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Studies in Engineering and Technology
Number of Followers: 0  

  This is an Open Access Journal Open Access journal
ISSN (Print) 2330-2038 - ISSN (Online) 2330-2046
Published by Redfame Publishing Homepage  [7 journals]
  • Mechanical System Topology Optimization for Better Maintenance

    • Authors: Ngnassi Djami Aslain Brisco, Nzié Wolfgang, Doka Yamigno Serge
      Pages: 1 - 13
      Abstract: For a given mechanical equipment, knowing its modular topology has the advantage of facilitating its maintenance. Indeed, during a maintenance problem, we will not act on the whole product except on the failed module (product subsystem) and we would also gain time to detect, diagnose and compensate for the observed failure. On the other hand, the clustering algorithm, which has served as a reference for several works has several limits. It generates much more complex and more expensive modules in terms of coupling costs, which could require more resources, more intervention time and more maintenance work. This has worse consequences for product maintenance, because the more complex the product modules are, the more expensive the maintenance is. We therefore propose an improved clustering algorithm which has the advantage of reducing maintenance costs by reducing the coupling and decoupling costs (Disassembly and reassembly costs) of the modules, generated by the reference algorithm for good maintainability (dis-assemblability). The application is made on a soy roaster. The approach followed in the proposed algorithm consists first of all in defining a DSM (Design Structure Matrix) which will make it possible to define the correction coefficients of the coupling cost, then in formulating an objective function to reduce the coupling costs, and finally to take into account the integrating elements to reduce the size of the modules. The result achieved is the proposal for a modular topology (modular architecture) leading to a significant reduction in maintenance costs. The developed algorithm also allows an economy of scale in reducing the complexity of the modules, promoting good maintainability.
      PubDate: 2020-09-01
      DOI: 10.11114/set.v8i1.4990
      Issue No: Vol. 8, No. 1 (2020)
School of Mathematical and Computer Sciences
Heriot-Watt University
Edinburgh, EH14 4AS, UK
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