IOE OpenIR  > 质量处(质检中心)
Study of improvement of measurement precision for roundness measuring instrument
Song, Kang1; Liao, Jun Bi1; Lin, Chang Qing2; Cao, Xue Dong2; Yu, Yang1; Ji, Rui1
Source PublicationApplied Mechanics and Materials: Advances in Measurements and Information Technologies
Volume530-531Issue:1Pages:117-126
2014
Language英语
ISSN16609336
DOI10.4028/www.scientific.net/AMM.530-531.117
Indexed ByEI
Subtype期刊论文
Abstract

Based on the requirement of small errors in measuring roundness (cylindricity) error, a leveling methodology which using a dual-point vertical layout has been put forward and analyzed. According to the direction cosine of the axis of workpiece, the amount of leveling has been defined and calculated, which overcomes the problem brought by manual adjustment technology and forms theoretical bases of fast, accurate leveling and high precise measurement. The assessment of roundness (cylindricity) error is to search for a center (cylinder axis) which satisfies the minimum condition. Due to the reliance of initial solutions and relative slowness in terms of convergence precision and convergence rate when using Nelder-Mead simplex method, a combinative method of Quasi-Newton and N-M simplex method has been proposed which achieves a fast, accurate search for global optimums. With the proof of the simulation of classical testing functions using Matlab and the measured data, the convergence rate and precision will be enhanced effectively has been certified with the combination of both methods mentioned above which ensuring and improving the measuring precision of workpiece. © (2014) Trans Tech Publications, Switzerland.;Based on the requirement of small errors in measuring roundness (cylindricity) error, a leveling methodology which using a dual-point vertical layout has been put forward and analyzed. According to the direction cosine of the axis of workpiece, the amount of leveling has been defined and calculated, which overcomes the problem brought by manual adjustment technology and forms theoretical bases of fast, accurate leveling and high precise measurement. The assessment of roundness (cylindricity) error is to search for a center (cylinder axis) which satisfies the minimum condition. Due to the reliance of initial solutions and relative slowness in terms of convergence precision and convergence rate when using Nelder-Mead simplex method, a combinative method of Quasi-Newton and N-M simplex method has been proposed which achieves a fast, accurate search for global optimums. With the proof of the simulation of classical testing functions using Matlab and the measured data, the convergence rate and precision will be enhanced effectively has been certified with the combination of both methods mentioned above which ensuring and improving the measuring precision of workpiece. © (2014) Trans Tech Publications, Switzerland.

Citation statistics
Document Type期刊论文
Identifierhttp://ir.ioe.ac.cn/handle/181551/7927
Collection质量处(质检中心)
Affiliation1.Technology and Instruments for Measuring and Control Dept, School of Manufacturing Science and Engineering, Sichuan University, Chengdu, 610065, China
2.Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu, 610209, China
Recommended Citation
GB/T 7714
Song, Kang,Liao, Jun Bi,Lin, Chang Qing,et al. Study of improvement of measurement precision for roundness measuring instrument[J]. Applied Mechanics and Materials: Advances in Measurements and Information Technologies,2014,530-531(1):117-126.
APA Song, Kang,Liao, Jun Bi,Lin, Chang Qing,Cao, Xue Dong,Yu, Yang,&Ji, Rui.(2014).Study of improvement of measurement precision for roundness measuring instrument.Applied Mechanics and Materials: Advances in Measurements and Information Technologies,530-531(1),117-126.
MLA Song, Kang,et al."Study of improvement of measurement precision for roundness measuring instrument".Applied Mechanics and Materials: Advances in Measurements and Information Technologies 530-531.1(2014):117-126.
Files in This Item:
File Name/Size DocType Version Access License
2014-2177.pdf(434KB)期刊论文作者接受稿开放获取CC BY-NC-SAApplication Full Text
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Song, Kang]'s Articles
[Liao, Jun Bi]'s Articles
[Lin, Chang Qing]'s Articles
Baidu academic
Similar articles in Baidu academic
[Song, Kang]'s Articles
[Liao, Jun Bi]'s Articles
[Lin, Chang Qing]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Song, Kang]'s Articles
[Liao, Jun Bi]'s Articles
[Lin, Chang Qing]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.