Adaptive control optimisation system for minimising production cost in hard milling operations

This paper proposes an adaptive control with optimisation (ACO) methodology for optimising the production cost subjected to quality constraints in high-performance milling operations of hardened steel (58-62 HRC). Unlike traditional approaches for optimising production cost, this paper deals with op...

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Bibliographic Details
Published in:International journal of computer integrated manufacturing 2014-04, Vol.27 (4), p.348-360
Main Authors: Silva, Jorge A., Abellán-Nebot, José V., Siller, Hector R., Guedea-Elizalde, Federico
Format: Article
Language:English
Subjects:
adaptive control with optimisation (ACO)
artificial neural networks
genetic algorithms
hard milling
mesh adaptive direct search algorithms
production cost
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Summary:This paper proposes an adaptive control with optimisation (ACO) methodology for optimising the production cost subjected to quality constraints in high-performance milling operations of hardened steel (58-62 HRC). Unlike traditional approaches for optimising production cost, this paper deals with optimising the cutting operation considering the current state of the cutting tool. Artificial intelligence techniques for modelling (artificial neural networks) and optimising (genetic algorithms and mesh adaptive direct search algorithms) are applied for this purpose. As a result, the production cost estimation from the proposed approach is 13% lower than the one obtained by the traditional approach with 76% less uncertainty.
ISSN:0951-192X
1362-3052
DOI:10.1080/0951192X.2012.749535