Statistically equivalent representative volume elements (SERVE) for material behaviour analysis and multiscale modelling
Mechanical properties of materials and associated engineered components are controlled
by the material structure at various lengths and time scales. As materials are being further …
by the material structure at various lengths and time scales. As materials are being further …
Hierarchical multiscale crystal plasticity framework for plasticity and strain hardening of multi-principal element alloys
The multi-principal element alloys (MPEAs) exhibit the unprecedented combinations of the
excellent mechanical properties, especially high strength and good ductility. However, the …
excellent mechanical properties, especially high strength and good ductility. However, the …
Machine learning-enabled self-consistent parametrically-upscaled crystal plasticity model for Ni-based superalloys
This paper introduces a concurrent multiscale modeling framework for developing
parametrically-upscaled crystal plasticity models (PUCPM) for crystalline metals that are …
parametrically-upscaled crystal plasticity models (PUCPM) for crystalline metals that are …
Data-driven Bayesian model-based prediction of fatigue crack nucleation in Ni-based superalloys
This paper develops a Bayesian inference-based probabilistic crack nucleation model for
the Ni-based superalloy René 88DT under fatigue loading. A data-driven, machine learning …
the Ni-based superalloy René 88DT under fatigue loading. A data-driven, machine learning …
Simulated effects of sample size and grain neighborhood on the modeling of extreme value fatigue response
Assessing the size of representative volume elements (RVEs) for fatigue-related
applications is challenging. A RVE relevant to random microstructure requires a volume of …
applications is challenging. A RVE relevant to random microstructure requires a volume of …
Modeling fatigue behavior of additively manufactured alloys with an emphasis on pore defect morphology
Additively manufactured (AM) materials are prone to porosity, which limits their widespread
adoption in fatigue-limited applications. Experimental campaigns are vital in understanding …
adoption in fatigue-limited applications. Experimental campaigns are vital in understanding …
PRISMS-Fatigue computational framework for fatigue analysis in polycrystalline metals and alloys
The PRISMS-Fatigue open-source framework for simulation-based analysis of
microstructural influences on fatigue resistance for polycrystalline metals and alloys is …
microstructural influences on fatigue resistance for polycrystalline metals and alloys is …
A hybrid prediction frame for HEAs based on empirical knowledge and machine learning
S Hou, M Sun, M Bai, D Lin, Y Li, W Liu - Acta Materialia, 2022 - Elsevier
Phase formation plays key role in the properties of high-entropy alloys (HEAs). If the phases
of HEAs can be accurately predicted, the number of experiments can be greatly reduced …
of HEAs can be accurately predicted, the number of experiments can be greatly reduced …
Developing parametrically upscaled constitutive and crack nucleation models for the α/β Ti64 alloy
Abstract This paper develops Parametrically Upscaled Constitutive Model (PUCM) and the
Parametrically Upscaled Crack Nucleation Model (PUCNM) for a commercially used α/β …
Parametrically Upscaled Crack Nucleation Model (PUCNM) for a commercially used α/β …
Comparison of full field predictions of crystal plasticity simulations using the Voce and the dislocation density based hardening laws
CS Patil, S Chakraborty, SR Niezgoda - International Journal of Plasticity, 2021 - Elsevier
Crystal plasticity modeling and simulation is an important predictive tool for understanding
the deformation of polycrystalline materials under diverse loading conditions. The validity …
the deformation of polycrystalline materials under diverse loading conditions. The validity …