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.

悬浮液用于陶瓷立体光刻法¹（CerSLA）和其他材料加工方法中。我们以新颖的方式将快速傅里叶变换²（FFT）应用到陶瓷加工方法产生的信号中，以解决沉积引起的缺陷。我们将分析结果与传统的沉降测量方法进行了比较，以表明这种新颖的沉降定量方法能够区分出更精细的沉降模式。本文提供的FFT和信号处理的说明和应用使读者可以更广泛地使用FFT和信号处理来进一步优化和量化材料处理方法。