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)
Chalmers, Computer Science and Engineering (Chalmers), Computer and Network Systems
Zhuoer Chen
Chalmers, Industrial and Materials Science, Materials and manufacture
Vincenzo Massimiliano Gulisano
Chalmers, Computer Science and Engineering (Chalmers), Computer and Network Systems
Eduard Hryha
Chalmers, Industrial and Materials Science, Materials and manufacture
Lars Nyborg
Chalmers, Industrial and Materials Science, Materials and manufacture
Erik Sievers
Chalmers, Computer Science and Engineering (Chalmers), Computer and Network Systems
Philippas Tsigas
Chalmers, Computer Science and Engineering (Chalmers), Computer and Network 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