17-19 September 2024
Erholungsgesellschaft Aachen
Europe/Vienna timezone

Process development supported by machine learning for demanding materials and applications - insights from development and customerbenefits

18 Sep 2024, 08:30
30m
Room 1 (Erholungsgesellschaft Aachen)

Room 1

Erholungsgesellschaft Aachen

Plenary Talk Process- and Quality Control & Sustainability Plenary Talk

Speaker

Dr Liang Wu (voestalpine Additive Manufacturing Center GmbH)

Description

This study investigates the utilization of machine learning for optimizing additive manufacturing processes, focusing on Laser PowderBed Fusion (L-PBF) and Laser Metal Deposition (LMD). By leveraging domain expertise, machine learning demonstrates significant potential in enhancing efficiency and quality. Through specific case studies, we highlight the benefits and limitations of employingmachine learning in additive manufacturing, emphasizing the importance of informed user engagement for realizing tangible customer advantages.

Speaker Country Germany

Primary authors

Dr Armin Wiedenegger (voestalpine Additive Manufacturing Center) Dr Liang Wu (voestalpine Additive Manufacturing Center GmbH)

Presentation Materials

There are no materials yet.