DS
D.J.P. Schroyen
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2 records found
1
Master thesis
(2018)
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Dries Schroyen, Roger Groves, Andrei Anisimov, W. Van Paepegem, D. Garoz Gómez
Digital Image Correlation is a powerful tool with which full-field strains can be extracted from a series of digital images. If applied on the micro-scale of composites, the fiber-matrix interaction can be studied. To do so, different challenges have to be overcome. First, composite specimens have to be prepared for microscopy. Then, a speckle pattern for the DIC algorithm has to be applied, for which different methods are examined and optimized. Next, digital microscopic imaging systems are compared and characterized. Finally, a relation between parameters of the DIC algorithm (such as subset shape and size) and the accuracy is determined.
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Digital Image Correlation is a powerful tool with which full-field strains can be extracted from a series of digital images. If applied on the micro-scale of composites, the fiber-matrix interaction can be studied. To do so, different challenges have to be overcome. First, composite specimens have to be prepared for microscopy. Then, a speckle pattern for the DIC algorithm has to be applied, for which different methods are examined and optimized. Next, digital microscopic imaging systems are compared and characterized. Finally, a relation between parameters of the DIC algorithm (such as subset shape and size) and the accuracy is determined.
LEOPARDSAT CONSTELLATION
Low Earth Orbit Phased Array Radar Detection satellite constellation for the Royal Netherlands Air Force
Bachelor thesis
(2015)
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T. Benedicto Rinaudo, A.J. Boerdijk, D.L. Coolen, S. al jaberi, J. Klapwijk, M.P. Nieuwenhuijsen , D.J.P. Schroyen, W. de Zeeuw, P. Liu, T.G. Watts, J. Geul