slugA Review on Artificial Intelligence Techniques Applied in End Milling

Abstract

in today’s fast changing scenario in manufacturing industries, End milling machining is an operation which produces variety of shapes and surfaces with varying surface roughness. The application of effective optimization techniques in metal cutting process is essential for a manufacturing to increase the quality of a product and to cost minimization. So In this paper Artificial intelligence machining techniques are presented which can be successfully applied in monitoring of machining processes, machining process modelling, prediction and optimization of various process parameters etc. The most often used techniques are artificial neural networks, fuzzy logic, adaptive neuro fuzzy interference systems, genetic algorithms, and others. In the paper is given recommended application of Artificial Intelligence techniques applied in End Milling are presented.

Authors and Affiliations

Manjeet singh, Dinesh Kumar

Keywords

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  • EP ID EP17812
  • DOI -
  • Views 347
  • Downloads 13

How To Cite

Manjeet singh, Dinesh Kumar (2014). slugA Review on Artificial Intelligence Techniques Applied in End Milling. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 2(3), -. https://www.europub.co.uk/articles/-A-17812