号相交。计算每个圆的最大值、最小值和范围,基于最小外接圆、最大内切圆和最小区域法得到圆度误差。最后,将计算值与传统算法得到的值进行比较。本文的实验结果表明,与主流评估标准相比,该算法与仪器测量的圆度误差一致。综上所述,可得出以下结论:通过大量实验案例和对比实验,该算法具有较高的准确性和可靠性。本文的研究成果对实际生产中准确评估陶瓷球的形状精度具有重要的参考意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2e99/10057613/66efb3f10b8e/materials-16-02351-g001.jpg

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