A Robust Approach for Concurrent Tolerances Allocation Using Immune Genetic Algorithm

Fang Zhen Li; Cong Lu; Wen Rui Jiang

doi:10.4028/www.scientific.net/AMR.308-310.776

Paper Titles

Performance Analysis and Parametric Optimum Criteria of a Micro Nano Scaled Otto Engine Cycle
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Quenching Temperature‘s Impact on the Microstructure and Mechanical Properties of X80 Pipeline Steel
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The Analysis of Dynamic Performance on Four-Wheel Steering Vehicle Model
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The Influence of Pore Structure on Internal Flow Field Shear Stress within Scaffold
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A Robust Approach for Concurrent Tolerances Allocation Using Immune Genetic Algorithm
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Preparation of High Oil-Absorbing Materials by Using Modified Microcrystalline Cellulose
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Application of Automobile Lightweight Alloys and the Development of its Die-Casting Technology
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Study on Clean Production Technologies of Electrolysis Manganese Passivation
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Fabrication of Ti-43Al-5V-4Nb Intermetallic Compounds by Forging Using the Blended Elemental Powders
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 308-310A Robust Approach for Concurrent Tolerances...

A Robust Approach for Concurrent Tolerances Allocation Using Immune Genetic Algorithm

Abstract:

This paper proposes a robust approach to solve the complex problem of concurrent tolerance allocation. The optimal tolerances are allocated based on the adjusted nominal values of the dimensions which are less sensitive to the product performance, and selection of manufacturing processes or machines from the alternatives have also been taken into account simultaneously. Immune genetic algorithm is used to solve the model and obtain the global optimal solution. The overrunning clutch assemble is illustrated as an example.