陶瓷
同质性(统计学)
材料科学
泥浆
压实
烧结
复合数
选择性激光烧结
机械工程
计算机科学
工艺工程
复合材料
工程类
机器学习
作者
Margaret Nowicki,Sara Sheward,Lane Zuchowski,Seth Addeo,Owen States,Oreofeoluwa Omolade,Steven Andreen,Nicholas Ku,Lionel Vargas‐Gonzalez,Jennifer Bennett
标识
DOI:10.1115/imece2022-96033
摘要
Abstract Additive manufacturing (AM) is a growing field in which products are created through the addition of materials in a layer-by-layer fashion. Ceramics are typically manufactured using powder compaction and sintering. Ceramic AM is typically executed using Selective Lase Sintering (SLS) techniques to fuse powders using a laser. As with many AM techniques this process allows for the inclusion of unique and complex geometries but does not easily allow for gradient or composite material features. Conclusions from previous investigations indicate chaotic mixing, achieved through integrating a disrupted nubbed section on a traditional screw auger, was more effective for achieving composite homogeneity. However, channel depth results conflicted upon integration of nubbed sections: the existing simulation does not accurately match this inconsistency in the test data. Current work strives to close the gap between test data and simulation, and specifically match this inconsistency between the effect of channel depth and nubbed sections independently, and when combined. The goal is to seamlessly transition between mixtures while minimizing or eliminating waste. To achieve this, it will be necessary to not only understand how print head volume and geometries impact transport, but also determine the impact of gcode on improving transition speed while minimizing material waste.
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