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Chip Production Rate and Tool Wear Estimation in Micro-EndMilling

Abstract In this research, a new cutting edge wear estimator for micro-endmilling is developed and the reliabillity of the estimator is evaluated. The main concept of this estimator is the minimum chip thickness effect. This estimator predicts the cutting edge radius by detecting the drop in the chip production rate as the cutting edge of a micro- endmill slips over the workpiece when the minimum chip thickness becomes larger than the uncut chip thickness, thus transitioning from the shearing to the ploughing dominant regime. The chip production rate is investigated through simulation and experiment. The simulation and the experiment show that the chip production rate decreases when the minimum chip thickness becomes larger than the uncut chip thick... (more)
Created Date 2019
Contributor LEE, JUE-HYUN (Author) / Sodemann, Angela A (Advisor) / Shuaib, Abdelrahman (Committee member) / Hsu, Keng (Committee member) / Artemiadis, Panagiotis (Committee member) / Liu, Yongming (Committee member) / Arizona State University (Publisher)
Subject Mechanical engineering / chatter / chip production rate / micro-endmilling / minimum chip thickness / stability lobe / tool wear
Type Doctoral Dissertation
Extent 186 pages
Language English
Note Doctoral Dissertation Mechanical Engineering 2019
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS

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Description Dissertation/Thesis