United Approach to Modelling of the Hot Deformation Behavior, Fracture, and Microstructure Evolution of Austenitic Stainless AISI 316Ti Steel

Abstract

Hot deformation is one of the main technological stages of products made from metallic materials. It is strictly required to decrease the costs of developing optimized technologies at this stage without a significant decrease in the products’ quality. The present investigation offers an algorithm to unite three different models to predict the hot deformation behavior, fracture, and microstructure evolution. The hot compression and tension tests of the AISI 316Ti steel were conducted using the thermomechanical simulator Gleeble 3800 for the models’ construction. The strain-compensated constitutive model and the Johnson–Mehl–Avrami–Kolmogorov (JMAK)-type model of the grain structure evolution show a satisfactory accuracy of 4.38% and 6.9%, respectively. The critical values of the modified Rice and Tracy fracture criteria were determined using the experimental values of the relative cross-section reduction and finite element calculation of the stress triaxiality. The developed models were approved for the stainless AISI 316Ti steel by the hot torsion with tension test.

Flow Stress Modelling and 3D Processing Maps of Al4.5Zn4.5Mg1Cu0.12Zr Alloy with Different Scandium Contents

“…where 𝜀 is the strain rate (s −1 ), Q is the effective activation energy of hot deformation (J•mol −1 ) and R is the universal gas constant (8.314 J•mol −1 •K −1 ). The relation between Z and flow stress is usually described by the power function (2) for low stresses, an exponential function (3) for high levels of stress, and a hyperbolic sinus function ( 4) for all ranges of stress [21,34,35]:…”

“…Optimal technological parameters of hot deformation are important for the successful manufacture of the materials and the formation of a fine microstructure containing a minimum number of defects. Flow stress modelling and processing maps for different materials are widely used for selecting optimal parameters [18][19][20][21]. This approach was demonstrated for aluminium alloys over a wide range of strain rates and temperatures: 7075 [22], 6063 [23], 2014 [24], 5182 [25], 7085 [26], 5052 [27], and others.…”

“…Sci. 2021, 11, 4587 2 of 9 materials, such as steel [21,28], titanium [29] and aluminium alloys [30], which is why it is necessary to determine the parameters for each composition.…”

Study on Ductility Failure of Advanced High Strength Dual Phase Steel DP590 during Warm Forming Based on Extended GTN Model

“…The fracture stress and strain were obtained by finite element analysis. Churyumova T A [21] using the experimental values of the relative crosssection reduction and fifinite element calculation of the stress triaxiality got the critical values of the modified Rice and Tracy fracture criteria. Aldakheel F [22] develop a new theoretical and computational framework for the phase fifield modeling of ductile fracture in conventional elastic-plastic solids under fifinite strain deformation, and verify its accuracy by numerical simulation.…”

Damage Evolution Simulations via a Coupled Crystal Plasticity and Cohesive Zone Model for Additively Manufactured Austenitic SS 316L DED Components

“…They focused on the correlation of the melt pool size with the G-R response related to solidification and grain structures. Readers are referred to [27] for considering the effect of changing temperature during a tensile test and DRX models like JMAK when taking into account the grain evolution under tensile behavior. To the best knowledge of authors, there still exists a lack of fundamental understanding of the macroscale material behavior as a function of the microstructural properties.…”