State-of-the-art methods and results in tool condition monitoring: a review |
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Authors: | Adam G Rehorn Jin Jiang Peter E Orban EV Bordatchev |
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Affiliation: | (1) Department of Electrical and Computer Engineering, The University of Western Ontario, London, Ontario, N6A 5B9, Canada;(2) Integrated Manufacturing Technologies Institute, National Research Council of Canada, 800 Collip Circle, London, Ontario, N6G 4X8, Canada |
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Abstract: | This paper presents a review of the state-of-the-art in sensors and signal processing methodologies used for tool condition
monitoring (TCM) systems in industrial machining applications. The paper focuses on the technologies used in monitoring conventional
cutting operations, including drilling, turning, end milling and face milling, and presents important findings related to
each of these fields. Unlike existing reviews, which categorize results according to the methodology used, this paper presents
results organized according to the type of machining operation carried out. By extensively reviewing and categorizing over
one hundred important papers and articles, this paper is able to identify and comment on trends in TCM research, and to identify
potential weaknesses in certain areas. The paper concludes with a list of recommendations for future research based on the
trends and successful results observed, thus facilitating the cross-fertilization of ideas and techniques within the field
of TCM research.
An erratum to this article can be found at |
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Keywords: | Breakage detection Cutting measurements Machining quantities Machining signal processing Time-frequency analysis Tool condition monitoring Tool wear |
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