A Partially Constrained Eulerian Orthogonal Cutting Model for Chip Control Tools

Strenkowski, John S.; Athavale, S. M.

doi:10.1115/1.2836809

Cited by 40 publications

(9 citation statements)

References 22 publications

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“…In addition, such formulations also require the prior knowledge of the chip geometry and chip-tool contact length, thereby restricting the application range. In order to overcome this shortcoming, various authors have adopted iterative procedures to adjust the chip geometry and/or chip/tool contact length [87][88][89][90][91][92][93][94][95][96][97].…”

Section: Solution Methodsmentioning

confidence: 99%

Modelling and Simulation of Machining Processes

Vaz

Owen

Kalhori

et al. 2007

Arch Computat Methods Eng

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The modelling of metal cutting has proved to be particularly complex due to the diversity of physical phenomena involved, including thermo-mechanical coupling, contact/friction and material failure. The present work outlines the wide range of complex physical phenomena involved in the chip formation in a descriptive manner. In order to improve and understand the process different numerical strategies have been used for simulation. Several of these numerical strategies are reviewed and a short discussion of their relative merits and drawbacks is presented. By means of several examples, where a combined experimental/numerical effort was undertaken, we try to illustrate what numerical techniques, models and pertinent parameters are needed for successful simulations.

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Section: Solution Methodsmentioning

confidence: 99%

Modelling and Simulation of Machining Processes

Vaz

Owen

Kalhori

et al. 2007

Arch Computat Methods Eng

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“…The space domain is discretized and the movement must be determined with a mesh that stays fixed at every moment. That is, the nodes do not move during the analysis and they are not fixed to the material [9,35,36,[50][51][52]. This approach is very fast to execute, but great difficulties appear when dealing with the free-surface treatment.…”

Section: Finite-element Modelingmentioning

confidence: 97%

Finite-element Modeling and Simulation

Arrazola

2011

Machining of Hard Materials

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This chapter deals with the finite-element method (FEM) of hard machining, mainly turning (two-and three-dimensional (3D)). Results about the influence of working conditions and tool geometry (cutting-edge finishing) on tool forces, temperatures, and stresses when machining AISI 52100 steel are presented. In addition, information about residual stresses obtained through 3D FEM analysis is shown. The aim of the chapter is to demonstrate the possibilities of FEM for understanding the chip formation process in hard turning and to show its capabilities in areas like tool insert design and prediction of the surface state of the machined workpiece. First, a brief summary of the state of the art on hard machining is presented. Then FEM capabilities and limitations are shown. After that, results of process simulations will be provided and compared with those obtained in the literature. Finally, overall conclusions are pointed out and future research direction is discussed. IntroductionHard turning has become a relevant manufacturing process in producing finished components that are made of alloyed steels with hardnesses between 50 and 70 HRC [1]. The main aim of employing hard turning is avoiding the grinding operation which in most cases corresponds to the final operation for the workpiece. Comparisons between both processes show that the demanded surface roughness and ISO tolerance standards can be achieved in both processes, but higher flexibility and material removal rates can be obtained in hard turning.

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“…Most recently, Fang and Jawahir [28] developed a new analytical predictive model to fully take into consideration the effects of strain, strain-rate, and temperature by integrating a slip-line model with Oxley's machining theory. At present, the prevailing method of considering both strain-hardening and thermal-softening effects in machining employs various finite element techniques, such as by Strenkowski and Athavale [34], Shirakashi and Obikawa [35], and Childs et al [36]. (3) The chip velocity at point G, from which the chip undersurface starts to curl upwards, is parallel to the tool rake face.…”

Section: Basic Assumptions Of the New Modelmentioning

confidence: 99%