Simultaneously Solving Process Selection, Machining Parameter Optimization, and Tolerance Design Problems: A Bi-Criterion Approach

[+] Author and Article Information
Pei Wang

Department of Mechanical Engineering,  University of Ottawa, 770 King Edward Avenue, Ottawa, ON KIN 6N5, Canada

Ming Liang1

Department of Mechanical Engineering,  University of Ottawa, 770 King Edward Avenue, Ottawa, ON KIN 6N5, Canadamliang@uottawa.ca


Author to whom correspondence should be addressed.

J. Manuf. Sci. Eng 127(3), 533-544 (May 25, 2004) (12 pages) doi:10.1115/1.1949615 History: Received July 17, 2003; Revised May 25, 2004

This paper reports an integrated approach for jointly solving the process selection, machining parameter selection, and tolerance design problems to avoid inconsistent and infeasible decisions. The integrated problem is formulated as a bicriterion model to handle both tangible and intangible costs. The model is solved using a modified Chebyshev goal programming method to achieve a preferred compromise between the two conflicting and noncommensurable criteria. Examples are provided to illustrate the application of the model and the solution procedure. The results show that the decisions on process selection, machining parameter selections, and tolerance design can be made simultaneously with the model.

Copyright © 2005 by American Society of Mechanical Engineers
Topics: Machining , Design
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Figure 1

Relationships among planning objectives, planning parameters, and machining processes

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Figure 2

Typical machining stages, processes, and passes for external round shapes (a) and internal rotational surfaces (b)

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Figure 3

Illustration of machining parameters

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Figure 4

Scrap cost, rework cost, and quality loss for (a) nonfinish stages (1⩽i<I), (b) finish stage (i=I)

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Figure 5

Illustration of the two examples (a) Example 1: Piston, (b) Example 2: Cylinder (dimensions in mm) (modified based on Ref. 43)

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Figure 6

Fuzzy membership functions




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