Feature

Laser profile scanners look into the future of composite manufacturing

A research project undertaken by the Bristol Composites Institute (BCI) at the University of Bristol used laser profile sensors from Micro-Epsilon to detect defects formed during the composite manufacturing process.

31/01/2024 16:20:42

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By linking live laser sensor data with a convolutional neural network (CNN), the team at BCI can conduct real-time automated inspection
of manufactured parts. This novel inspection technique provides great potential to improve efficiency and reduce waste in composite manufacturing.

The team at
BCI achieved this goal by embedding Micro-Epsilon’s sensors into a lab-scale automated fibre placement (AFP) system, which is a composite manufacturing
method commonly used in the aerospace industry. The AFP method uses robotic arms to deposit layers of carbon fibre-reinforced composites (CFRP) onto
bespoke moulds. This process can create complex shapes at high speed.

However, manufacturing-induced defects are inevitable during AFP.

Read the full article in DPA's February issue

Written By Sophia Bell

Sophia Bell is the Group Editor of DPA, Connectivity, and PBSI. She joined the team in 2020 as Assistant Editor after achieving a First-Class Honours BA in English Literature and Film Studies from the University of East Anglia. In her current role, she leads the editorial strategy, driving digital growth and ensuring each title continues to deliver trusted, relevant insight for engineering and manufacturing professionals.