Research on digital measurement error and rectification algorithm for mechanical parts

Zhi-ren Han (), Wen-xin Liang, Zhen Jia and Ke Wang
Additional contact information
Zhi-ren Han: Shenyang Aerospace University
Wen-xin Liang: Shenyang Aerospace University
Zhen Jia: Shenyang Aerospace University
Ke Wang: Shenyang Aerospace University

International Journal of System Assurance Engineering and Management, 2017, vol. 8, issue 4, No 7, 747-761

Abstract: Abstract Along with the development of digital manufacturing level, to eliminate digital measurement error becomes very important in the production and manufacturing process. In order to effectively eliminate measuring datum error, a novel algorithm for digital measurement error rectification is proposed. According to the principle of graphics transformation, a nonlinear objective function with constraints is developed. Through nonlinear programming, the optimal parameters are achieved in the feasible region, which are the theoretical adjustment basis for parts. Finally, an example using the rectification algorithm is presented in this paper and reveals that the rectification algorithm reduces the comprehensive deviation of measured data and has an impact on the production and measurement for mechanical parts.

Keywords: Measurement error; Measuring datum; Rectification algorithm; Translation and rotation transformation; Nonlinear programming; Comprehensive deviation (search for similar items in EconPapers)
Date: 2017
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s13198-017-0595-7 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:ijsaem:v:8:y:2017:i:4:d:10.1007_s13198-017-0595-7

Ordering information: This journal article can be ordered from
http://www.springer.com/engineering/journal/13198

DOI: 10.1007/s13198-017-0595-7

Access Statistics for this article

International Journal of System Assurance Engineering and Management is currently edited by P.K. Kapur, A.K. Verma and U. Kumar

More articles in International Journal of System Assurance Engineering and Management from Springer, The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().