Vincent Martin

ORCID: 0000-0002-7915-3944
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About
Contact & Profiles
Research Areas
  • Additive Manufacturing and 3D Printing Technologies
  • Topology Optimization in Engineering
  • Manufacturing Process and Optimization
  • 3D Printing in Biomedical Research
  • Augmented Reality Applications
  • Metallic Glasses and Amorphous Alloys
  • Advanced Multi-Objective Optimization Algorithms
  • Additive Manufacturing Materials and Processes
  • Design Education and Practice
  • Injection Molding Process and Properties
  • Aluminum Alloys Composites Properties

École Centrale de Lille
2022-2023

École nationale supérieure d'arts et métiers
2022-2023

Université de Lille
2021-2023

Centre National de la Recherche Scientifique
2022

Laboratoire de Mécanique, Multiphysique, Multiéchelle
2022

Laboratoire d'Électrotechnique et d'Électronique de Puissance de Lille
2021

This article presents a bridge between topology optimization (TO) and additive manufacturing. On the one hand, it an algorithm that considers design variables as binary then solves problem by linear programming to optimize ferromagnetic core. other 3-D printing process is developed manufacture shapes obtained TO. Finally, these magnetic parts are characterized through electrical measurements.

10.1109/tmag.2023.3254599 article EN IEEE Transactions on Magnetics 2023-03-09

Additive manufacturing technologies are known for fast prototyping and enabling a wide variety of shapes beneficial to the design components. If materials used 3D printers were first mainly polymers, nowadays they beginning become more complex in order allow metal ceramic printing using composite feedstock. In this work, we aim at additively magnetic component. The building process is presented by filament feedstock Fused Deposition Modeling part produced cores have been magnetically...

10.1109/intermag42984.2021.9579804 preprint EN 2021-04-01

This communication presents a bridge between topology optimization and additive manufacturing. On the one hand, it an algorithm that considers design variables as binary then solves problem by linear programming to optimize ferromagnetic core. other 3D printing process is developed manufacture shapes obtained optimization, which are submitted electrical measurements.

10.1109/cefc55061.2022.9940819 article EN 2022 IEEE 20th Biennial Conference on Electromagnetic Field Computation (CEFC) 2022-10-24
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