Combined Use of Modal Analysis and Machine Learning for Materials Classification

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24410%2F21%3A00008896" target="_blank" >RIV/46747885:24410/21:00008896 - isvavai.cz</a>

Alternative codes found

RIV/46747885:24620/21:00008896

Result on the web

<a href="https://www.mdpi.com/1996-1944/14/15/4270/htm" target="_blank" >https://www.mdpi.com/1996-1944/14/15/4270/htm</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/ma14154270" target="_blank" >10.3390/ma14154270</a>

Result language

angličtina

Original language name

Combined Use of Modal Analysis and Machine Learning for Materials Classification

Original language description

The present study deals with modal work that is a type of framework for structural dynamic testing of linear structures. Modal analysis is a powerful tool that works on the modal parameters to ensure the safety of materials and eliminate the failure possibilities. The concept of classification through this study is validated for isotropic and orthotropic materials, reaching up to a 100% accuracy when deploying the machine learning approach between the mode number and the associated frequency of the interrelated variables that were extracted from modal analysis performed by ANSYS. This study shows a new classification method dependent only on the knowledge of resonance frequency of a specific material and opens new directions for future developments to create a single device that can identify and classify different engineering materials.

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

20501 - Materials engineering

Project

<a href="/en/project/EF16_025%2F0007293" target="_blank" >EF16_025/0007293: Modular platform for autonomous chassis of specialized electric vehicles for freight and equipment transportation</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2021

Confidentiality

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

Name of the periodical

Materials

ISSN

1996-1944

e-ISSN

—

Volume of the periodical

14

Issue of the periodical within the volume

15

Country of publishing house

CH - SWITZERLAND

Number of pages

15

Pages from-to

—

UT code for WoS article

000682101300001

EID of the result in the Scopus database

2-s2.0-85111702819