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A multiscale material model for heterogeneous liquid droplets in solid soft composites

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 5,   Pages 1292-1299 doi: 10.1007/s11709-021-0771-3

Abstract: In contrary with conventional composites, which are made of solid elastic inclusions, available materialcomposites including liquid droplets are for highly idealized configurations and do not include all materialavailable models for liquid droplets in solid soft composites and presents a multiscale computational materialDifferent micromechanical material models are incorporated into the presented computational framework

Keywords: liquid in solid     soft composite     computational modeling     multiscale model     heterogeneity    

Steel Design by Advanced Analysis: Material Modeling and Strain Limits Research Article

Leroy Gardner, Xiang Yun, Andreas Fieber, Lorenzo Macorini

Engineering 2019, Volume 5, Issue 2,   Pages 243-249 doi: 10.1016/j.eng.2018.11.026

Abstract: Furthermore, by performing an advanced analysis that accounts for both geometric and material nonlinearitiesharnessed, provided a suitably accurate stress–strain relationship is adopted; a quad-linear material

Keywords: Advanced analysis     Continuous strength method     Local buckling     Material modeling     Strain limits    

Macro-architectured cellular materials: Properties, characteristic modes, and prediction methods

Zheng-Dong MA

Frontiers of Mechanical Engineering 2018, Volume 13, Issue 3,   Pages 442-459 doi: 10.1007/s11465-018-0488-8

Abstract:

Macro-architectured cellular (MAC) material is defined as a class of engineered materials having configurablerelatively large (i.e., visible) size that can be architecturally designed to achieve various desired materialTwo types of novel MAC materials, negative Poisson’s ratio material and biomimetic tendon reinforcedmaterial, were introduced in this study.of suitable homogenization methods was developed that provided an effective means for the multiscale modeling

Keywords: architectured material     cellular materials     multi-scale modeling     homogenization method     effective material    

Hybrid Data-Driven and Mechanistic Modeling Approaches for Multiscale Material and Process Design Perspective

Teng Zhou, Rafiqul Gani, Kai Sundmacher

Engineering 2021, Volume 7, Issue 9,   Pages 1231-1238 doi: 10.1016/j.eng.2020.12.022

Abstract: material is used, it is essential to perform material and process design simultaneously.Hybrid modeling provides a promising option to tackle such complex design problems.In hybrid modeling, the material properties, which are computationally expensive to obtain, are describedThis article highlights the significance of hybrid modeling in multiscale material and process designFor each selected area, state-ofthe- art work using hybrid modeling for multiscale material and process

Keywords: Data-driven     Surrogate model     Machine learning     Hybrid modeling     Material design     Process optimization    

Smart systems engineering contributing to an intelligent carbon-neutral future: opportunities, challenges, and prospects

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 6,   Pages 1023-1029 doi: 10.1007/s11705-022-2142-6

Abstract: This communication paper provides an overview of multi-scale smart systems engineering (SSE) approaches and their applications in crucial domains including materials discovery, intelligent manufacturing, and environmental management. A major focus of this interdisciplinary field is on the design, operation and management of multi-scale systems with enhanced economic and environmental performance. The emergence of big data analytics, internet of things, machine learning, and general artificial intelligence could revolutionize next-generation research, industry and society. A detailed discussion is provided herein on opportunities, challenges, and future directions of SSE in response to the pressing carbon-neutrality targets.

