Extraction of flank wear growth models that correlates cutting edge integrity of ball nose end mills while machining titanium

dc.contributor.authorRamesh, K
dc.contributor.authorSiong, Lim Beng
dc.date.accessioned2016-07-12T12:56:48Z
dc.date.available2016-07-12T12:56:48Z
dc.date.issued2011
dc.date.updated2016-07-12T12:22:25Z
dc.description.abstractThe application of titanium alloys are increasingly seen at aerospace, marine, bio-medical and precision engineering due to its high strength to weight ratio and high temperature properties. However, while machining the titanium alloys using solid carbide tools, even with jet infusion of coolant lower tool life was vividly seen. The high temperatures generated at the tool–work interface causes adhesion of work-material on the cutting edges; hence, shorter tool life was reported. To reduce the high tool–work interface temperature positive rake angle, higher primary relief and higher secondary relief were configured on the ball nose end-mill cutting edges. However, after an initial working period, the growth of flank wear facilitates higher cutting forces followed by work-material adhesion on the cutting edges. Therefore, it is important to blend the strength, sharpness and surface integrity on the cutting edges so that the ball nose end mill would demonstrate an extended tool-life. Presently, validation of tool geometry is very tedious as it requires extensive machining experiments. This paper illustrates a new feature-based ball-noseend-mill–work interface model with correlations to the material removal mechanisms by which the tool geometry optimization becomes easier. The data are further deployed to develop a multi-sensory feature extraction/correlation model to predict the performance using wavelet analysis and Wagner Ville distribution. Conclusively, this method enables to evaluate the different ball nose end mill geometry and reduces the product development cycle time.en_ZA
dc.identifierhttp://dx.doi.org/10.1007/s00170-010-2753-9
dc.identifier.apacitationRamesh, K., & Siong, L. B. (2011). Extraction of flank wear growth models that correlates cutting edge integrity of ball nose end mills while machining titanium. <i>The International Journal of Advanced Manufacturing Technology</i>, http://hdl.handle.net/11427/20319en_ZA
dc.identifier.chicagocitationRamesh, K, and Lim Beng Siong "Extraction of flank wear growth models that correlates cutting edge integrity of ball nose end mills while machining titanium." <i>The International Journal of Advanced Manufacturing Technology</i> (2011) http://hdl.handle.net/11427/20319en_ZA
dc.identifier.citationRamesh, K., & Siong, L. B. (2011). Extraction of flank wear growth models that correlates cutting edge integrity of ball nose end mills while machining titanium. The International Journal of Advanced Manufacturing Technology, 52(5-8), 443-450.en_ZA
dc.identifier.issn0268-3768en_ZA
dc.identifier.ris TY - Journal Article AU - Ramesh, K AU - Siong, Lim Beng AB - The application of titanium alloys are increasingly seen at aerospace, marine, bio-medical and precision engineering due to its high strength to weight ratio and high temperature properties. However, while machining the titanium alloys using solid carbide tools, even with jet infusion of coolant lower tool life was vividly seen. The high temperatures generated at the tool–work interface causes adhesion of work-material on the cutting edges; hence, shorter tool life was reported. To reduce the high tool–work interface temperature positive rake angle, higher primary relief and higher secondary relief were configured on the ball nose end-mill cutting edges. However, after an initial working period, the growth of flank wear facilitates higher cutting forces followed by work-material adhesion on the cutting edges. Therefore, it is important to blend the strength, sharpness and surface integrity on the cutting edges so that the ball nose end mill would demonstrate an extended tool-life. Presently, validation of tool geometry is very tedious as it requires extensive machining experiments. This paper illustrates a new feature-based ball-noseend-mill–work interface model with correlations to the material removal mechanisms by which the tool geometry optimization becomes easier. The data are further deployed to develop a multi-sensory feature extraction/correlation model to predict the performance using wavelet analysis and Wagner Ville distribution. Conclusively, this method enables to evaluate the different ball nose end mill geometry and reduces the product development cycle time. DA - 2011 DB - OpenUCT DP - University of Cape Town J1 - The International Journal of Advanced Manufacturing Technology LK - https://open.uct.ac.za PB - University of Cape Town PY - 2011 SM - 0268-3768 T1 - Extraction of flank wear growth models that correlates cutting edge integrity of ball nose end mills while machining titanium TI - Extraction of flank wear growth models that correlates cutting edge integrity of ball nose end mills while machining titanium UR - http://hdl.handle.net/11427/20319 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/20319
dc.identifier.vancouvercitationRamesh K, Siong LB. Extraction of flank wear growth models that correlates cutting edge integrity of ball nose end mills while machining titanium. The International Journal of Advanced Manufacturing Technology. 2011; http://hdl.handle.net/11427/20319.en_ZA
dc.languageengen_ZA
dc.publisherSpringer Verlag (Germany)en_ZA
dc.publisher.departmentDepartment of Chemical Engineeringen_ZA
dc.publisher.facultyFaculty of Engineering and the Built Environment
dc.publisher.institutionUniversity of Cape Town
dc.sourceThe International Journal of Advanced Manufacturing Technologyen_ZA
dc.source.urihttp://link.springer.com/journal/170
dc.subject.otherBall nose end mill
dc.subject.otherTool geometry
dc.subject.otherTitanium
dc.subject.otherMachining
dc.titleExtraction of flank wear growth models that correlates cutting edge integrity of ball nose end mills while machining titaniumen_ZA
dc.typeJournal Articleen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceArticleen_ZA
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