Scalability and quality control in AM - Big Data and ML in Production
Research Project, 2020 –

The project is about developing new research threads in the direction of Big Data and ML analysis support in production. Examples are data processing methods such as continuous/streaming data analysis for fine-grained configurable monitoring to support production pipelines and quality assurance in e.g. Additive Manufacturing.

Participants

Marina Papatriantafilou (contact)

Network and Systems

Vincenzo Massimiliano Gulisano

Network and Systems

Eduard Hryha

Chalmers, Industrial and Materials Science, Materials and manufacture

Lars Nyborg

Chalmers, Industrial and Materials Science, Materials and manufacture

Erik Sievers

Network and Systems

Philippas Tsigas

Network and Systems

Claudia de Andrade Schwerz

Chalmers, Industrial and Materials Science, Materials and manufacture

Funding

Chalmers

Funding Chalmers participation during 2020–

Related Areas of Advance and Infrastructure

Information and Communication Technology

Areas of Advance

Sustainable development

Driving Forces

Production

Areas of Advance

More information

Latest update

5/13/2024