Szymanik Barbara
Center for Electromagnetic Fields Engineering and High-Frequency Techniques, Faculty of Electrical Engineering, West Pomeranian University of Technology, Szczecin, Sikorskiego 37, 70-313 Szczecin, Poland.
Materials (Basel). 2022 May 23;15(10):3727. doi: 10.3390/ma15103727.
This article describes an approach to evaluating the structural properties of samples manufactured through 3D printing via active infrared thermography. The mentioned technique was used to test the PETG sample, using halogen lamps as an excitation source. First, a simplified, general numerical model of the phenomenon was prepared; then, the obtained data were used in a process of the deep neural network training. Finally, the network trained in this manner was used for the material evaluation on the basis of the original experimental data. The described methodology allows for the automated assessment of the structural state of 3D-printed materials. The usage of a generalized model is an innovative method that allows for greater product assessment flexibility.
本文介绍了一种通过主动红外热成像技术评估3D打印制造的样品结构特性的方法。上述技术用于测试PETG样品，使用卤素灯作为激发源。首先，建立了该现象的简化通用数值模型；然后，将获得的数据用于深度神经网络训练过程。最后，以这种方式训练的网络基于原始实验数据用于材料评估。所描述的方法允许对3D打印材料的结构状态进行自动评估。使用广义模型是一种创新方法，可提供更大的产品评估灵活性。
