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A proposal for an intelligent monitoring and control system is
introduced. Achievement of a specific surface roughness is the main goal
because it is a well-known index of product quality and a technical
requirement for mechanical products. The system integrates four modules:
data acquisition, surface roughness monitoring, cutting tool monitoring,
and intelligent process planning. Values of the cutting parameters for a
peripheral milling process are estimated a priori, and by using a Genetic
Algorithm, the optimal cutting parameters are determined. In intelligent
process planning module, a Markov decision process is implemented to
compute an optimal machining policy. Based on this policy, the system
generates recommendations that optimize the operating costs.
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