Advanced Numerical Simulations for Conventional and Non-Conventional Welding Processes : A Model Order Reduction Approach

Abstract : Numerical simulations represent a fundamental tool for the design and optimization of industrial manufacturing processes such as welding. Despite the impressive development of the numerical methods and the means of calculation, the complexity of these processes and the new demands of the more advanced industries make it necessary to rethink the available methods, strategies and simulation algorithms. In this thesis, we propose new numerical methods with a Model Order Reduction approach, a consolidated discipline that has provided surprising solutions indifferent applications, such as advanced manufacturing processes. First, different strategies for the efficient simulation of conventional welding processes are proposed. To this end, the use of Computational Vademecums is introduced for the improvement of methods such as the Generalized Finite Element for thermal calculation, the local-global approach for the mechanical calculation or the direct construction of vademecums useful for predesign phases. Then, an efficient PGD solver for thermomechanical simulations for friction stir welding is presented. This thesis shows how Model Reduction, besides being an end, it can be an excellent ingredient to improve the efficiency of traditional numerical methods, with great interest for the industry.
Complete list of metadatas

Cited literature [97 references]  Display  Hide  Download

https://tel.archives-ouvertes.fr/tel-02145905
Contributor : Abes Star <>
Submitted on : Monday, June 3, 2019 - 2:06:12 PM
Last modification on : Tuesday, July 16, 2019 - 8:57:05 AM

File

D_CANALES_AGUILERA.pdf
Version validated by the jury (STAR)

Identifiers

  • HAL Id : tel-02145905, version 1

Collections

Citation

Diego Canales Aguilera. Advanced Numerical Simulations for Conventional and Non-Conventional Welding Processes : A Model Order Reduction Approach. Mechanics of materials [physics.class-ph]. École centrale de Nantes; Universidad de Zaragoza (Espagne), 2017. English. ⟨NNT : 2017ECDN0012⟩. ⟨tel-02145905⟩

Share

Metrics

Record views

128

Files downloads

31