Physics-infused deep neural network for solution of non-associative Drucker–Prager elastoplastic constitutive model

Journal of the Mechanics and Physics of Solids, Journal Year: 2024, Volume and Issue: 185, P. 105570 - 105570

Published: Feb. 12, 2024

Language: Английский

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Static Recrystallization Simulation of Interstitial Free‐Steel by Coupling Multi‐Phase‐Field and Crystal Plasticity Model Considering Dislocation Density Distribution

Advanced Engineering Materials, Journal Year: 2025, Volume and Issue: unknown

Published: April 28, 2025

Knowledge of alloy recrystallization is key to optimizing microstructures and achieving superior material properties. Computational models predicting microstructural evolution during significantly enhance control microstructure formation manufacturing. Accurate prediction parameters, including fraction grain size, highly desirable. However, developing robust under various processing conditions remains an active research area. Herein, using interstitial free‐steel for simulations experiments, plastic deformation polycrystalline simulated a physics‐based crystal plasticity model. A real serves as the initial configuration. The resulting inhomogeneous dislocation density distribution deformed topology are used in multi‐phase‐field simulation recrystallization. In primary recrystallization, nucleation strongly influences kinetics final microstructure. model, predicts both number positions nuclei. Comparing simulations—one considering other assuming constant random seed positioning—demonstrates importance heterogeneous distribution. Results confirm that static simulations, accurately reflecting utilizing driving force growth nucleation, can be successfully performed proposed

Language: Английский

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High-resolution simulating of grain substructure in cold rolling and its effects on primary recrystallization in annealing of ferritic stainless steel

Journal of Materials Research and Technology, Journal Year: 2024, Volume and Issue: 30, P. 40 - 51

Published: March 12, 2024

In this study, an integrated crystal plasticity and cellular automaton (CA) model has been developed employed to investigate the processes of cold rolling annealing in ferritic stainless steel. Crystal simulates deformation microstructure, texture corresponding dislocation density distribution rolled Meanwhile, CA predicts microstructural evolution originating from nucleation growth. The resolution improved using a newly remeshing technique, which allows for capture grain substructure microstructure. validated by experimental measurements with electron backscatter diffraction (EBSD) terms comparing orientation functions (ODFs), misorientation, local substructures, size. good agreement between simulations experiments indicates that is reliable efficient predicting microstructure evolutions during subsequent annealing.

Language: Английский

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External stress induced pseudo-spinodal transformation pathway with reduced lamellar size in γ-TiAl alloys

Rare Metals, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 31, 2025

Language: Английский

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Defects in metal-forming: formation mechanism, prediction and avoidance

International Journal of Machine Tools and Manufacture, Journal Year: 2025, Volume and Issue: unknown, P. 104268 - 104268

Published: March 1, 2025

Language: Английский

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State-of-the-Art Review of the Simulation of Dynamic Recrystallization

Metals, Journal Year: 2024, Volume and Issue: 14(11), P. 1230 - 1230

Published: Oct. 28, 2024

The evolution of microstructures during the hot working metallic materials determines their workability and properties. Recrystallization is an important softening mechanism in material forming that has been extensively researched recent decades. This paper comprehensively reviews basic methods applications numerical simulations dynamic recrystallization (DRX). advantages shortcomings simulation are evaluated. Mean field models used to implicitly describe DRX process embedded into a finite element (FE) program for forming. These provide volume fraction average grain size FE results without requiring extra computational resources. However, they do not accurately microphysical mechanism, leading lower accuracy. On other hand, full explicitly predict topology on mesoscopic scale, fully considering microscopic physical mechanism. enhances accuracy but requires significant amount Recently, coupling with polycrystal plasticity precipitation rapidly developed, more influencing factors microscale. Furthermore, integration evolving machine learning potential significantly improve efficiency simulation.

Language: Английский

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A new Ti–Al–Cr–Mo–Zr titanium alloy welding wire: Stability, microstructure and mechanical properties

Journal of Materials Research and Technology, Journal Year: 2024, Volume and Issue: 32, P. 23 - 36

Published: July 23, 2024

In order to improve the plasticity of titanium alloy welded joints, relevant scholars currently focus primarily on studying mechanism action alloying elements Mo and V, such as reducing phase transition temperature seam ensuring a certain amount β residue in seam. addition improving stability strengthening ability joint, it can also maintain degree joint. However, poor impact toughness is still key problem that restricts its long-term stable service harsh environment. Our work designed developed new Ti–Al–Cr–Mo–Zr solid welding wire, with synergistic effect Al, Cr, Zr, microstructure grain be refined while enough stiffness wire flatness during feeding into designated working area. It ensures good wetting spreading flow performance liquid molten pool metal process, so better formation obtained. The relative contents α′ martensite are 76.79% 23.21%, respectively. residual interspersed between slats. provides path for plastic deformation making easier dislocation slip pass β/α′ interface. At same time, more channels small number fine twins found interior martensite, which ensure strength taking account toughness. After testing, average tensile joints 901 MPa, close 95% base (BM), post-fracture elongation 21%, value at room distributed 25 J 33 J, meets requirements joint suitable Ti64 structure under conditions.

Language: Английский

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An evolutionary analysis method for small cracks in drive shafts based on cross-scale modeling

Engineering Failure Analysis, Journal Year: 2024, Volume and Issue: 167, P. 109062 - 109062

Published: Nov. 9, 2024

Language: Английский

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Effect of α configuration on recrystallization uniformity and grain refinement of TC18 alloy during thermomechanical treatment

Journal of Alloys and Compounds, Journal Year: 2024, Volume and Issue: unknown, P. 178149 - 178149

Published: Dec. 1, 2024

Language: Английский

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Effect of Plastic Deformability and Fracture Behaviour on Interfacial Toughening Mechanism at Fe/Ni Interfaces

Published: Jan. 1, 2024

Fracture at interface causes plastic deformation in the vicinity region. Conventional energy dissipation theory indicates that ductile toughens by absorbing energy. However, microstructure directly affects local deformability and fracture behaviour, implying a more complicated toughening mechanism. In this study, effect of hardness on behaviour Fe/Ni was investigated. By experimental approach, interfaces with without dynamic recrystallization (DRX) were fabricated controlling bonding conditions. It showed compression-induced is main source hardening vicinity. Moreover, hardened DRX vicinities exhibited improved toughness, which inconsistent to theory. To clarify observation, crystal plasticity FEM (CPFEM) approach employed distinguish effects interfacial microstructure. The result although higher absorbs dissipated energy, severe stress concentration leads early poor toughness. On other hand, DRXed grains disperse distribution provide potential sub-crack sites. A combined uniform responsible for toughness grains.

Language: Английский

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