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contributor authorZhu, Wu-Le
contributor authorHe, Yu
contributor authorEhmann, Kornel F.
contributor authorSánchez Egea, Antonio J.
contributor authorWang, Xinwei
contributor authorJu, Bing-Feng
contributor authorZhu, Zhiwei
date accessioned2017-11-25T07:17:33Z
date available2017-11-25T07:17:33Z
date copyright2016/8/8
date issued2016
identifier issn1087-1357
identifier othermanu_138_12_121011.pdf
identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4234639
description abstractAlumina (Al2O3) is an extremely hard and brittle ceramic that is usually used as an abrasive or a cutting tool insert in manufacturing. However, its growing applications in industrial products make it necessary to conduct a study of the machinability of alumina themselves with a cost-effective and flexible method, rather than conventional diamond grinding or laser-assisted processing methods. In this paper, polycrystalline diamond tools are used to investigate the machining of nonporous pure alumina by applying an inclined ultrasonic elliptical vibration cutting (IUEVC) method. First, a theoretical analysis is presented to study the effects of the machining parameters on cutting performances during raster cutting procedures from the prospective of the material removal rate (MRR), tool-chip contact area, cutting edge angle, etc. Then, experiments are carried out to investigate the cutting forces and the areal surface roughness (Sa) in connection with the theoretically established relationships. The results show that the cutting forces are remarkably reduced, by up to more than 90%, and that the machined surface finish is also improved compared with conventional methods.
publisherThe American Society of Mechanical Engineers (ASME)
titleTheoretical and Experimental Investigation on Inclined Ultrasonic Elliptical Vibration Cutting of Alumina Ceramics
typeJournal Paper
journal volume138
journal issue12
journal titleJournal of Manufacturing Science and Engineering
identifier doi10.1115/1.4033605
journal fristpage121011
journal lastpage121011-11
treeJournal of Manufacturing Science and Engineering:;2016:;volume( 138 ):;issue: 012
contenttypeFulltext


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