3D Printing Industry | 1/23/2019 | Tia Vialva
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AMFG, a 3D printing software company based in the UK, has announced it has secured £350 thousand in funding from Innovate UK to further the development of its AI and machine learning technology for additive manufacturing. As part of the project, AMFG will be working with key partners, including the University of Nottingham’s Centre for Additive Manufacturing (CfAM).

Speaking to a representative of AMFG, 3D Printing Industry learns more about this fund, and the company’s AI monitoring process.

AMFG - Manufacturing - Machine - Technology - Funding

AMFG aims to make additive manufacturing more efficient by implementing machine learning technology. The funding provided by Innovate UK will therefore be used to build AMFG’s comprehensive workflow management/manufacturing execution system (MES) software, which was launched in 2018.

Detailing the process, the company representative tells us, “Firstly, with the AMFG platform, all planning steps will move from paper-based or different software solutions into one tool that covers the full production process digitally. Therefore, the planning status and changes are automatically tracked,”

Platform - Printers - Software - PLM - ERP

“Furthermore,” they add, “the platform can connect to most industrial printers, any software, PLM or ERP solution and, if the sensors, scanner or cameras are IoT ready, they too can be connected.”

AMFG Workflow automation software for additive manufacturing. Image via AMFG.

Quality - Concerns - Lack - Efficiency - Barriers

Quality concerns and lack of efficiency are barriers that AMFG believes are preventing additive manufacturing from being scaled for production. This project’s focus, then, is on improving quality assurance and optimizing scheduling for the fabrication of end-use parts. In particular, AMFG will develop methods to improve the analysis of parts during the quality assurance stage, including the use of wide-ranging data sets. It will also work to allow users to predict failures before they occur, by further developing its machine learning technology.

“Currently, additive manufacturing still needs to prove that end-part production is viable at scale,” said AMFG’s CEO, Keyvan Karimi in the funding press...
(Excerpt) Read more at: 3D Printing Industry
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