Journal article
Characterization of closed-loop measurement accuracy in precision CNC milling
Robotics and computer-integrated manufacturing, v 22(4), pp 288-296
2006
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
This study investigates the closed-loop measurement error in computer numerical controlled (CNC) milling as they relate to the different inspection techniques. The on-line inspection of machining accuracy using a spindle probe has an inherent shortcoming because the same machine-produced parts are used for inspection. In order to use the spindle probe measurement as a means of correcting deviations in machining, the magnitude of measurement errors needs to be quantified. The empirical verification was made by conducting three sets of cutting experiments, followed by a design of experiment with three levels and three factors on a state-of-the-art CNC machining center. Three different material types and parameter settings were selected to simulate a diverse cutting condition. During the cutting, the cutting force and spindle vibration sensor signals were collected and a tool wear was recorded using a computer vision system. The bore tolerance was gauged by a spindle probe as well as a coordinate-measuring machine. The difference between the two measurements was defined as a closed-loop measurement error and the subsequent analysis was performed to determine the significant factors affecting the errors. The analysis results showed the potential of improving production efficiency and improved part quality.
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Details
- Title
- Characterization of closed-loop measurement accuracy in precision CNC milling
- Creators
- Yongjin Kwon - Applied Engineering Technology, Goodwin College of Professional Studies, Drexel University, Philadelphia, PA 19104, USATzu-Liang (Bill) Tseng - Department of Mechanical and Industrial Engineering, The University of Texas at El Paso, El Paso, TX 79968, USAYalcin Ertekin - Department of Engineering Technology, Tri-State University, Angola, IN 46703, USA
- Publication Details
- Robotics and computer-integrated manufacturing, v 22(4), pp 288-296
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Engineering Technology
- Web of Science ID
- WOS:000236648700002
- Scopus ID
- 2-s2.0-33644785765
- Other Identifier
- 991014878607004721
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InCites Highlights
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Computer Science, Interdisciplinary Applications
- Engineering, Manufacturing
- Robotics