Estimation of laser weld parameters using surrogate modelling technique

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F18%3A43951702" target="_blank" >RIV/49777513:23220/18:43951702 - isvavai.cz</a>

Výsledek na webu

<a href="http://iris.elf.stuba.sk/cgi-bin/jeeec?act=pr&no=2_118" target="_blank" >http://iris.elf.stuba.sk/cgi-bin/jeeec?act=pr&no=2_118</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.2478/jee-2018-0021" target="_blank" >10.2478/jee-2018-0021</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Estimation of laser weld parameters using surrogate modelling technique

Popis výsledku v původním jazyce

A surrogate technique based on Gaussian Process (GP) is used for predicting quality of laser in case of laser welding process that may be supported by induction preheating. FEM-based solution of the problem is computationally expensive because it combines computation of 3D coupled nonlinear electromagnetic and temperature fields. The quality of laser welds is quantified with weld depth, which depends on a number of input parameters. The paper deals with two of them — thickness of the welded steel sheet and power of the laser beam. First, selected FEM simulations allow finding data describing the dependency between the two input parameters and weld depth. These data allow creating a surrogate model that is able to predict weld depth at any point close to the points where the results are known. The principal goal is to essentially save the computational time. The surrogate model also allows estimating prediction plausibility and running the full FEM calculation in cases where the prediction is not sufficiently accurate. The methodology is illustrated with a typical example whose results are discussed.

Název v anglickém jazyce

Estimation of laser weld parameters using surrogate modelling technique

Popis výsledku anglicky

A surrogate technique based on Gaussian Process (GP) is used for predicting quality of laser in case of laser welding process that may be supported by induction preheating. FEM-based solution of the problem is computationally expensive because it combines computation of 3D coupled nonlinear electromagnetic and temperature fields. The quality of laser welds is quantified with weld depth, which depends on a number of input parameters. The paper deals with two of them — thickness of the welded steel sheet and power of the laser beam. First, selected FEM simulations allow finding data describing the dependency between the two input parameters and weld depth. These data allow creating a surrogate model that is able to predict weld depth at any point close to the points where the results are known. The principal goal is to essentially save the computational time. The surrogate model also allows estimating prediction plausibility and running the full FEM calculation in cases where the prediction is not sufficiently accurate. The methodology is illustrated with a typical example whose results are discussed.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

<a href="/cs/project/LO1607" target="_blank" >LO1607: RICE – Nové technologie a koncepce pro inteligentní průmyslové systémy</a><br>

Návaznosti

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

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název periodika

Journal of Electrical Engineering = Elektrotechnický časopis

ISSN

1335-3632

e-ISSN

—

Svazek periodika

69

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

SK - Slovenská republika

Počet stran výsledku

7

Strana od-do

170-176

Kód UT WoS článku

000440648400009

EID výsledku v databázi Scopus

2-s2.0-85048613311