Title: Online model-based milling process condition monitoring

Authors: Abolfath Nikranjbar; Ali Asghar Atai

Addresses: Mechanical Engineering Group, School of Engineering, Islamic Azad University, Karaj Branch, Iran ' Mechanical Engineering Group, School of Engineering, Islamic Azad University, Karaj Branch, Iran

Abstract: In line with demanding the higher efficiency of milling operation, the requests for reliable cutting tool condition monitoring techniques are encountered with considerable interest. Cutting forces are considered the most significant process parameters for developing the condition monitoring techniques. In this article, a real time condition monitoring of milling process utilising recursive least square (RLS) algorithm is proposed. The developed model provides an immediate continuous supervision on the quality of cutting process through monitoring the performance of each tool teeth. The proposed mechanical-analytical approach facilitates the calculation of the cutting force components with any number of cutting edges, which are used not only for cutting tool condition monitoring purposes, but also provide the ground for investigation of the effects of the most influencing parameters of the cutting process such as geometry of cutting, work piece material, feed rate, and tool turning speed and so on. Inherently, due to correlation of the roughness with cutting forces through stiffness of the tool, the reliable estimation of the surface condition (roughness) is also available once the cutting forces are provided.

Keywords: milling process; online condition monitoring; cutting force; recursive least square; RLS; process monitoring; tool monitoring; cutting geometry; workpiece material; feed rate; turning speed; surface roughness; surface quality.

DOI: 10.1504/IJMMS.2013.053831

International Journal of Mechatronics and Manufacturing Systems, 2013 Vol.6 No.2, pp.195 - 212

Received: 09 Aug 2012
Accepted: 08 Dec 2012

Published online: 10 May 2013 *

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