Keywords: machine learning     modeling     material     industrial applications     environment    

Modeling process-structure-property relationships for additive manufacturing

Wentao YAN, Stephen LIN, Orion L. KAFKA, Cheng YU, Zeliang LIU, Yanping LIAN, Sarah WOLFF, Jian CAO, Gregory J. WAGNER, Wing Kam LIU

Frontiers of Mechanical Engineering 2018, Volume 13, Issue 4,   Pages 482-492 doi: 10.1007/s11465-018-0505-y

Abstract:

This paper presents our latest work on comprehensive modeling of process-structure-property relationshipsTo illustrate the process-structure relationship, the multi-scale multi-physics process modeling startshigh-efficiency mechanistic model, self-consistent clustering analyses, is developed to capture a variety of material

Keywords: additive manufacturing     thermal fluid flow     data mining     material modeling    

Liquid metal material genome: Initiation of a new research track towards discovery of advanced energy

Lei WANG, Jing LIU

Frontiers in Energy 2013, Volume 7, Issue 3,   Pages 317-332 doi: 10.1007/s11708-013-0271-9

Abstract: With many superior physical properties over conventional fluids, the low melting point liquid metal materialInspired by the Material Genome Initiative as issued in 2011 by the United States of America, a morespecific and focused project initiative was proposed in this paper—the liquid metal material genome aimedThe theoretical strategies and experimental methods in the research and development of liquid metal materialParticularly, the calculation of phase diagram (CALPHAD) approach as a highly effective way for material

Keywords: liquid metal material genome     energy material     material discovery     advanced material     room-temperature liquid    

Robust topology optimization of multi-material lattice structures under material and load uncertainties

Yu-Chin CHAN, Kohei SHINTANI, Wei CHEN

Frontiers of Mechanical Engineering 2019, Volume 14, Issue 2,   Pages 141-152 doi: 10.1007/s11465-019-0531-4

Abstract: Enabled by advancements in multi-material additive manufacturing, lightweight lattice structures consistingThis work proposes a density-based robust topology optimization method for meso- or macro-scale multi-materiallattice structures under any combination of material and load uncertainties.The method utilizes a new generalized material interpolation scheme for an arbitrary number of materialsExamples of a cantilever beam lattice structure under various material and load uncertainty cases exhibit

Keywords: robust topology optimization     lattice structures     multi-material     material uncertainty     load uncertainty    

Thoughts on Scientific Issues in Engineering Material Research

yuqiao

Strategic Study of CAE 1999, Volume 1, Issue 3,   Pages 1-4

Abstract: Although some achievements have been accumulated in material research at home and abroad, deeper investigationsare still needed on a more precise model and state equation corresponding to the damage of a specific materialand the erosion of the space articles as well as the increase of the retreat value of the protection materialbelong to the response of materials to high speed collision.Electromagnetic materials such as radome material, infrared stealth material and EM shielding material are all EM functioning materials with EM wave of

Keywords: material for radome     wave absorbing material     infrared stealth material     EMC material    

A novel approach to minimizing material loss for computer numerical control flank-regrinding of worn

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 3, doi: 10.1007/s11465-023-0757-z

Abstract: However, the traditional method involves material waste by trial and error and dramatically decreasesstudy presented a new approach to planning the wheel path for regrinding worn end mills to minimize materialResults showed that the proposed approach could save 25% of cutter material compared with the traditionalThis work effectively provides a general regrinding solution for the worn flank with maximum material-saving

Keywords: flank-regrinding     worn end mill     wheel position and orientation     material loss     over-cut    

A MATLAB code for the material-field series-expansion topology optimization method

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 3,   Pages 607-622 doi: 10.1007/s11465-021-0637-3

Abstract: This paper presents a MATLAB implementation of the material-field series-expansion (MFSE) topo-logy optimizationThe MFSE method uses a bounded material field with specified spatial correlation to represent the structuralWith the series-expansion method for bounded fields, this material field is described with the characteristic

Keywords: MATLAB implementation     topology optimization     material-field series-expansion method     bounded material    

Influence of soft rock-fill material as dam embankment with central bituminous concrete membrane

Peter TSCHERNUTTER

Frontiers of Structural and Civil Engineering 2011, Volume 5, Issue 1,   Pages 63-70 doi: 10.1007/s11709-010-0016-3

Abstract: This paper demonstrates the difficulties in determining the relevant material parameters for a valuationLaboratory as well as field tests on solid rock-fill material were performed before the beginning of

