Artificial Neural Network Modelling of Glass Laminate Sample Shape Influence on the ESPI Modes

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27360%2F11%3A86081638" target="_blank" >RIV/61989100:27360/11:86081638 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Artificial Neural Network Modelling of Glass Laminate Sample Shape Influence on the ESPI Modes

Original language description

The present work is devoted to the applications of artificial neural networks (ANN) for material design prediction. We have investigated the dependence of the generated mode frequency as a function of a sample thickness and a sample shape of glass laminate samples by electronic speckle interferometry (ESPI). The obtained experimental results for differently shaped (thickness, canting and rounding) glass laminate samples are compared with those of ANN. The coincidence of both experimental and simulated results is very good.

Czech name

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Czech description

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Type

A - Audiovisual production

CEP classification

JG - Metallurgy, metal materials

OECD FORD branch

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Project

<a href="/en/project/FR-TI1%2F319" target="_blank" >FR-TI1/319: *Development of New Progressive Tools and Systems of Dependability Control Support of Primary Cooling on Slab Device of Continuous Casting for Quality Improvement of Demanding Flat Products</a><br>

Continuities

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

Publication year

2011

Confidentiality

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

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