A digital demonstration of Computer Learning in Automated Manufacturing Processes

Computer Learning in Automated Manufacturing Processes (CLAMPS) demonstrates the integration of predictive machine learning to drive improvements and minimise variability within a composites manufacturing process.

Composite manufacturing is intrinsically a high variability process, requiring careful tuning of process parameters by highly skilled engineers to meet product quality requirements. This has an adverse effect on production rate, ramp up rate, and increases manufacturing costs.

A combination of traditional virtual manufacturing simulation and Artificial Intelligence (AI) technology is a potential solution to rapidly explore and mature novel composite manufacturing processes (e.g. resin infusion into dry fibre preform.

The key benefits of this technology are; insights into manufacturing process parameters leading to accelerated learning curves; automation of manufacturing inspection step leading to reduction in ‘cost of quality’; upfront prediction of product quality from the machine learning model provides pre-emptive power which in turn reduces the ‘cost of non-quality’.

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