Numerical analysis of strains and stresses in the hot cogging process

Kukuryk, M.

doi:10.17512/jamcm.2018.3.04

Cited by 7 publications

(2 citation statements)

References 12 publications

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“…The governing equations for forging simulation have been extensively covered in the literature. To avoid duplication, the readers are directed to our previous articles [12,13] and other published articles [11,14]. The simulation model of the cylindrical workpiece and the dies (upper and lower) were designed by in-built primitive geometry in the simulation software tool.…”

Section: Simulation Modellingmentioning

confidence: 99%

Numerical simulation on the effect of sample geometry size on the metal flow behaviour during the forging process

Obiko

Mwema

2020

IOPSciNotes

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This paper reports on the effect of sample geometry size on the metal flow behaviour using Deform TM 3D finite element simulation software. The simulation process was done at forging temperature of 1100°C and upper die speed of 50 mm/second. The friction coefficient between the die and the sample interface was taken to be constant during the simulation process. The results of the effective stress and strain distribution in the deformed sample were reported. The results show that the effective stress and strain distribution in the deformed sample was non-uniformly distributed. The maximum effective strain occurred at the centre of the deformed sample for all the samples tested. The maximum effective stress occurred at the die-sample contact surface. At the contact surfaces, the effective stress decreased with a decrease in the sample size. The effective stress at the centre of the deformed sample increased with a decrease in the sample geometry size.

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Section: Simulation Modellingmentioning

confidence: 99%

Numerical simulation on the effect of sample geometry size on the metal flow behaviour during the forging process

Obiko

Mwema

2020

IOPSciNotes

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“…There has also been significant attention given to the development of microstructure evolution models in order to predict the grain size distributions in components and billets produced by uni-directional (upsetting) and multi-directional (cogging) open die forging: e.g., 3D thermo-plastic finite element analysis by Cho et al [15], numerical models of cogging by Kukuryk et al [16], microstructural evolution simulation during hot forging of Waspaloy by Kang et al [17], and Bai et al's study on modelling the dominant softening mechanisms in Ti-6Al-4V during hot forming [18]. However, the validation of such models and their relevance to industrial manufacturing poses a practical challenge due to the sheer size and cost of many industrial billets, which, in many cases, cannot be sacrificed for the purposes of destructive microstructural characterisation.…”

Section: Introductionmentioning

confidence: 99%

Miniaturised Experimental Simulation and Combined Modelling of Open-Die Forging of Ti-6al-4v Titanium Alloy

Connolly,

Fabris,

Sivaswamy

et al. 2023

Preprint

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On the effect of deformation conditions on the metal flow behavior during upsetting process using finite element simulation DEFORM 3D software

Obiko,

Shongwe,

Malatji

2024

Int J Interact Des Manuf

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The study reports on the metal flow behaviour during upsetting or forging using the finite element method. Forging simulation studied the metal flow behaviour of a laboratory-sized specimen and a cylindrical engine connecting rod specimen of AISI 52100 high-chromium steel specified in the software database. The focus was to study the effect of deformation conditions (temperature and die velocity) on metal flow behaviour during forging. The simulation results showed heterogeneous metal flow behaviour during forging. Hence, this indicates that effective flow stress and flow strain, particle flow velocity, effective strain rate, damage and temperature distribution exhibited inhomogeneous deformation behaviour. As the temperature increased, the forging load decreased, thus a decrease in deformation resistance. The simulation of the engine connecting rod further confirmed inhomogeneous deformation during forging. Damage coefficient results show that the crack pin end had a higher damage probability during forging. This study clearly showed that finite element simulation can predict metal flow behaviour during the forging of AISI 52100 steel. The study output provides a basis for analysing and optimising most industrial metal forming processes using a numerical simulation approach. Hence, this method is effective in predicting flow behaviour.

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Numerical analysis of strains and stresses in the hot cogging process

Cited by 7 publications

References 12 publications

Numerical simulation on the effect of sample geometry size on the metal flow behaviour during the forging process

Numerical simulation on the effect of sample geometry size on the metal flow behaviour during the forging process

Miniaturised Experimental Simulation and Combined Modelling of Open-Die Forging of Ti-6al-4v Titanium Alloy

On the effect of deformation conditions on the metal flow behavior during upsetting process using finite element simulation DEFORM 3D software

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