In-line inspection of advanced components, remains a challenging task in industry. A methodology is discussed which uses numerical simulations to automatically determine the best set of experimental parameters to inspect the structure on defects using active thermography. The inspection is performed using an industrial conveyor belt or a robotic arm optimized using a numerical model of the defected test sample. During the path planning, the directional emissivity is considered for the complex surface and an optimal experimental setup is found. The results show that in-line quality evaluation of complex shaped structures is improved with a minimal amount of inspection time.

在线检查高级组件，仍然是行业中的一项艰巨任务。讨论了一种方法，该方法使用数值模拟自动确定最佳的实验参数集，以使用主动热成像技术检查缺陷结构。使用工业传送带或机械手执行检查，该机械手使用缺陷试样的数值模型进行优化。在路径规划过程中，考虑了复杂表面的方向发射率，并找到了最佳的实验装置。结果表明，复杂的结构的在线质量评估以最少的检查时间得以改进。