Digitalisation of the AM-production flow for efficiency

Important results from the project

The purpose of the project was to increase the efficiency of the AM-process and in the long run to be able to regard the individual steps in the AM-process as a single process. The efficiency of the AM-process was increased within the project through several activities. These include the development of simulation software, both for powderbed as well as for direct energy deposition methods. Other project activities such as visualisation of process data have a more long term effect on the efficiency.

Expected long term effects

Much of the results from the project may be used directly to increase the efficiency of the AM process. This includes for example simulation and process planning tools or methods for process visualisation. Other project results will affect the efficiency more in long run. Here, mapping of the possibilities with machine learning / artificial intelligence or systems for increased traceability is worth mentioning.

Approach and implementation

The project a goal that could be interpreted in many ways. This resulted in many approaches at the same time, which was also reflected in the different background of the project participants. College students were involved in many ways to the benefit of the project. As to machine learning (ML) and artificial intelligence (AI) there is currently not enough data available to train an AI. Instead the project studied how these techniques could be used in the future when sufficient data is available.