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Predictive modeling and optimization in hard turning: investigations of effects on cutting tool micro-geometry
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Predictive modeling and optimization in hard turning: investigations of effects on cutting tool micro-geometry
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Investigations of effects on cutting tool micro-geometry
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Karpat
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Yiğit
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Yiğit Karpat
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author
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Ozel
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Tugrul
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Advisory Committee
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Tugrul Ozel
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Advisory Committee
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Elsayed A. Elsayed
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internal member
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Boucher
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Thomas
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Advisory Committee
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Thomas O. Boucher
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internal member
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Cuitino
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Alberto
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Advisory Committee
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Alberto Cuitino
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Rutgers University
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Graduate School - New Brunswick
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theses
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2007
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2007-10
Language
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English
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electronic
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xxvi, 238 pages
Abstract
Hard turning, which is turning of hardened parts into finished components, offers distinct advantages to manufacturers. It is favorable in terms of cost because it has the potential to eliminate the grinding process. Complex surfaces can be machined with a single machine. It is an environmentally friendly process because no cutting fluid is used. Its major drawback is rapid tool wear due to high temperatures and high stresses at the tool rake and flank faces. Short tool lives of expensive Polycrystalline Cubic Boron Nitride (PCBN) type of cutting tools hinder the economic advantage of hard turning. This research focuses mainly on the effects of cutting tool micro geometry on hard turning process. The goal is to develop a methodology for the selection of cutting tool micro geometry and machining parameters for hard turning process. To this end, existing analytical and experimental modeling techniques used in modeling of hard turning will be improved and new methodologies will be proposed.
In this research, firstly, we have developed a predictive analytical force, stress and thermal model for machining with worn tools by modifying Oxley’s machining theory. The proposed model combines a work material based deformation model with a moving band heat source model and predicts stresses and temperature distributions on the tool for tool wear modeling. Secondly, we have developed a methodology based on slip-line field analysis and experimental observations to identify tool-chip interface friction in order to investigate the influence of various edge preparations on machining performance. The ideal cutting conditions for a given edge preparation is obtained. Thirdly, we have established physics based models by utilizing 2-D and 3-D finite element methods (FEM) to analyze machining with advanced cutting tool micro geometry in order to improve the tool design for better tool life. Experimental investigations have shown that the cutting tools with advanced edge geometries perform better than uniform edge geometries. Lastly, we have introduced a multi-objective optimization methodology to select optimum machining parameters in the presence of conflicting objectives to assist in decision-making for process planning.
In this research, firstly, we have developed a predictive analytical force, stress and thermal model for machining with worn tools by modifying Oxley’s machining theory. The proposed model combines a work material based deformation model with a moving band heat source model and predicts stresses and temperature distributions on the tool for tool wear modeling. Secondly, we have developed a methodology based on slip-line field analysis and experimental observations to identify tool-chip interface friction in order to investigate the influence of various edge preparations on machining performance. The ideal cutting conditions for a given edge preparation is obtained. Thirdly, we have established physics based models by utilizing 2-D and 3-D finite element methods (FEM) to analyze machining with advanced cutting tool micro geometry in order to improve the tool design for better tool life. Experimental investigations have shown that the cutting tools with advanced edge geometries perform better than uniform edge geometries. Lastly, we have introduced a multi-objective optimization methodology to select optimum machining parameters in the presence of conflicting objectives to assist in decision-making for process planning.
Note
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Ph.D.
Note
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Includes bibliographical references (p. 226-236).
Subject
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Topic
Industrial and Systems Engineering
Subject
(ID = SUBJ2);
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Topic
Turning (Lathe work)
Subject
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Topic
Metal-cutting tools
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Graduate School - New Brunswick Electronic Theses and Dissertations
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rucore19991600001
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http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.17032
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ETD_346
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doi:10.7282/T3HM58VC
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ETD doctoral
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Copyright protected
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Open
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Yigit Karpat
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Rutgers University. Graduate School - New Brunswick
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Non-exclusive ETD license
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Author Agreement License
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I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
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