Additive manufactured polymers and metallized microstructures are widely used in the production of electronic components. However, such three-dimensional printed metallized electrical components inevitably have processing errors that affect their performance. It is vital to understand defects' effects on the performance of the final product. In this study, we simulated micro-computed tomography (CT) data. A spiral cavity is printed by stereolithography and spiral inductors with different numbers of turns are fabricated by injecting Gallium Indium liquid metal (EGaIn). Through the theoretical simulation of the spiral inductor and the characterization of the electrical performance, we found that the relative error in the simulation of 2.5-turn, 4.5-turn, and 6.5-turn spiral inductors is +30.6%, +13%, and +6%, respectively, compared with the experimental data. The CT data are obtained by a CT scanning microcoil and a reconstruction model with real structural features is established based on the data. The results show that the relative error between the reconstructed model with real defects and the experimental data is +10.4%, −3.7%, and −1.5%, respectively, which is closer to the experimental data. According to the CT data simulation that provides a more accurate theoretical prediction, the actual effect of a defect on the final product can be assessed. The difference between the experimental results and the theoretical simulation can be inferred from the reconstruction model.

中文翻译：

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微型计算机断层扫描评估螺旋微线圈增材制造的加工质量

增材制造的聚合物和金属化微结构广泛用于电子元件的生产。然而，这种三维印刷金属化电子元件不可避免地存在影响其性能的加工误差。了解缺陷对最终产品性能的影响至关重要。在这项研究中，我们模拟了微型计算机断层扫描 (CT) 数据。通过立体光刻法印刷螺旋腔，并通过注入镓铟液态金属（EGaIn）制造具有不同匝数的螺旋电感器。通过对螺旋电感的理论仿真和电性能表征，我们发现2.5圈、4.5圈和6.5圈螺旋电感在仿真中的相对误差分别为+30.6%、+13%和+6%，分别，与实验数据相比较。通过CT扫描微线圈获取CT数据，并基于数据建立具有真实结构特征的重建模型。结果表明，具有真实缺陷的重构模型与实验数据的相对误差分别为+10.4%、-3.7%和-1.5%，与实验数据较为接近。根据提供更准确理论预测的CT数据模拟，可以评估缺陷对最终产品的实际影响。实验结果与理论模拟之间的差异可以从重建模型中推断出来。结果表明，具有真实缺陷的重构模型与实验数据的相对误差分别为+10.4%、-3.7%和-1.5%，与实验数据较为接近。根据提供更准确理论预测的CT数据模拟，可以评估缺陷对最终产品的实际影响。实验结果与理论模拟之间的差异可以从重建模型中推断出来。结果表明，具有真实缺陷的重构模型与实验数据的相对误差分别为+10.4%、-3.7%和-1.5%，与实验数据较为接近。根据提供更准确理论预测的CT数据模拟，可以评估缺陷对最终产品的实际影响。实验结果与理论模拟之间的差异可以从重建模型中推断出来。