Optimum Tolerance Design Using Component-Amount and Mixture-Amount Experiments
One type of tolerance design problem involves optimizing component and assembly tolerances to minimize the total cost (sum of manufacturing cost and quality loss). Previous literature recommended using traditional response surface (RS) designs and models to solve this type of tolerance design problem. In this article, component-amount (CA) and mixture-amount (MA) approaches are proposed as more appropriate for solving this type of tolerance design problem. The advantages of the CA and MA approaches over the RS approach are discussed. Reasons for choosing between the CA and MA approaches are also discussed. The CA and MA approaches (experimental design, response modeling, and optimization) are illustrated using real examples.
- Research Organization:
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- AC05-76RL01830
- OSTI ID:
- 1117070
- Report Number(s):
- PNNL-SA-82766
- Journal Information:
- International Journal of Advanced Manufacturing Technology, 68(9-12):2359-2369, Journal Name: International Journal of Advanced Manufacturing Technology, 68(9-12):2359-2369
- Country of Publication:
- United States
- Language:
- English
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