Three dimensional shape measurement of wear particle by iterative volume intersection

Hongkun Wu; Ruowei Li; Shilong Liu; Md Arifur Rahman; Sanchi Liu; Ngaiming Kwok; Zhongxiao Peng

doi:10.1117/12.2304561

10 April 2018 Three dimensional shape measurement of wear particle by iterative volume intersection

Hongkun Wu, Ruowei Li, Shilong Liu, Md Arifur Rahman, Sanchi Liu, Ngaiming Kwok, Zhongxiao Peng

Proceedings Volume 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017); 106153Q (2018) https://doi.org/10.1117/12.2304561
Event: Ninth International Conference on Graphic and Image Processing, 2017, Qingdao, China

Abstract

The morphology of wear particle is a fundamental indicator where wear oriented machine health can be assessed. Previous research proved that thorough measurement of the particle shape allows more reliable explanation of the occurred wear mechanism. However, most of current particle measurement techniques are focused on extraction of the two-dimensional (2-D) morphology, while other critical particle features including volume and thickness are not available. As a result, a three-dimensional (3-D) shape measurement method is developed to enable a more comprehensive particle feature description. The developed method is implemented in three steps: (1) particle profiles in multiple views are captured via a camera mounted above a micro fluid channel; (2) a preliminary reconstruction is accomplished by the shape-from-silhouette approach with the collected particle contours; (3) an iterative re-projection process follows to obtain the final 3-D measurement by minimizing the difference between the original and the re-projected contours. Results from real data are presented, demonstrating the feasibility of the proposed method.

Citation Download Citation

Hongkun Wu, Ruowei Li, Shilong Liu, Md Arifur Rahman, Sanchi Liu, Ngaiming Kwok, and Zhongxiao Peng "Three dimensional shape measurement of wear particle by iterative volume intersection", Proc. SPIE 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017), 106153Q (10 April 2018); https://doi.org/10.1117/12.2304561

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