Image mosaic coupled detection of grinding wheel topographies
by Shengui Huang; Nian Duan; Xiuyu Chen; Yiqing Yu; Xipeng Xu
International Journal of Abrasive Technology (IJAT), Vol. 6, No. 2, 2013

Abstract: The present study was undertaken to resolve the contradiction between visual field and resolution while detecting the topographies of a grinding wheel. An image mosaic method was combined with the traditional computer vision detection. Based on three main procedures of the mosaic method, the topographies of a brazed grinding wheel were accurately and effectively reconstructed. The reconstructed topographies of the wheel were found to be able to reflect the changes in the wear of the grinding wheel before and after grinding. The protrusion height of the diamond grains, obtained from the wheel topographies, can provide useful information for the quantitative evaluation of the performance of the diamond wheel in grinding.

Online publication date: Sat, 05-Jul-2014

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Abrasive Technology (IJAT):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email