Charaterization of CFRP with Lockin Thermography

Thermal waves are suited for non-contacting inspection of near-surface areas of solids [1]. The reason for this depth limitation is the strong attenuation of this modulated thermal diffusion process. The resulting depth range is frequency dependent, hence it has been pointed out very early that thermal waves allow for depth profiling by variation of modulation frequency [2, 3]

Development of a data-driven business model transformation tool

Rapidly changing environments and customer demands force companies to transform their business models in ever shorter periods of time. However, existing approaches like the business model canvas and corresponding tools mainly focus on documentation on a strategic level and do not actively support the business model transformation process from a current state towards a target state. To address this problem, we derive requirements for a business model transformation tool. We translate these requirements into design principles and present a toolset for data-driven business model transformation. This toolset enables companies to extract status quo business models from existing operational information systems. Furthermore, it allows the representation of explicit relationships between the different value dimensions of a business model and enables quantifying the impact of changes. The result of this paper is a set of requirements, design principles as well as a tool instantiation, which can actively support the business model transformation process

Quantitative Near Field Imaging with Multi-Detector Waveguide

Near field imaging with open ended waveguides has found increasing interest [1–3]. The basic idea is to scan across samples with a waveguide transducer as a reflection near field probe in order to characterize material properties and image defects that are much smaller than the wavelength. The reflection will form in the waveguide a standing wave where amplitude and phase depend on local intensity and phase of reflection. These effects can be demonstrated with slotted line measurements of the standing wave pattern. For example the investigations in figure 1 show the standing wave patterns for homogenous material and for a hidden hole. Depending on the material properties there is a change in phase and magnitude of the standing wave.</p

Microwave Characterization of Glass Fiber Reinforced Polymers With a Multi-Detector Waveguide

Glas fiber reinforced polymers are increasingly being used in all kinds of applications. The main reason for this is that one obtains excellent mechanical properties (e.g. strength) at an acceptable price. The optimal use is achieved only if a reliable characterization can be performed of the material and of the components made out of it. Therefore nondestructive testing methods are important. It has been shown previously that microwaves are suited for defect characterization [1–3] and for the determination both of fiber content and orientation [4,5]. A detector arrangement with 4 detectors located along a rectangular waveguide responds to the refractive index and to the attenuation of the material at microwave frequencies. Therefore it has been used for defect characterization [6,7], and it is also applicable to determine fiber content: Figure 1 shows how phase and amplitude derived from the signals of the 4 detectors depends on fiber content

Microwave Characterization of Glass Fiber Reinforced Polymers With a Multi-Detector Waveguide

Glas fiber reinforced polymers are increasingly being used in all kinds of applications. The main reason for this is that one obtains excellent mechanical properties (e.g. strength) at an acceptable price. The optimal use is achieved only if a reliable characterization can be performed of the material and of the components made out of it. Therefore nondestructive testing methods are important. It has been shown previously that microwaves are suited for defect characterization [1–3] and for the determination both of fiber content and orientation [4,5]. A detector arrangement with 4 detectors located along a rectangular waveguide responds to the refractive index and to the attenuation of the material at microwave frequencies. Therefore it has been used for defect characterization [6,7], and it is also applicable to determine fiber content: Figure 1 shows how phase and amplitude derived from the signals of the 4 detectors depends on fiber content.</p

Charaterization of CFRP with Lockin Thermography

Thermal waves are suited for non-contacting inspection of near-surface areas of solids [1]. The reason for this depth limitation is the strong attenuation of this modulated thermal diffusion process. The resulting depth range is frequency dependent, hence it has been pointed out very early that thermal waves allow for depth profiling by variation of modulation frequency [2, 3].</p