UK project to utilise AI for improvements in additive manufacturing

The Materials Processing Institute is leading an Innovate UK funded collaboration to develop an artificial intelligence tool that creates greater efficiencies in the additive manufacturing (AM) sector.

Powder assessment using morphological analysis being carried out at the Institute
Powder assessment using morphological analysis being carried out at the Institute - Materials Processing Institute

Working in partnership with Ormskirk-based Additive Manufacturing Solutions Ltd and AMFG, a software company providing MES and workflow automation for manufacturing, the £600,000 SMART-APP project will enable high-level production of AM components, using Laser Powder Bed Fusion, through the introduction of smart predictive models for resource efficiency and waste reduction.

SMART-APP aims to predict the quality change of the powder after each process and propose alternative process parameters on used powder to extend its lifespan with a minimal or an in-specification impact on product quality.

According to MPI, one area of particular interest is the growth of metal AM, which is not yet cost-effective due to a development gap in the level of powder waste and length of processing time.

In a statement, Nick Parry, Industrial Digitalisation group manager at MPI, said: “SMART-APP is the next logical step to continue the work the Institute has already undertaken in powder characterisation. This predictive tool will develop and enable world-class production of AM components, with smart solutions for resource efficiency and providing longer use of materials feedstock and reducing wastage.”

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