Lead Institution:  University of Cambridge
Industry Partners: Rolls-Royce and Sintratec AG
Project Team: Phillip Stanley-Marbell (Cambridge), Robert Hewson, (Imperial College London), Daniela Petrelli (Sheffield Hallam University) and Nick Dulake (Sheffield Hallam University)
Project Duration: 8 months (April 2018 – March 2019)

End of Project report_In situ analysis within 3D printed structures

Case Study_ In Situ analysis within 3D printed structures

The project is the first to investigate per-layer composition analysis integrated within the SLS build chamber in order to generate per-layer data for each produced part characterising millimetre-scale chemical composition variations. This per-part data can be thought of as a “volumetric chemical composition birth certificate” for each produced part.


Stanley-Marbell, P., & Rinard, M. Warp: A Hardware Platform for Efficient Multi- Modal Sensing with Adaptive Approximation. IEEE Micro https://doi.org/10.17863/CAM.35368