Quantifying particle segregation in sequential layers fabricated by additive manufacturing

Suspensions are used in Ceramic Stereolithography1 (CerSLA) and other material processing methods. We applied Fast Fourier Transforms2 (FFTs) in a novel way to signals generated from ceramic processing methods to address flaws resulting from sedimentation. We compared our analysis with traditional measures of sedimentation to show that this novel quantification of sedimentation is able to distinguish finer, subtler patterns of sedimentation. The explanation and application of FFTs and signal processing provided in this article enables the reader to use FFTs and signal processing in a broader way to further optimise and quantify materials processing methods.