[LAB??] A multi-disciplinary manufacturing ecosystem

IN-PROCESS AFP QUALITY ASSURANCE?

Although automated fibre placement (AFP) significantly improves production rates and quality, due to the lack of reliable in-process inspection techniques AFP processes are currently interrupted intermittently for manual inspections, which diminishes the benefits of automation. In addition, manual inspection processes have deficiencies, dependencies and inconsistencies such as operator, training and environment.??

To take full advantage of automation, National Institute for Aviation Research has developed an in-process AFP Manufacturing Inspection System (IAMIS) that attaches to the AFP head to detect manufacturing defects. IAMIS can detect defects that are above the certification basis or unacceptable using machine-learning algorithms for reducing time-consuming and operator-dependent manual inspection processes that require significant interruption of the manufacturing process. The system also uses artificial intelligence (AI) to analyse vast amounts of digital processing data and geometry at each defect location. This data helps identify manufacturing anomalies for optimising parameters (e.g. lay-down speed, heat input, compaction force, steering radii, etc.), reducing manufacturing defects on subsequent parts.??

The accompanying augmented reality visualisation module can be used when the AFP operation is halted for repairs to provide the location and description of each defect, allowing quality inspectors and repair technicians to locate them quickly and accurately. The module also offers the inspection/quality specialist the ability to review remotely, which significantly reduces downtime caused by repair/analysis review.??

Learn more about ATLAS’s objectives, research, equipment and facilities in in the latest issue of JEC Composites Magazine:??

https://www.nxtbook.fr/newpress/jeccomposites/jcm2211_148/index.php??