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2019
DOI: 10.1007/s11740-019-00900-8
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Investigation on cutting edge preparation and FEM assisted optimization of the cutting edge micro shape for machining of nickel-base alloy

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Cited by 15 publications
(7 citation statements)
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“…Tool wear rate can be calculated by the wear model proposed by Usui et al [ 1 ], which is dependent on the contact stress and cutting temperature. Tiffe et al [ 2 ] found optimal cutter edge profiles to reduce tool temperature using the finite element method (FEM) technique. The edge profiles had complex shapes and the results of their work were beneficial for analyzing the thermal gradient and how it affects tool life.…”
Section: Introductionmentioning
confidence: 99%
“…Tool wear rate can be calculated by the wear model proposed by Usui et al [ 1 ], which is dependent on the contact stress and cutting temperature. Tiffe et al [ 2 ] found optimal cutter edge profiles to reduce tool temperature using the finite element method (FEM) technique. The edge profiles had complex shapes and the results of their work were beneficial for analyzing the thermal gradient and how it affects tool life.…”
Section: Introductionmentioning
confidence: 99%
“…It improves tool wear resistance, and tool life, as well as having effects on chip formation, and mechanical and thermal stresses. Biermann et al [4] proposed a finite element analysis-based methodology of the optimization of prepared cutting-edge micro forms that reduce tool wear during the machining of Inconel 718. They found that an asymmetrical micro shape is the optimal cutting-edge profile, by investigating cutting-edge parameters S α , S β and S γ .…”
Section: Introductionmentioning
confidence: 99%
“…In order to take into account the progressive wear-related geometry change and the associated change in tool load in the simulation, the approach proposed by Yen et al [17] was applied. Tiffe et al [18] utilized the Usui wear rate, which was calculated based on a two-dimensional simulation approach for the machining of nickel-based alloys, as an optimization criterion for the design of cutting edge geometry.…”
Section: Introductionmentioning
confidence: 99%