ASTM International’s Additive Manufacturing Center of Excellence (AM CoE) and America Makes have published a guide to improving additive manufacturing (AM) data.
According to the organisations, the aim of the guide is to identify gaps, challenges, solutions and action plans for the data.
‘Recent developments in digital data acquisition, analysis, machine learning and artificial intelligence, and modeling could quickly accelerate the AM development timeline,’ a press release said. ‘However, this growth has yet to be observed.’
‘A key and large gap in the development of an AM data ecosystem is how to easily and securely generate, store, analyze, and share critical and vital data,’ said Mohsen Seifi, ASTM International’s director of global AM programs. ‘A sub-gap is the consistency of the data that is gathered across multiple groups.’
‘The guide highlights the importance of data management and data principles which will benefit the broader AM supply chain, and will serve as a resource to strengthen collaboration and ease the challenges common to AM data sharing,’ added Brandon Ribic, technology director of America Makes.
The two organizations have also formed a subcommittee on data within ASTM International’s additive manufacturing technologies committee, with the aim of identifying what is required to obtain better understanding of data.
This story uses material from ASTM, with editorial changes made by Materials Today. The views expressed in this article do not necessarily represent those of Elsevier.
