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The Use of 3D Laser Scanners in Statistical Process Control
Technical Paper
2010-01-1864
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
The emphasis placed on statistical process control over the past few decades has significantly aided manufacturers in measuring and monitoring dimensional parameters of production parts, and inferring process behavior from control charting. However, current manufacturing quality control methods fail to incorporate technologically innovative measurement solutions and rely on traditional coordinate measuring machines and laser point measurements. Based on the current trend, three-dimensional laser scanning seems to be the future of manufacturing measurement systems, and has already achieved considerable success in providing one-to-one comparisons between as-built products and original computer aided design (CAD) models via point cloud measurements. However, these methods only provide product-by-product information, and fail to provide any information on the state of the manufacturing process. This paper presents a method for using point cloud data attained from these scanners towards statistical process control (SPC), specifically in monitoring complex surface geometries seen in manufactured parts. In addition, research and application opportunities are highlighted for using this novel technology in statistical process control.
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Citation
Megahed, F., Wells, L., and Camelio, J., "The Use of 3D Laser Scanners in Statistical Process Control," SAE Technical Paper 2010-01-1864, 2010, https://doi.org/10.4271/2010-01-1864.Also In
References
- Montgomery, D. C. “Introduction to Statistical Quality Control” John Wiley & Sons, Inc. New Jersey 2008
- Woodall, W. H. Spitzner, D. J. Montgomery, D. C. Gupta, S. “Using Control Charts to Monitor Process and Product Quality Profiles,” Journal of Quality Technology 36 309 320 2004
- Feng, Q. Kapur, K. C. “Quality Engineering: Control, Design and Optimization,” Misra, K. B. Handbook of Performability Engineering Springer-Verlag London 2008
- Alwan, L. C. Roberts, H. V. “Time-Series Modeling for Statistical Process Control,” Journal of Business and Economic Statistics 6 87 95 1988
- Kim, K. Mahmoud, M. A. Woodall, W. H. “On the Monitoring of Linear Profiles,” Journal of Quality Technology 35 317 328 2003
- Woodall, W. H. “Current Research on Profile Monitoring,” Producão 17 420 425 2007
- Yoshida, H. Toriwaki, J. “Fundamentals of Three-Dimensional Digital Image Processing” Springer Dordrecht 2009
- Zussman, E. Schuler, H. Seliger, G. “Analysis of the Geometrical Feature Detectability Constraints for Laser-Scanner Sensor Planning,” The International Journal of Advanced Manufacturing Technology 9 56 64 1994
- Martinez, S. Cuesta, E. Barreiro, J. Alvarez, B. “Analysis of Laser Scanning and Strategies for Dimensional and Geometrical Control” The International Journal of Advanced Manufacturing Technology 46 621 629 2010
- Várady, T. Martin, R. R. Cox, J. “Reverse Engineering of Geometric Models--an Introduction,” Computer-Aided Design 29 4 255 268 1997
- Hisao, S-W. Chuang, J. C. “A Reverse Engineering Based Approach for Product Form Design” Design Studies 24 2 155 171 2003
- Mohaghegh, K. Sadeghi, M. H. Abdullah, A. “Reverse Engineering of Turbine Blades Based on Design Intent,” The International Journal of Advanced Manufacturing Technology 32 9-10 1009 1020 2007
- Shi, Q. Xi, N. Spagnuluo, C. “A Feedback Design to a CAD-Guided Area Sensor Planning System for Automated 3D Shape Inspection,” Computer-Aided Design & Applications 4 209 218 2007
- Shi, Q. Xi, N. “Automated Data Processing for a Rapid 3D Surface Inspection System,” ICRA-08 USA May 19 23 2008
- Mohib, A. Azab, A. Elmaragy, H. “Feature-Based Hybrid Inspection Planning: A Mathematical Programming Approach,” The International Journal of Computer Integrated Manufacturing 22 1 13 29 2009
- Reinhart, G. Tekouo, W. “Automatic Programming of Robot-Mounted 3D Optical Scanning Devices to Easily Measure Parts in High-Variant Assembly,” CIRP Annals - Manufacturing Technology 58 1 25 28 2009
- NIST/SEMATECH 2003 e-Handbook of Statistical Methods http://www.itl.nist.gov/div898/handbook/
- Woodall, W. H. “Controversies and Contradictions in Statistical Process Control” Journal of Quality Technology 32 341 378 2000
- Wang, K. Tsung, F. “Using Profile Monitoring Techniques for a Data-Rich Environment with Huge Sample Size,” Quality and Reliability Engineering International 21 677 688 2005
- Megahed, F. M. Camelio, J. A. “Real-Time Fault Detection in Manufacturing Environments Using Face Recognition Techniques,” Journal of Intelligent Manufacturing 2010 10.1007/s10845-010-0378-3
- Jones, M. C. Rice, J. A. “Displaying the Important Features of Large Collections of Similar Curves,” American Statistician 46 140 145 1992
- Steiner, S. H. Jones, M. “Risk-Adjusted Survival Time Monitoring with an Updating Exponentially Weighted Moving Average (EWMA) Control Chart,” Statistics in Medicine 29 4 444 454 2009
- Colosimo, B. M. Mammarella, F. Petro, S. “Quality Control of Manufactured Surfaces,” Frontiers in Statistical Quality Control 9 Lenz, H. J. Wilrich, P. -Th.
- Sonesson, C. “A CUSUM Framework for Detection of Space-time Clusters Using Scan Statistics,” Statistics in Medicine 26 4770 4789 2007
- Rogerson, P. Yamada, I. “Statistical Detection and Surveillance of Geographic Clusters” Chapman & Hall/CRC Florida 2009
- Jiang, W. Han, S. W. Tsui, K-L. Woodall, W. H. “Spatiotemporal Surveillance in the Presence of Spatial Correlation,” Statistics in Medicine 2010