Reverse 4D Materials Engineering: Its framework and recent evolution

Toda, Hiroyuki; Batres, Rafael; Kuwazuru, Osamu; Kobayashi, Masakazu; Hosokawa, Akihide

doi:10.2464/jilm.64.518

Cited by 4 publications

(3 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is highly possible to bring about an innovation in materials manufacturing process if those techniques are successfully combined. A new concept called Reverse 4D Materials Engineering (R4ME) has been proposed by Toda et al [14]. In R4ME, the above mentioned techniques (3D/4D imaging, 4D image quantitative analysis, IB-FEA) and the data filtering/optimization processes will be concurrently mixed.…”

Section: Introductionmentioning

confidence: 99%

Ductile fracture via hydrogen pore mechanism in an aluminum alloy; quantitative microstructural analysis and image-based finite element analysis

Hosokawa

Toda

Batres

et al. 2016

Materials Science and Engineering: A

Self Cite

View full text Add to dashboard Cite

Section: Introductionmentioning

confidence: 99%

Ductile fracture via hydrogen pore mechanism in an aluminum alloy; quantitative microstructural analysis and image-based finite element analysis

Hosokawa

Toda

Batres

et al. 2016

Materials Science and Engineering: A

Self Cite

View full text Add to dashboard Cite

“…Subsequently, a new surrogate model is generated, completing one iteration. The procedure is repeated until the termination criterion is reached 1 . The main elements of the methodology are explained in the following subsections.…”

Section: Methodsmentioning

confidence: 99%

“…Contrasting to the conventional material development process, the ongoing project Reverse 4D Materials Engineering aims at rapid development of high-performance materials [1]. The objective of the project is to develop methods and tools that generate the optimum microstructure structure with a minimum computational effort.…”

Section: Introductionmentioning

confidence: 99%

Identification of material properties using nanoindentation and surrogate modeling

Gutierrez²,

Toda

et al. 2016

International Journal of Solids and Structures

Self Cite

View full text Add to dashboard Cite

In theory, identification of material properties of microscopic materials, such as thin film or single crystal, could be carried out with physical experimentation followed by simulation and optimization to fit the simulation result to the experimental data. However, the optimization with a number of finite element simulations tends to be computationally expensive. This paper proposes an identification methodology based on nanoindentation that aims at achieving a small number of finite element simulations. The methodology is based on the construction of a surrogate model using artificial neural-networks. A sampling scheme is proposed to improve the quality of the surrogate model. In addition, the differential evolution algorithm is applied to identify the material parameters that match the surrogate model with the experimental data.The proposed methodology is demonstrated with the nanoindentation of an aluminum matrix in a die cast aluminum alloy. The result indicates that the methodology has good computational efficiency and accuracy.

show abstract

4D Image Analysis

Toda

2021

X-Ray CT

View full text Add to dashboard Cite

Reverse 4D Materials Engineering: Its framework and recent evolution

Cited by 4 publications

References 24 publications

Ductile fracture via hydrogen pore mechanism in an aluminum alloy; quantitative microstructural analysis and image-based finite element analysis

Ductile fracture via hydrogen pore mechanism in an aluminum alloy; quantitative microstructural analysis and image-based finite element analysis

Identification of material properties using nanoindentation and surrogate modeling

4D Image Analysis

Contact Info

Product

Resources

About