About the Course
Part 2 of the AM Data Management covers data generation and data acquisition concepts in an industrial AM environment. Use and management of data are critical in moving from a traditional workshop to an autonomous workshop where production quality needs to be assured. This webinar will give an insight into how AM Data Management has been implemented in a company like Siemens to transform an AM workshop into an intelligent AM workshop. The discussion will focus on the lessons learned, route selections, pitfalls, a dive into some of the technology that has been evaluating, and a demo of the technology implemented.
The webinar will specifically focus on the AI/Machine Learning approach in L-PBF process;
- Powder Bed deviation recognition
- Optical Tomography
- Melt Pool Monitoring
- Process parameter dependencies and analysis
- Best practice of digitalizing an AM workshop environment
- Technology research, evaluation and development of different analyzing methods
- Route selection for industrial implementation of qualifying tools
Jörgen Sjöholm worked with complex IT- and digitalization projects for more than 20 years. He has been working with digitalization of AM workshops at Siemens Energy for the last two years and has a background in system development and architecture. M.Sc. in Systems Science.
Tommy Andersson worked with complex IT- and digitalization projects and industrial implementations for more than 20 years. He has been working with digitalization of AM workshops at Siemens Energy for the last four years and has a background in system development and architecture. B.Sc. Electronics Engineer & System development.