Adaptive adjustment method of intelligent industrial product dimension accuracy
Keke Yang
International Journal of Product Development, 2022, vol. 26, issue 1/2/3/4, 25-38
Abstract:
In order to overcome the problems of low precision and long time in the traditional method of adjusting the accuracy of external dimensions, this paper proposes an adaptive adjusting method for the accuracy of external dimensions of intelligent industrial products. The car model of industrial product dimension accuracy is constructed. After predicting and adjusting the parameters adaptively, the intelligent industrial product dimension error is detected, and the calculation process of dimension coefficient correction factor θ is determined. By describing the grinding process of industrial products, the residual vector in the adjustment process is determined to realise the adaptive adjustment of intelligent product dimension accuracy. The experimental results show that the adjustment time is only 1.5 s, and the relative error and absolute error are close to zero. The method in this paper can improve the accuracy and effect of dimension adjustment, and reduce the time consumption of industrial product dimension adjustment.
Keywords: CAR model; adjustment parameter; residual vector; correction factor. (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
http://www.inderscience.com/link.php?id=125326 (text/html)
Access to full text is restricted to subscribers.
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:ids:ijpdev:v:26:y:2022:i:1/2/3/4:p:25-38
Access Statistics for this article
More articles in International Journal of Product Development from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().