2019
DOI: 10.1007/s13272-019-00436-8
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Sensor based online quality monitoring system for detection of milling defects on CFRP structures

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Cited by 3 publications
(3 citation statements)
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“…In robotic applications and CFRP metrology, following technologies are most common: (short-range) photogrammetry [14,31,32], structured light [33][34][35], thermography [36][37][38], laser scanners [39][40][41] and laser triangulation [42][43][44][45]. In addition, hybrid variants exist [14,29,30].…”
Section: Optical Metrology In Cfrp Applicationsmentioning
confidence: 99%
See 1 more Smart Citation
“…In robotic applications and CFRP metrology, following technologies are most common: (short-range) photogrammetry [14,31,32], structured light [33][34][35], thermography [36][37][38], laser scanners [39][40][41] and laser triangulation [42][43][44][45]. In addition, hybrid variants exist [14,29,30].…”
Section: Optical Metrology In Cfrp Applicationsmentioning
confidence: 99%
“…Examples range from antireflection coatings [30] to different filters and algorithms for image segmentation and processing [42,44,47]. Occasionally, interfering effects can be neglected due to their magnitude in relation to the actual measured object, for example in the detection of fiber fraying [45] or cut edges in prepreg deposition [43]. Characteristic in each case is the evaluation of already processed components for quality monitoring.…”
Section: Optical Metrology In Cfrp Applicationsmentioning
confidence: 99%
“…Xu et al [5] studied the CFRP material machining in terms of wear behavior and machining responses. Rawal et al [6] detected the milling defects on CFRP structures using the sensor-based online quality monitoring system. Kumar and Verma [7] optimized the multiple response in machining (milling) of graphene oxide-doped EPOXY/CFRP composite using COCOSO-PCA.…”
Section: Introductionmentioning
confidence: 99%