Detailed Information on Publication Record
2021
Prediction Model of the Resulting Dimensions of Welded Stamped Parts
KADNÁR, Milan, Peter KÁČER, Marta HARNIČÁROVÁ, Jan VALÍČEK, Mirek GOMBÁR et. al.Basic information
Original name
Prediction Model of the Resulting Dimensions of Welded Stamped Parts
Authors
KADNÁR, Milan (guarantor), Peter KÁČER, Marta HARNIČÁROVÁ (203 Czech Republic, belonging to the institution), Jan VALÍČEK (203 Czech Republic, belonging to the institution), Mirek GOMBÁR, Milena KUŠNEROVÁ (203 Czech Republic, belonging to the institution), František TÓTH, Marian BORŽAN and Juraj RUSNÁK
Edition
Materials, Basel, Switzerland, MDPI, 2021, 1996-1944
Other information
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
20501 Materials engineering
Country of publisher
Switzerland
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
RIV identification code
RIV/75081431:_____/21:00002096
Organization unit
Institute of Technology and Business in České Budějovice
UT WoS
000660941500001
Keywords in English
welding; distortion; stamping; model; prediction
Změněno: 25/6/2021 08:27, Mgr. Nikola Petříková
Abstract
V originále
"The combination of stamping and subsequent welding of components is an important area of the automotive industry. Stamping inaccuracies affect the final size of the stamping and the welded part. In this article, we deal with a specific component that is produced by such a procedure and is also a common part of the geometry of a car. We focused on the possibility of using a negative phenomenon—deformation during welding—on the partial elimination of inaccuracies arising during stamping. Based on the planned experiment, we created a prediction model for the selected part and its production, with the help of which it is possible to determine suitable welding parameters for a specific dimension of the stamping and the required monitored dimension of the welded part. The article also includes the results of additional experimental measurements verifying the accuracy of the model and prediction maps for practice."