Keywords: embankment dam     bituminous concrete membrane     rock-fill material properties     deformation behavior    

Effects of sheet thickness and material on the mechanical properties of flat clinched joint

Chao CHEN, Huiyang ZHANG, Shengdun ZHAO, Xiaoqiang REN

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 2,   Pages 410-419 doi: 10.1007/s11465-020-0618-y

Abstract: In this paper, the effects of sheet thickness and material on the mechanical properties of the clinchedand Al2024 sheets with 2 mm thickness were employed to develop the clinched joint by using different material

Keywords: clinched joint     flat clinching process     thickness configuration     material configuration     mechanical property    

Data Centric Design: A New Approach to Design of Microstructural Material Systems Article

Wei Chen, Akshay Iyer, Ramin Bostanabad

Engineering 2022, Volume 10, Issue 3,   Pages 89-98 doi: 10.1016/j.eng.2021.05.022

Abstract: storage, microstructure characterization and reconstruction (MCR), machine learning (ML), materials modelingexperimentation have significantly advanced researchers’ abilities in building PSP relations and inverse material

Keywords: informatics     Machine learning     Microstructure     Reconstruction     Bayesian optimization     Mixed-variable modeling    

A critical review of preparation design and workability measurement of concrete material for largescale

Guowei MA, Li WANG

Frontiers of Structural and Civil Engineering 2018, Volume 12, Issue 3,   Pages 382-400 doi: 10.1007/s11709-017-0430-x

Abstract: Critical factors that should be particularly controlled in material preparation are specified.Finally, a few of evaluation methods are presented which may offer certain assistance for optimizing material

Keywords: 3D printing     concrete material     printable property     workability measurement     construction automation    

Title Author Date Type Operation

A multiscale material model for heterogeneous liquid droplets in solid soft composites

Journal Article

Steel Design by Advanced Analysis: Material Modeling and Strain Limits

Leroy Gardner, Xiang Yun, Andreas Fieber, Lorenzo Macorini

Journal Article

Macro-architectured cellular materials: Properties, characteristic modes, and prediction methods

Zheng-Dong MA

Journal Article

Hybrid Data-Driven and Mechanistic Modeling Approaches for Multiscale Material and Process Design

Teng Zhou, Rafiqul Gani, Kai Sundmacher

Journal Article

Smart systems engineering contributing to an intelligent carbon-neutral future: opportunities, challenges, and prospects

Journal Article

Modeling process-structure-property relationships for additive manufacturing

Wentao YAN, Stephen LIN, Orion L. KAFKA, Cheng YU, Zeliang LIU, Yanping LIAN, Sarah WOLFF, Jian CAO, Gregory J. WAGNER, Wing Kam LIU

Journal Article

Liquid metal material genome: Initiation of a new research track towards discovery of advanced energy

Lei WANG, Jing LIU

Journal Article

Robust topology optimization of multi-material lattice structures under material and load uncertainties

Yu-Chin CHAN, Kohei SHINTANI, Wei CHEN

Journal Article

Thoughts on Scientific Issues in Engineering Material Research

yuqiao

Journal Article

A novel approach to minimizing material loss for computer numerical control flank-regrinding of worn

Journal Article

A MATLAB code for the material-field series-expansion topology optimization method

Journal Article

Influence of soft rock-fill material as dam embankment with central bituminous concrete membrane

Peter TSCHERNUTTER

Journal Article

Effects of sheet thickness and material on the mechanical properties of flat clinched joint

Chao CHEN, Huiyang ZHANG, Shengdun ZHAO, Xiaoqiang REN

Journal Article

Data Centric Design: A New Approach to Design of Microstructural Material Systems

Wei Chen, Akshay Iyer, Ramin Bostanabad

Journal Article

A critical review of preparation design and workability measurement of concrete material for largescale

Guowei MA, Li WANG

Journal Article