Regular Article

A reduced order model to assist welding parameter setup

Nantes Université, IRT Jules Verne, 44000 Nantes, France

^* e-mail: yves.le-guennec@irt-jules-verne.fr

Received: 14 February 2023
Accepted: 14 December 2023

Abstract

This article demonstrates the time saving in industrial process setup using numerical reduced order modelling (ROM). The numerical simulations may supply useful information to design manufacturing processes but are often time consuming and then not suited with multi-query study such as inverse problem. ROM aims at replacing the original simulation (so-called high-fidelity (HF)) by a low rank model that will run fast according to the HF simulation time. Multi-query studies will use the ROM instead of the HF simulation to save time and deliver a solution consistent with industrial timeline. To validate the solution, the HF simulation will be used. In this paper, a problem of calibration of TIG welding parameter will illustrate this approach.