Title page for ETD etd-0109102-140803

Document Type	dissertation
Author Name	Zhou, Li
URN	etd-0109102-140803
Title	Machining Chip-Breaking Prediction with Grooved Inserts in Steel Turning
Degree	PhD
Department	Manufacturing Engineering
Advisors	Yiming Rong, Advisor Christopher A. Brown, Department Head Richard D. Sisson, Committee Member Mustapha S. Fofana, Committee Member Ning Fang, Committee Member
Keywords	Chip breaking prediction turning grooved inserts
Date of Presentation/Defense	2001-12-07
Availability	unrestricted
Abstract Prediction of chip-breaking in machining is an important task for automated manufacturing. There are chip-breaking limits in maching chip-breaking processes, which determine the chip-breaking range. This paper presents a study of chip-breaking limits with grooved cutting tools, and a web-based machining chip-breaking prediction system. Based on the chip-breaking curve, the critical feed rate is modeled through an analysis of up-curl chip formation, and the critical depth of cut is formulated through a discussion of side-curl dominant chip-formation processes. Factors affecting chip-breaking limits are also discussed. In order to predict chip-breaking limits, semi-empirical models are established. Although the coefficients that occur in the model are estimated through machining tests, the models are applicable to a broad range of machining conditions. The model parameters include machining conditions, tool geometry, and workpiece material properties. A new web-based machining chip-breaking prediction system is introduced with examples of industrial applications.
Files	zhou.pdf

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