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edge preparation methods for cutting tools:a review

Frontiers of Mechanical Engineering 2023年第4期18卷 49-77页

作者： Yu ZHOU Wei FANG Lanying SHAO Yanfei DAI Jiahuan WANG Xu WANG Julong YUAN Weigang GUO Binghai LYU College of Mechanical Engineering Zhejiang University of TechnologyHangzhou 310023China Key Laboratory of Special Purpose Equipment and Advanced Processing Technology(Ministry of Education and Zhejiang Province) Zhejiang University of TechnologyHangzhou 310023China Special Equipment Institute Hangzhou Vocational&Technical CollegeHangzhou 310018China

edge preparation can remove cutting edge defects,such as burrs,chippings,and grinding marks,generated in the grinding process and improve the cutting performance and service life of *** edge preparation methods have been proposed for different tool matrix materials,geometries,and application *** study presents a scientific and systematic review of the development of tool edge preparation technology and provides ideas for its future ***,typical edge characterization methods,which associate the microgeometric characteristics of the cutting edge with cutting performance,are briefly ***,edge preparation methods for cutting tools,in which materials at the cutting edge area are removed to decrease defects and obtain a suitable microgeometry of the cutting edge for machining,are *** edge preparation methods are explored on the basis of existing processing technologies,and the principles,advantages,and limitations of these methods are systematically summarized and *** preparation methods are classified into two categories:mechanical processing methods and nontraditional processing *** methods are compared from the aspects of edge consistency,surface quality,efficiency,processing difficulty,machining cost,and general *** this manner,a more intuitive understanding of the characteristics can be ***,the future development direction of tool edge preparation technology is prospected.

关键词： edge preparation method preparation principle cutting edge geometry edge characterization tool performance

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