The dataset for an article - An Evaluation of 3D-Printed Materials' Structural Properties Using Active Infrared Thermography and Deep Neural Networks Trained on the Numerical Data

Dataset used in the research presented in the article: Szymanik, Barbara. 2022. "An Evaluation of 3D-Printed Materials’ Structural Properties Using Active Infrared Thermography and Deep Neural Networks Trained on the Numerical Data" <em>Materials</em> 15, no. 10: 3727. https://doi.org/10.3390/ma15103727 The database in the .mat (matlab) format contains arrays of double type related to: A - original thermograms obtained for the plate made with the 3D printing technique Ar - thermograms with ROI included FITorg - approximation of original thermograms ImDiff, ImInt, ImProp - data obtained after subtracting the approximation.本数据集用于Barbara Szymanik于2022年发表在期刊《Materials》的研究论文《使用主动红外热成像技术与基于数值数据训练的深度神经网络评估3D打印材料的结构特性》（英文原文标题：An Evaluation of 3D-Printed Materials’ Structural Properties Using Active Infrared Thermography and Deep Neural Networks Trained on the Numerical Data），该论文刊载于《Materials》2022年第15卷第10期，页码3727，DOI链接为https://doi.org/10.3390/ma15103727。该数据库以.mat（MATLAB）格式存储，包含若干双精度（double）类型数组，各数组对应内容如下：A：采用3D打印工艺制备的板材所获取的原始热成像图；Ar：包含感兴趣区域（Region of Interest，ROI）的热成像图；FITorg：原始热成像图的近似拟合结果；ImDiff、ImInt、ImProp：经近似拟合结果差值运算后得到的相关数据。