Quinn Mark Kenneth, Spinosa Emanuele, Roberts David A
School of Mechanical, Aerospace and Civil Engineering, University of Manchester, Manchester M13 9PL, UK.
Aircraft Research Association, Manton Lane, Bedford MK41 7PF, UK.
Sensors (Basel). 2017 Jul 25;17(8):1708. doi: 10.3390/s17081708.
Measurements of pressure-sensitive paint (PSP) have been performed using new or non-scientific imaging technology based on machine vision tools. Machine vision camera systems are typically used for automated inspection or process monitoring. Such devices offer the benefits of lower cost and reduced size compared with typically scientific-grade cameras; however, their optical qualities and suitability have yet to be determined. This research intends to show relevant imaging characteristics and also show the applicability of such imaging technology for PSP. Details of camera performance are benchmarked and compared to standard scientific imaging equipment and subsequent PSP tests are conducted using a static calibration chamber. The findings demonstrate that machine vision technology can be used for PSP measurements, opening up the possibility of performing measurements on-board small-scale model such as those used for wind tunnel testing or measurements in confined spaces with limited optical access.
已使用基于机器视觉工具的新型或非科学成像技术对压敏漆（PSP）进行了测量。机器视觉相机系统通常用于自动检测或过程监控。与典型的科学级相机相比，此类设备具有成本更低、尺寸更小的优点；然而，它们的光学质量和适用性尚未确定。本研究旨在展示相关成像特性，并展示此类成像技术在PSP方面的适用性。对相机性能细节进行了基准测试，并与标准科学成像设备进行了比较，随后使用静态校准室进行了PSP测试。研究结果表明，机器视觉技术可用于PSP测量，为在小型模型（如用于风洞测试的模型）上进行测量或在光学通道有限的密闭空间内进行测量开辟了可能性。
