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Ant Colony Optimization to Improve Precision of Complex Assembly

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Advanced Research on Computer Science and Information Engineering (CSIE 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 152))

Abstract

An assembly consists of two or more mating parts. The quality of the assembly is mainly based on the quality of mating parts. The mating parts may be manufactured using different machines and processes with different standard deviations. Therefore, the dimensional distributions of the mating parts are not similar. This results in clearance between the mating parts. To obtain high precision assemblies, clearance variation has to be reduced. Selective assembly helps to reduce this clearance variation. In this paper, appropriate selective group combination for assembling the mating parts is obtained using an ant colony optimization (ACO). The combination obtained has resulted in an appreciable reduction in clearance variations.

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Author information

Authors and Affiliations

  1. Department of Mechanical Engineering, Dr. Sivanthi Aditanar College of Engineering, Tiruchendur, India

    M. Victor Raj

  2. Department of Mechanical Engineering, Kalasalingam University, Krishnankoil, India

    S. Saravana Sankar

  3. School of Engineering, Monash University Sunway Campus, 46150, Bandar Sunway, Malaysia

    S. G. Ponnambalam

Authors
  1. M. Victor Raj
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  2. S. Saravana Sankar
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  3. S. G. Ponnambalam
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Editor information

Editors and Affiliations

  1. Wuhan University of Science and Technology, Zhongnan Branch, No.18, Jiangxia Road, Wuhan, China

    Gang Shen

  2. International Science & Education Researcher Association, Wuhan Branch, No.1, Jiangxia Road, Wuhan, China

    Xiong Huang

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© 2011 Springer-Verlag Berlin Heidelberg

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Raj, M.V., Sankar, S.S., Ponnambalam, S.G. (2011). Ant Colony Optimization to Improve Precision of Complex Assembly. In: Shen, G., Huang, X. (eds) Advanced Research on Computer Science and Information Engineering. CSIE 2011. Communications in Computer and Information Science, vol 152. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21402-8_14

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  • DOI: https://doi.org/10.1007/978-3-642-21402-8_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21401-1

  • Online ISBN: 978-3-642-21402-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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