Understanding and design of metallic alloys guided by phase-field simulations
Y Zhao - npj Computational Materials, 2023 - nature.com
Phase-field method (PFM) has become a mainstream computational method for predicting
the evolution of nano and mesoscopic microstructures and properties during materials …
the evolution of nano and mesoscopic microstructures and properties during materials …
Multiphysics multi-scale computational framework for linking process–structure–property relationships in metal additive manufacturing: a critical review
This review article provides a critical assessment of the progress made in computational
modelling of metal-based additive manufacturing (AM) with emphasis on its ability to predict …
modelling of metal-based additive manufacturing (AM) with emphasis on its ability to predict …
[HTML][HTML] 金属增材制造若干关键力学问题研究进展
廉艳平， 王潘丁， 高杰， 刘继凯， 李取浩， 刘长猛… - 力学进展, 2021 - lxjz.cstam.org.cn
金属增材制造是一种兼顾复杂结构和高性能构件成形需求的颠覆性制造技术, 在航空, 航天,
交通, 核电等领域具有广阔的应用前景和发展空间. 该技术大规模推广应用所面临的制造效率和 …
交通, 核电等领域具有广阔的应用前景和发展空间. 该技术大规模推广应用所面临的制造效率和 …
A machine learning framework to predict local strain distribution and the evolution of plastic anisotropy & fracture in additively manufactured alloys
Abstract Machine learning (ML) approaches are widely used to develop systems or
frameworks with the ability to predict the properties of interest by learning and establishing …
frameworks with the ability to predict the properties of interest by learning and establishing …
[HTML][HTML] From CP-FFT to CP-RNN: Recurrent neural network surrogate model of crystal plasticity
Abstract Recurrent Neural Network (RNN) based surrogate models constitute an emerging
class of reduced order models of history-dependent material behavior. Recently, the authors …
class of reduced order models of history-dependent material behavior. Recently, the authors …
Effect of annealing treatment on microstructure evolution and deformation behavior of 304 L stainless steel made by laser powder bed fusion
H Zhang, C Li, G Yao, Y Shi, Y Zhang - International Journal of Plasticity, 2022 - Elsevier
This paper focuses on the microstructural evolution of 304 L austenitic stainless steel (SS)
manufactured by laser powder bed fusion (LPBF) after stress-relieving annealing (650° C) …
manufactured by laser powder bed fusion (LPBF) after stress-relieving annealing (650° C) …
Data-driven modeling of process, structure and property in additive manufacturing: A review and future directions
A thorough understanding of complex process-structure-property (PSP) relationships in
additive manufacturing (AM) has long been pursued due to its paramount importance in …
additive manufacturing (AM) has long been pursued due to its paramount importance in …
A review of FE-FFT-based two-scale methods for computational modeling of microstructure evolution and macroscopic material behavior
The overall, macroscopic constitutive behavior of most materials of technological importance
such as fiber-reinforced composites or polycrystals is very much influenced by the …
such as fiber-reinforced composites or polycrystals is very much influenced by the …
[HTML][HTML] Effect of printing direction and thickness on the mechanical behavior of SLM fabricated Hastelloy-X
An FFT based polycrystalline homogenization framework is used to predict the temperature-
dependent response of SLM parts fabricated in Hastelloy-X, and to ascertain the origin of the …
dependent response of SLM parts fabricated in Hastelloy-X, and to ascertain the origin of the …
[HTML][HTML] Experimental and computational analysis of site-specific formation of phases in laser powder bed fusion 17–4 precipitate hardened stainless steel
Additive manufacturing allows for the production of intricate geometries with reduced
material waste. However, due to the complex thermal gyrations that are linked to the …
material waste. However, due to the complex thermal gyrations that are linked to the …