Affiliation:
1. Department of Advanced Manufacturing and Enterprise Engineering (AMEE), School of Engineering and Design, Brunel University, Uxbridge, UK
Abstract
Adaptive smart machining has tremendous potential to render machining processes some level of intelligence and smartness. This article presents the concept and innovative use of adaptive smart machining through the adaptive control by constraints system, based on feed rate adjustment to modify the orthogonal cutting force, measured by a smart cutting tool developed by the authors. The advantage of using a smart cutting tool encompasses not only low cost, light weight and compact size, but also within the desired force range it will enhance the cutting tool life and smart machining and hence improve productivity and reliability in adaptive machining applications.
Subject
Industrial and Manufacturing Engineering,Mechanical Engineering
Cited by
30 articles.
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