Robust fixture layout with the multi-objective non-dominated ACO/GA approach |
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Authors: | BF Wang AYC Nee |
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Affiliation: | aInstitute of High Performance Computing, Agency for Science, Technology and Research, 1Fusionopolis Way, #16-16, Connexis 138632, Singapore;bDepartment of Mechanical Engineering, National University of Singapore, 10 Kent Ridge Crescent 119260, Singapore |
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Abstract: | Fixture design is an important procedure in many manufacturing operations in terms of maintaining product quality, consistency and assisting the assembly, machining and inspection processes. A robust fixture design approach is presented in this study. It treats fixture layout as a multi-objective optimization problem, which considers both the mean and the variation of the mean localization errors of the machining features in a set-up, and the distance of the location points among the locators to ensure the location is stable and reliable. The non-dominated ACO and GA are proposed to solve this multi-objective problem, and their performances are compared. |
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Keywords: | Design optimization Genetic algorithm Robust fixture design |
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