2019
DOI: 10.21533/pen.v7i4.487
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Numerical simulation of hot forging process in production of axisymmetric automobile parts

Abstract: The fin ite element method were used for the plastic metal flo w predict ion of ring shaped parts. Various parameters that affect the forging operation are the material characteristics like material strength, ductility, deformat ion rate, temperature sensitivity and frict ional characteristics of the workp iece, prefo rm design, die design and die material. Nu merical simulat ion has been done for axisy mmetric automobile parts. The procedure of nu merical modeling contains all simulat ions phases like the mov… Show more

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Cited by 4 publications
(2 citation statements)
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“…The statement of the associated problem of induction heating and plastic deformation of a cylindrical workpiece was considered by the authors in [11]. Mathematical modeling of pressure treatment of axisymmetric (cylindrical) parts during three-stage shaping is considered in [12]. The methodology for modeling wear of die tooling taking into account the thermal effect on the material of the die is described in [13].…”
Section: Research Of Existing Solutions Of the Problemmentioning
confidence: 99%
“…The statement of the associated problem of induction heating and plastic deformation of a cylindrical workpiece was considered by the authors in [11]. Mathematical modeling of pressure treatment of axisymmetric (cylindrical) parts during three-stage shaping is considered in [12]. The methodology for modeling wear of die tooling taking into account the thermal effect on the material of the die is described in [13].…”
Section: Research Of Existing Solutions Of the Problemmentioning
confidence: 99%
“…Two different approaches, namely the "flow approach" (flow formulation) and "solid approach", have emerged for the simulation of metal forming processes using different numerical methods [1,2], mainly the finite element method (FEM), [1,[3][4][5] and recently the finite volume method (FVM) [6][7][8][9].…”
Section: Introductionmentioning
confidence: 99%