Abstract
Automated Fiber Placement (AFP) is an advanced composites manufacturing technique utilized for industrial scale structures. During this process, data is collected from a multitude of modalities spanning numerical analysis of processing parameters to inspection techniques. With data collection existing both in-situ and ex-situ. To ensure interoperability of multimodality data, a mapping is necessary to understand the relationship between these various conditions, and the positioning on the tool surface. This paper defines a mapping technique which enables the evaluation of spatial data from many different sources within the AFP process. Through these mapping techniques, a global array of data is generated that includes all aspects of AFP manufacturing. The developed methodologies are applied to the manufacturing of a doubly curved part. Results showcase the ability to map multimodality data into a uniform format. With the uniform format of the data, further steps can be made to the improvement of fiber paths and processing parameters.
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