Estimation of laser weld parameters using surrogate modelling technique

Result code in 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>

Result on the web

<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>

Result language

angličtina

Original language name

Estimation of laser weld parameters using surrogate modelling technique

Original language description

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.

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

20201 - Electrical and electronic engineering

Project

<a href="/en/project/LO1607" target="_blank" >LO1607: RICE - New technologies and concepts for smart industrial system</a><br>

Continuities

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

Publication year

2018

Confidentiality

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

Name of the periodical

Journal of Electrical Engineering = Elektrotechnický časopis

ISSN

1335-3632

e-ISSN

—

Volume of the periodical

69

Issue of the periodical within the volume

2

Country of publishing house

SK - SLOVAKIA

Number of pages

7

Pages from-to

170-176

UT code for WoS article

000440648400009

EID of the result in the Scopus database

2-s2.0-85048613311