NDLI: Dimensional Tolerancing and Control in Molded Products

Content Provider	The American Society of Mechanical Engineers (ASME) Digital Collection
Author	Kazmer, David Manek, Kaushik Lotti, Cybele Rosario, E. S. Bretas Zhu, Liang
Copyright Year	2003
Abstract	Design and manufacturing of engineered products are subject to uncontrolled variation (noise) and unknown performance behavior and/or requirements (uncertainty). Skilled practitioners currently utilize robust design and Six Sigma techniques for tolerance specification and parametric optimization to control the mean and variance of the performance characteristics. Even after several design iterations, however, the final product and process design may not be optimal and result in unacceptable performance or quality levels. This paper explores the validity of current Six Sigma practices for dimensional tolerancing and process optimization in the manufacturing of an injection molded plastic part. Specifically, the use of process capability indices and aggregate performance measures are discussed relative to the shrinkage behavior of isotactic polypropylene, i-PP. The results indicate that uncertainty and covariance between multiple part dimensions can invalidate standard practices. While current best practices may be better than completely unstructured approaches, the resulting product and process designs provide suboptimal product characteristics, broad performance distributions, and low manufacturing yields.
Sponsorship	Design Engineering Division
Starting Page	345
Ending Page	352
Page Count	8
File Format	PDF
ISBN	0791837122
DOI	10.1115/IMECE2003-42430
Volume Number	Design Engineering, Volumes 1 and 2
Conference Proceedings	ASME 2003 International Mechanical Engineering Congress and Exposition
Language	English
Publisher Date	2003-11-15
Publisher Place	Washington, DC, USA
Access Restriction	Subscribed
Subject Keyword	Design Noise (sound) Performance characterization Process design Uncertainty Injection molded plastics Dimensions Shrinkage (materials) Manufacturing Optimization
Content Type	Text
Resource Type	Article

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