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Model-Based Material and Process Definitions for Additive Manufactured Component Design and Qualification
Physics-based materials and process modeling has developed to the point where it is supporting the design and qualification of new components produced by many processes, including additive manufacturing (AM). ...
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Article
Open AccessGenerative adversarial network (GAN) enabled Statistically equivalent virtual microstructures (SEVM) for modeling cold spray formed bimodal polycrystals
Image-based micromechanical models, necessary for the development of structure-property-response relations, are far from mature for complex microstructures with multi-modal distributions of morphological and c...
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Ultra-wide bandwidth all-solid specialty bandgap fiber for ultrashort pulse delivery
We present a specialty photonic bandgap fiber (PBG) with multiple concentric cores based on the one-dimensional (1D) photonic crystal geometry in an all-solid form. It comprises three sets of tailored bilayer ...
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Itraconazole Confers Cytoprotection Against Neurodegenerative Disease-Associated Abnormal Protein Aggregation
Cells perform regular maintenance to avoid the accumulation of misfolded proteins. Prolonged accumulation of these proteotoxic inclusions generates potential risk of ageing-related diseases such as neurodegene...
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PRADAN: Institution Building for Sustainable Development
Initiated through a model of providing professional assistance in mitigating developmental and social issues, PRADAN serves as an example of a new-age social development organization that works at the intersec...
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Boundedness and uniqueness of quaternion Weyl transform
In this article, we prove that the quaternion Weyl transform (QWT) is a compact operator on \(L^2({\mathbb {R}}^2,\mathbb Q)\) ...
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Open AccessData-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 approach is developed, identifyi...
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WATMUS: Wavelet Transformation-Induced Multi-time Scaling for Accelerating Fatigue Simulations at Multiple Spatial Scales
This paper establishes the wavelet transformation induced multi-time scaling (WATMUS) method as an enabler for modeling fatigue crack nucleation at microstructural and structural scales of polycrystalline meta...
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Uncertainty Quantified Parametrically Homogenized Constitutive Models for Microstructure-Integrated Structural Simulations
This paper investigates the role of material microstructures in structural analysis and establishes the need for microstructure-integrated constitutive models in predicting structural response. A focus is on ...
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Machine Learning-Aided Parametrically Homogenized Crystal Plasticity Model (PHCPM) for Single Crystal Ni-Based Superalloys
This article establishes a multiscale modeling framework for the parametrically homogenized crystal plasticity model (PHCPM) for single crystal Ni-based superalloys. The PHCPMs explicitly incorporate morpholog...
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Highly sensitive refractive index sensor based on degeneracy in specialty optical fibers: a new approach
We study the phenomenon of deliberate inter-modal interactions in a specially designed index guided Microstructured Optical Fiber (MOF) by exploiting multipole expansion method (White et al. 2002). The MOF is des...
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Finite deformation cohesive zone phase field model for crack propagation in multi-phase microstructures
This paper develops a unified phase field model for simulating finite deformation crack evolution and interfacial decohesion in multi-phase elastic materials. Crack propagation is formulated using a phase fiel...
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Open AccessUncertainty-quantified parametrically homogenized constitutive models (UQ-PHCMs) for dual-phase α/β titanium alloys
This paper develops an uncertainty-quantified parametrically homogenized constitutive model (UQ-PHCM) for dual-phase α/β titanium alloys such as Ti6242S. Their microstructures are characterized by primary α-grain...
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Reference Work Entry In depth
Recent Advances in Crystal Plasticity Modeling
Chapters in this section introduce recent advances in computational models and numerical methods for establishing a physics-based understanding of crystal plasticity, starting from atomistic models of dislocat...
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Chapter
Microstructural Statistics Informed Boundary Conditions for Statistically Equivalent Representative Volume Elements (SERVEs) of Polydispersed Elastic Composites
The statistically equivalent RVE or P-SERVE have been introduced in Swaminathan et al. (J Compos Mater 40(7):583–604, 2006) and Ghosh (Micromechanical analysis and multi-scale modeling using the voronoi cell f...
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Reference Work Entry In depth
Advances in Computational Mechanics to Address Challenges in Crystal Plasticity FEM
Image-based computational models are essential for predicting microstructure-property relationships. Crystal plasticity finite element models, or CPFEM, constitute a major part of these computational models. T...
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Chapter
Multi-scale Microstructure and Property-Based Statistically Equivalent RVEs for Modeling Nickel-Based Superalloys
This chapter discusses fundamental aspects of the development of statistically equivalent virtual microstructures (SEVMs) and microstructure and property-based statistically equivalent representative volume eleme...
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Reference Work Entry In depth
Develo** Virtual Microstructures and Statistically Equivalent Representative Volume Elements for Polycrystalline Materials
This chapter introduces computational methods for generating virtual material microstructures of engineering materials with heterogeneities. Microstructures of polycrystalline materials containing localized fe...
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Coupled phase field finite element model for crack propagation in elastic polycrystalline microstructures
This paper is aimed at the development of a coupled finite element-phase field modeling framework for simulating fracture processes in anisotropic elastic materials under finite deformation conditions with ten...
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Multiscale Computational Strategies for Heterogeneous Materials with Defects: Coupling Modeling with Experiments and Uncertainty Quantification
