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A New Selective Assembly Model for Achieving Specified Tolerance in High Precision Assemblies

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Abstract

Manufacturing of high precision assemblies pose a great challenge to engineers. High precision assemblies are generally assembled using selective assembly when the assembly tolerance requirement is less than the sum of the part tolerances. Although extensive research has been done in selective assembly modelling for minimising surplus parts and tolerance variation, they do not suit given specifications. In this paper, a new selective assembly model using a genetic algorithm is proposed to provide a detailed method for assembling parts for achieving specified assembly tolerance with minimum surplus parts. This model provides the best combination of selective groups and the number of assemblies in each group and so the assembly process is simplified. Genetic Algorithm is used to find the best combinations and the number of assemblies in each combination to minimize surplus parts. This paper analyses the effectiveness of the model for given target assembly tolerance for a linear assembly and it can be extended to any type of product.

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Authors and Affiliations

  1. Loyola Institute of Technology, Chennai, India

    S. M. Kannan

  2. Madurai Institute of Engineering and Technology, Madurai, India

    G. Raja Pandian

Authors
  1. S. M. Kannan
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  2. G. Raja Pandian
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Correspondence to S. M. Kannan.

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Kannan, S.M., Raja Pandian, G. A New Selective Assembly Model for Achieving Specified Tolerance in High Precision Assemblies. Int. J. Precis. Eng. Manuf. 21, 1217–1230 (2020). https://doi.org/10.1007/s12541-019-00287-7

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  • DOI: https://doi.org/10.1007/s12541-019-00287-7

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