Surface Roughness Measurement on a Wing Aircraft by  Speckle Correlation

Salazar, F.; Barrientos, Alberto

doi:10.3390/s130911772

Cited by 22 publications

(14 citation statements)

References 7 publications

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“…In this way, in [27] the use of a speckle method is proposed for measuring roughness on an unmanned aircraft wing. A laser beam under a given angle is directed onto the surface to be examined.…”

Section: Applications Based On Sensorsmentioning

confidence: 99%

Sensors and Technologies in Spain: State-of-the-Art

Pajares

2014

Sensors

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Section: Applications Based On Sensorsmentioning

confidence: 99%

Sensors and Technologies in Spain: State-of-the-Art

Pajares

2014

Sensors

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“…In many areas it is important to have detailed knowledge of the structure of a surface. In various fields of application, surface roughness plays an especially important role: in medicine, surface roughness influences the compatibility of implants with the human body [1] and the bacterial plaque retention on dental materials [2]; in pharmaceutics, the chemical composition of tablets can be analyzed [3]; in the field of aerospace engineering, surface roughness has an impact on flight dynamics [4]; in the fabrication of machined workpieces, surface roughness effects their quality [5].…”

Section: Introductionmentioning

confidence: 99%

Non-Contact Roughness Measurement in Sub-Micron Range by Considering Depolarization Effects

Pöller

Bloise

Jakobi

et al. 2019

Sensors

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The characteristics of a surface, particularly the roughness, play an important role in different fields of the industry and have to be considered to ensure quality standards. Currently, there are numerous sophisticated methods for measuring surface roughness but plenty of them cause long-term damage because they are in contact with the sample. This article presents a non-contact method to accurately determine small surface roughnesses resulting from the consideration of the depolarization effects caused by the rough surface. This technique can be applied as an extension in various roughness measurements and improves the approach of Chandley’s technique, which does not take into account the depolarization of the light scattered by the sample. The experimental setup and the measurements are easy to perform. The essential component is a quarter wave plate, which is incorporated into a Michelson interferometer. With the resulting two different contrasts and the recorded intensities of the sample and the reference mirror, the surface roughness can be estimated straightforwardly. This article details the theoretical approach, followed by the experimental results and the corresponding uncertainties. The experimental results are compared with Chandley’s method. In order to have reference roughness values of the samples, measurements with a stylus profilometer and with a confocal microscope are performed and compared.

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“…Liu and Gao (2011) developed a digital speckle correlation method for coefficient of thermal expansion (CTE) measurement of a film surface, demonstrating an improved accuracy in comparison with actual thermal measurement. Salazar and Barrientos (2013) presented a speckle correlation method to measure the surface roughness on an actual aircraft wing with one charge-coupled device (CCD) camera. Murray et al (2015) used DIC to measure static displacements at varying load levels and dynamic displacements at varying vehicle speeds on a reinforced concrete bridge.…”

Section: Introductionmentioning

confidence: 99%

Full‐field deformation measurement by videogrammetry using self‐adaptive window matching

Gao

Tong

Chen

et al. 2019

The Photogrammetric Record

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Full‐field deformation measurement of specific materials is an important issue in civil engineering materials testing. This paper presents a flexible videogrammetric scheme to measure full‐field deformation of an artificial rock‐like material under uniaxial compression. In this scheme, two high‐speed cameras were used to measure the spatial morphological changes of the material surface, which was sprayed with a speckle pattern. A robust self‐adaptive window matching strategy is then proposed to extract accurate displacements of tracking points. Finally, three‐dimensional (3D) point clouds and full‐field deformation can be calculated by photogrammetric and spatiotemporal analysis. Simulation and empirical tests demonstrated that the self‐adaptive window matching strategy used with high‐speed videogrammetric speckle image sequences can detect more subtle deformation and avoid more mismatches than a fixed‐window matching strategy.

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Surface Roughness Measurement on a Wing Aircraft by Speckle Correlation

Cited by 22 publications

References 7 publications

Sensors and Technologies in Spain: State-of-the-Art

Sensors and Technologies in Spain: State-of-the-Art

Non-Contact Roughness Measurement in Sub-Micron Range by Considering Depolarization Effects

Full‐field deformation measurement by videogrammetry using self‐adaptive window matching

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