This paper proposes a comprehensive quality prediction framework for multistage machining processes, connecting engineering design with the activities of quality modeling, variation propagation modeling and calculation, dimensional variation evaluation, dimensional variation analysis, and quality feedback. Presented is an integrated information model utilizing a hybrid (feature/point-based) dimensional accuracy and variation quality modeling approach that incorporates Monte Carlo simulation, variation propagation, and regression modeling algorithms. Two important variations (kinematic and static) for the workpiece, machine tool, fixture, and machining processes are considered. The objective of the framework is to support the development of a quality prediction and analysis software tool that is efficient in predicting part dimensional quality in a multistage machining system (serial, parallel, or hybrid) from station level to system level.
Skip Nav Destination
Article navigation
December 2007
Technical Papers
A Quality Prediction Framework for Multistage Machining Processes Driven by an Engineering Model and Variation Propagation Model
Jianming Li,
Jianming Li
NSF Engineering Research Center for Reconfigurable Manufacturing Systems,
The University of Michigan
, Ann Arbor, MI 48109
Search for other works by this author on:
Theodor Freiheit,
Theodor Freiheit
Department of Mechanical and Manufacturing Engineering,
University of Calgary
, Calgary, Alberta, T2N1N4, Canada
Search for other works by this author on:
S. Jack Hu,
S. Jack Hu
NSF Engineering Research Center for Reconfigurable Manufacturing Systems,
The University of Michigan
, Ann Arbor, MI 48109
Search for other works by this author on:
Yoram Koren
Yoram Koren
NSF Engineering Research Center for Reconfigurable Manufacturing Systems,
The University of Michigan
, Ann Arbor, MI 48109
Search for other works by this author on:
Jianming Li
NSF Engineering Research Center for Reconfigurable Manufacturing Systems,
The University of Michigan
, Ann Arbor, MI 48109
Theodor Freiheit
Department of Mechanical and Manufacturing Engineering,
University of Calgary
, Calgary, Alberta, T2N1N4, Canada
S. Jack Hu
NSF Engineering Research Center for Reconfigurable Manufacturing Systems,
The University of Michigan
, Ann Arbor, MI 48109
Yoram Koren
NSF Engineering Research Center for Reconfigurable Manufacturing Systems,
The University of Michigan
, Ann Arbor, MI 48109J. Manuf. Sci. Eng. Dec 2007, 129(6): 1088-1100 (13 pages)
Published Online: April 9, 2007
Article history
Received:
May 17, 2005
Revised:
April 9, 2007
Citation
Li, J., Freiheit, T., Jack Hu, S., and Koren, Y. (April 9, 2007). "A Quality Prediction Framework for Multistage Machining Processes Driven by an Engineering Model and Variation Propagation Model." ASME. J. Manuf. Sci. Eng. December 2007; 129(6): 1088–1100. https://doi.org/10.1115/1.2752520
Download citation file:
Get Email Alerts
In Memoriam: Kuo King Wang Memorial Tribute
J. Manuf. Sci. Eng (June 2024)
Hole Edge Metrology and Inspection by Edge Diffractometry
J. Manuf. Sci. Eng
Related Articles
Generalized Kinematic Modeling of Reconfigurable Machine Tools
J. Mech. Des (March,2002)
Multi-Operational Machining Processes Modeling for Sequential Root
Cause Identification and Measurement Reduction
J. Manuf. Sci. Eng (August,2005)
Design of Reconfigurable Machine Tools
J. Manuf. Sci. Eng (May,2002)
Boundary Conformed Toolpath Generation via Laplace Based Parametric Redistribution Method
J. Manuf. Sci. Eng (May,2004)
Related Proceedings Papers
Related Chapters
Development of Portable Facing Machine Tool for Machining of Tube Sheet and Shell of a Heat Exchanger
International Conference on Instrumentation, Measurement, Circuits and Systems (ICIMCS 2011)
Modeling of Cutting Force in Vibration-Assisted Machining
Vibration Assisted Machining: Theory, Modelling and Applications
Finite Element Modeling and Analysis of Vibration-Assisted Machining
Vibration Assisted Machining: Theory, Modelling and Applications