Cutting parameters optimisation in milling: expert machinist knowledge vs. soft computing methods
by J.V. Abellan-Nebot
International Journal of Mechatronics and Manufacturing Systems (IJMMS), Vol. 3, No. 1/2, 2010

Abstract: In traditional machining operations, cutting parameters are usually selected prior to machining according to machining handbooks and user's experience. However, this method tends to be conservative and sub-optimal since part accuracy and non machining failures prevail over machining process efficiency. In this paper, a comparison between traditional cutting parameter optimisation by an expert machinist and an experimental optimisation procedure based on Soft Computing methods is conducted. The proposed methodology increases the machining performance in 6.1% and improves the understanding of the machining operation through the use of Adaptive Neuro-fuzzy Inference Systems.

Online publication date: Wed, 02-Dec-2009

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