2018
DOI: 10.4028/www.scientific.net/ddf.385.449
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Simulation of Deformation Behavior and Microstructure Evolution during Hot Forging of TC11 Titanium Alloy

Abstract: Finite element method is the most powerful tool for development and optimization of the metal forming processes. Analysis of titanium alloy critical parts should include the prediction of microstructure since their mechanical and technological properties essentially depend on the type and parameters of the microstructure. The technological process of parts production for aerospace applications is multi-operational and consists of deformation, heating and cooling stages. Therefore, it is necessary to simulate t… Show more

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Cited by 7 publications
(2 citation statements)
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“…Numerical modeling was conducted by means of the commercial program QForm3D v.10, based on finite element method (FEM) with use of Voronoi cell algorithm, used in advanced multistage hot forging and microstructure transformation simulation [ 37 , 38 , 39 , 40 ].…”
Section: Models and Assumptionsmentioning
confidence: 99%
“…Numerical modeling was conducted by means of the commercial program QForm3D v.10, based on finite element method (FEM) with use of Voronoi cell algorithm, used in advanced multistage hot forging and microstructure transformation simulation [ 37 , 38 , 39 , 40 ].…”
Section: Models and Assumptionsmentioning
confidence: 99%
“…The prediction of metal flow with high accuracy during forging processes enables to simulate owing to the high quality of the used algorithms in the software based on FEM. This approach allows reduction of costs of the trial-error sampling, not only in the implementation of new technology but also the modernization of existing technology especially in the field of complex-shaped and extremely complex-shaped forging elements (Alimov et al, 2018;Ellinghausen, 2013). The commercial software allows to conduct a number of simulations of the forging processes in order to assess the geometry of the deformation zone.…”
Section: Numerical Modelling Of Forging Defectsmentioning
confidence: 99%