Conference proceeding
Non-Contact Surface Roughness Measurement for Remote Quality Control
ASME 2010 International Manufacturing Science and Engineering Conference, v 1, pp 247-253
01 Jan 2010
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
This paper presents a new method of surface roughness measurement developed for use in a web-enabled production environment. This method employs an Internet-based vision system to measure and analyze the pattern of scattered light from a surface of an object to derive roughness parameters. The roughness parameters are obtained for a number of metal specimens which are machined to different roughnesses. A correlation curve is established between optical intensity and the corresponding average surface roughness. The quality measurement data is monitored through the web browser while surface roughness parameters are inspected using a machine vision system. This allows the system to operate over the Internet since the machine vision system is integrated with LabVIEW-based graphic user interface (GUI).
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Details
- Title
- Non-Contact Surface Roughness Measurement for Remote Quality Control
- Creators
- Richard Y. Chiou - Drexel UniversityYongjin (James) Kwon - Ajou UniversityYueh-Ting Yang - Drexel UniversityRobin Kizirian - Drexel UniversityTzu-Liang (Bill) Tseng - The University of Texas at El Paso
- Publication Details
- ASME 2010 International Manufacturing Science and Engineering Conference, v 1, pp 247-253
- Conference
- ASME 2010 International Manufacturing Science and Engineering Conference, Erie, Pennsylvania, USA, Oct. 12 - 15, 2010 (Erie, Pennsylvania, USA, 12 Oct 2010–15 Oct 2010)
- Publisher
- ASMEDC
- Number of pages
- 7
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Engineering Technology
- Web of Science ID
- WOS:000291337100032
- Scopus ID
- 2-s2.0-82455174864
- Other Identifier
- 991019170415104721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Engineering, Manufacturing