Metaverse and AI Digital Twinning of 42SiCr Steel Alloys

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68081723%3A_____%2F23%3A00570497" target="_blank" >RIV/68081723:_____/23:00570497 - isvavai.cz</a>

Alternative codes found

RIV/49777513:23220/23:43968164 RIV/49777513:23520/23:43968164

Result on the web

<a href="https://www.mdpi.com/2227-7390/11/1/4" target="_blank" >https://www.mdpi.com/2227-7390/11/1/4</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/math11010004" target="_blank" >10.3390/math11010004</a>

Result language

angličtina

Original language name

Metaverse and AI Digital Twinning of 42SiCr Steel Alloys

Original language description

Digital twins are the most important parts of Cyber-Physical Systems (CPSs), and play a crucial role in the realization of the Metaverse. Therefore, two important factors: flexibility and adaptability, need to be focused on digital twinning systems. From a virtual perspective, constructing buildings, structures, and mechanisms in the Metaverse requires digital materials and components. Hence, accurate and reliable digital models can guarantee the success of implementation, particularly when it comes to completing physical twins in the real world. Accordingly, four Machine Learning (ML) methods to make digital twins of an advanced 42SiCr alloy considering all of its uncertainties and non-linearities have been employed in this paper. These ML methods accelerate the digitalization of the proposed alloy and allow users to employ them for a wide range of similar metals. Based on this technique, producers can borrow these virtual materials and build their structures in the Metaverse. This way, if the properties of the materials were satisfactory, they might buy them and start manufacturing their products. As a case study, we focus on digital twining of an 42SiCr steel with some influential factors in its mechanical properties, making the nature of the alloy complex. Processes, including heat treatment, may restore the material's deformability, however, Quenching and Partitioning (Q&P) not only eliminates the impact of cold forming but also provides advanced high-strength steel (AHSS) properties. In this research, the combined impacts of different Q&P treatments were investigated on the mechanical properties of 42SiCr steel alloy. The results have shown the acceptability and accuracy of the proposed ML methods in realizing the digital twins of this complex alloy.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

20303 - Thermodynamics

Project

<a href="/en/project/GX21-02203X" target="_blank" >GX21-02203X: Beyond properties of current top performance alloys</a><br>

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Mathematics

ISSN

2227-7390

e-ISSN

2227-7390

Volume of the periodical

11

Issue of the periodical within the volume

1

Country of publishing house

CH - SWITZERLAND

Number of pages

23

Pages from-to

4

UT code for WoS article

000909248900001

EID of the result in the Scopus database

2-s2.0-85145906268