Concept for Automated Production of CFRP-metal Hybrid Compounds Integrated in an Automated Fiber Placement Process

Schmidt, Carsten; Denkena, Berend; Groß, Lukas; Völtzer, Klaas

doi:10.1016/j.procir.2016.06.046

Cited by 11 publications

(3 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…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%

“…The interactions between resin and fibers are shown in Figure 1. Provided that the resin is transparent to the corresponding wavelength, the measured surface is essentially defined by the embedded fibers and can be considered as anisotropic [1,43]. Thus, the observed reflections are a combined interaction of the different effects, e.g., multiple diffuse reflection, scattering, refraction, and partial absorption of the incoming rays, as well as the superposition of the rays reflected by the surfaces or intermediate layers.…”

Section: Optical Properties Of Cfrp Epoxy and Carbon Fibersmentioning

confidence: 99%

See 2 more Smart Citations

Sensor-guided machining of large-scale CFRP components based on resin transfer molded features

Muth,

Carstensen,

Hintze

et al. 2023

Optical Measurement Systems for Industrial Inspection XIII

View full text Add to dashboard Cite

Carbon fiber-reinforced Plastics (CFRP) are a key factor for achieving a carbon-neutral mobility sector due to their lightweight properties. Despite their near-net-shape manufacturing subsequent precision machining is required. In case of large-scale CFRP components, which are characterized by small quantities and low machining volumes, such processes are difficult to operate economically with conventional systems. Robotic systems offer a suitable solution. Their use in machining, however, requires additional measures to compensate for structural system limitations. In addition, individual deviations of the blanks require time-consuming measuring for referencing the machining system.To enable the use of cost-efficient robotic systems and to eliminate unproductive downtime for measuring, the intended manufacturing of CFRP components by Resin Transfer Molding (RTM) offers a new opportunity. RTM allows for the integration of defined features into the molding tool, which are reproduced inverted on the component and can be referenced by subsequent processes. This is utilized with adapted strategies for time-efficient measuring and high-precision machining.Fundamentals for the corresponding feature design as well as the selection of a suitable measuring device are presented. Focusing on laser-based sensors, the relationship between wavelength and (semi-)transparent surfaces is discussed and validated. Besides the metrological detection, production-specific aspects are also taken into account. Based on the gained knowledge, the main aspects of a proper sensor-feature combination are elaborated and prototypically realized. Finally, an outlook is provided on the challenges involved when implementing a robust algorithm for feature detection.

show abstract