Integrated computational materials engineering for advanced automotive technology: with focus on life cycle of automotive body structure
Integrated computational materials engineering (ICME) is a simulation‐driven design
approach that employs multiscale‐multiphysics modeling and is based on the …
approach that employs multiscale‐multiphysics modeling and is based on the …
[HTML][HTML] Experimental and computational analysis of structure-property relationship in carbon fiber reinforced polymer composites fabricated by selective laser …
A fundamental understanding of structure-property relationship of carbon fiber reinforced
polymer (CFRP) composites fabricated by selective laser sintering (SLS) is essential to …
polymer (CFRP) composites fabricated by selective laser sintering (SLS) is essential to …
Microstructure-guided deep material network for rapid nonlinear material modeling and uncertainty quantification
Modeling nonlinear materials with arbitrary microstructures and loading paths is crucial in
structural analyses with heterogeneous materials with uncertainty. However, it is …
structural analyses with heterogeneous materials with uncertainty. However, it is …
Harnessing structural stochasticity in the computational discovery and design of microstructures
This paper presents a deep generative model-based design methodology for tailoring the
structural stochasticity of microstructures. Although numerous methods have been …
structural stochasticity of microstructures. Although numerous methods have been …
LS-DYNA machine learning–based multiscale method for nonlinear modeling of short fiber–reinforced composites
Short fiber–reinforced composites (SFRCs) are high-performance engineering materials for
lightweight structural applications in the automotive and electronics industries. Typically …
lightweight structural applications in the automotive and electronics industries. Typically …
[HTML][HTML] A probabilistic virtual process chain to quantify process-induced uncertainties in Sheet Molding Compounds
The manufacturing process of Sheet Molding Compound (SMC) influences the properties of
a component in a non-deterministic fashion. To predict this influence on the mechanical …
a component in a non-deterministic fashion. To predict this influence on the mechanical …
[HTML][HTML] Spatial variability and characteristic length-scales of strain fields in tow-based discontinuous composites: Characterisation and modelling
Abstract Tow-Based Discontinuous Composites (TBDCs, composed by chopped carbon-
fibre tows embedded in polymer) combine high performance with manufacturability; the …
fibre tows embedded in polymer) combine high performance with manufacturability; the …
Computational homogenization of sheet molding compound composites based on high fidelity representative volume elements
Sheet molding compound (SMC) composites combine high lightweight potential with
excellent formability and are frequently used in industrial applications. To reduce safety …
excellent formability and are frequently used in industrial applications. To reduce safety …
[HTML][HTML] Integrative analysis for prediction of process-induced, orientation-dependent tensile properties in a stochastic prepreg platelet molded composite
Prepreg platelet molded composite (PPMC) is derived from compression molded pieces of
chopped unidirectional prepreg tape. The properties of a stochastic PPMC arise from the …
chopped unidirectional prepreg tape. The properties of a stochastic PPMC arise from the …
Transfer learning of deep material network for seamless structure–property predictions
Modern materials design requires reliable and consistent structure–property relationships.
The paper addresses the need through transfer learning of deep material network (DMN). In …
The paper addresses the need through transfer learning of deep material network (DMN). In …