Self-adaptive grain recognition of diamond grinding wheel and its grains assessment

Changcai Cui; Lijun Zhou; Qing Yu; Hui Huang; Ruifang Ye

doi:10.1117/12.2035785

10 October 2013 Self-adaptive grain recognition of diamond grinding wheel and its grains assessment

Changcai Cui, Lijun Zhou, Qing Yu, Hui Huang, Ruifang Ye

Proceedings Volume 8916, Sixth International Symposium on Precision Mechanical Measurements; 89162H (2013) https://doi.org/10.1117/12.2035785
Event: Sixth International Symposium on Precision Mechanical Measurements, 2013, Guiyang, China

Abstract

An improved Canny operator based on the method of Maximum Classes Square Error is adopted to get a self-adaptive threshold for grain recognition. First, a grinding wheel surface was measured by using a vertical scanning white light interferometric (WLI) system and reconstructed with an improved centroid algorithm; then the grains were extracted using the proposed method based on the fact that the peak intensity difference (ΔI) between maximum and minimum intensities on interferometric curve from diamond is larger than that from bond due to different reflective characteristics of different materials; third the grain protrusion parameters are investigated for grinding performance analysis. The experiments proved that the proposed grain recognition method is effective and assessment parameters are useful for understanding grinding performance.

Citation Download Citation

Changcai Cui, Lijun Zhou, Qing Yu, Hui Huang, and Ruifang Ye "Self-adaptive grain recognition of diamond grinding wheel and its grains assessment", Proc. SPIE 8916, Sixth International Symposium on Precision Mechanical Measurements, 89162H (10 October 2013); https://doi.org/10.1117/12.2035785

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available