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Development of the Multi-Material Inspection for Closed-Loop Rapid Optimization (MICRO) Sensor for Extrusion-Based Additive Manufacturing of Metal-Polymer Composite Inks

机译:用于闭环快速优化(微)传感器的多材料检测的开发,用于金属聚合物复合油墨的挤出加油制造

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摘要

Additive Manufacturing (AM), or 3D printing, is a powerful technology that is revolutionizing the way designers create products across many industries. AM technology is severely limited by the lack of effective methods for in situ characterization of multi-material properties and composition during printing. The ability to detect the composition of multi-material printed inks in real time is an emerging need for a wide range of manufacturing applications. In this study, dielectric properties of embedded metal microparticles in a dielectric matrix are measured and characterized as a function of particle size, shape, volume percentage and frequency. Unexpectedly, there was no observation of any percolation threshold. The impedance was found to decrease with the percentage of metal filler as expected. While particle shape seemed to have significant effect on the impedance, there was little to no correlation between particle size and impedance. The resulting data can be used to generate a calibration curve correlating metal loading with impedance or capacitance. We discuss how this data can be used for in situ sensing of local ink composition, which does not currently exist, to facilitate greater control over the resulting properties and functionality of printed materials.
机译:添加剂制造(AM)或3D打印是一种强大的技术,正在彻底改变设计师在许多行业中创建产品的方式。 AM技术受到在印刷过程中原位特征的有效方法的严重限制。能够实时检测多材料印刷墨水的组成是各种制造应用的新兴需求。在该研究中,测量介电基质中的嵌入金属微粒的介电性质,并表征为粒度,形状,体积百分比和频率的函数。出乎意料地,没有观察到任何渗透阈值。发现阻抗与预期的金属填料的百分比降低。虽然粒子形状似乎对阻抗产生显着影响,但粒度与阻抗几乎没有相关性。得到的数据可用于产生具有阻抗或电容的金属负载的校准曲线。我们讨论该数据如何用于原位感测本地油墨组合物,该墨水组合物不存在,以促进对印刷材料的所得性能和功能的更大控制。

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