NDLI: Cutting force prediction models of metal machining processes: A review

Content Provider	IEEE Xplore Digital Library
Author	Zhenyu Han Hongyu Jin Hongya Fu
Copyright Year	2015
Description	Author affiliation: Sch. of Mechatron. Eng., Harbin Inst. of Technol., Harbin, China (Zhenyu Han; Hongyu Jin; Hongya Fu)
Abstract	Determination of the cutting force during metal machining process is of particular importance because of its controlling influence to cutting deformation, tool wear, tool life, as well as the quality of machined part. Numerous attempts have been made to approach this problem with different methods, such as analytical, empirical, numerical, hybrid models. But the complexity of cutting process makes it extremely difficult to predict in a precise manner or even assess the performance of various models. In this paper, previous research including state-of-the-art publications in predicting models of cutting force during metal machining is briefly reviewed. The strengths and weaknesses of different models are analyzed by concerning several topics. Based on the review and assessment of available models, it could be concluded that numerical and hybrid models will be increasingly concerned due to the development of information technology though analytical and empirical models have dominated in the past few decades. Finally, this work also aims at giving a perspective in such area in the future, based on the known researches.
Starting Page	323
Ending Page	328
File Size	1548220
Page Count	6
File Format	PDF
e-ISBN	9781479964185
DOI	10.1109/ICEDIF.2015.7280216
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-01-10
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Analytical models Prediction models Heating Hidden Markov models Process control Metals Prediction algorithms Hybrid model Cutting force
Content Type	Text
Resource Type	Article

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