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In infrared thermography, the interaction of the heat flow with the internal geometry or inhomogeneities in a sample and their effect on the transient temperature distribution is used, e.g., to detect defects non-destructively. An equivalent way of describing this is the propagation of thermal waves inside the sample. Although thermography is suitable for a wide range of inhomogeneities and materials, the fundamental limitation is the diffuse nature of thermal waves and the need to measure their effect radiometrically at the sample surface only. The crucial difference between diffuse thermal waves and propagating waves, as they occur, e.g., in ultrasound, is the rapid degradation of spatial resolution with increasing defect depth. This degradation usually limits the applicability of thermography for finding small defects on and below the surface.
A promising approach to improve the spatial resolution and thus the detection sensitivity and reconstruction quality of the thermographic technique lies in the shaping of these diffuse thermal wave fields using structured laser thermography.
Some examples are:
• Narrow crack-like defects below the surface can be detected with high sensitivity by superimposing several interfering thermal wave fields,
• Defects very close to each other can be separated by multiple measurements with varying heating structures,
• Defects at different depths can be distinguished by an optimized temporal shaping of the thermal excitation function,
• Narrow cracks on the surface can be found by robotic scanning with focused laser spots.
We present the latest results of this technology obtained with high-power laser systems and modern numerical methods.
In this paper, we investigate the influence of different heat source pulse shapes by Infrared impulse thermography (IRT) on the results of the thermal shock response spectrum (TSRS) methodology. TSRS is a new alternative approach for evaluating impulse thermography (IRT) data based on an analogy to Shock Response Spectrum (SRS) analysis (ISO 18431) for mechanical systems. It allows processing the entire recorded signal without truncating the saturated thermogram, as in pulse-phase thermography (PPT) or thermal signal reconstruction (TSR). For this purpose, we use a widespread halogen lamp as heat source as well as laser spot. The laser source enables not only to generate a precise shape of the pulse, but also to heat a specific area of the sample uniformly. This makes it possible to suppress influences of lateral fluxes due to uneven distribution of the excitation source on the surface of the specimen and leads to improved results. In order to quantitatively compare the results and to investigate the possible influence of the source shape on the TSRS, the Tanimoto criterion and the signal-to-noise ratio (SNR) were applied to the region of interest (ROI) of the carbon fiber reinforced polymer (CFRP) laminate with artificial defects as defect detectability criterion.
Several investigation groups have studied the flame-retardancy modes of action and properties of epoxy resins in the past; nevertheless, the selection of suitable flame retardants for epoxy resins remains challenging, and the transfer to fiber composites is difficult. The addition of flame retardants and glass fibers (GFs) to a polymeric system in a fire scenario changes the polymer's pyrolytic path and burning characteristics, reduces the heat released in the combustion, and suppresses the modes of action in the condensed and gas phase. In this study, the thermal analysis, flammability, fire behavior, residue analysis, fire stability, and quantification of modes of action of three different systems with three halogen-free flame retardants (melamine polyphosphate (MPP), ammonium polyphosphate (APP), and silane ammonium polyphosphate (SiAPP)) and three different types of GFs (unidirectional (UD), bidirectional (BD), and woven roving (WR)) will be compared with pure epoxy resin as a reference.
Distributed fiber optic sensing (DFOS) technique is a promising and robust non-destructive testing tool that can seamlessly acquire environmental conditions over large scales. Therefore, it has found extensive applications in structural health monitoring. Its appeal for monitoring underground facilities lies in the intrinsic properties of the optical fiber, such as immunity to magnetic interference, small size, chemical inertia, etc. This paper provides a concise overview of DFOS applications in underground facility monitoring. Following a brief introduction to the working principle of the DFOS technique, various examples are provided to demonstrate how distributed fiber sensors contribute to monitoring underground facilities. The paper presents unpublished field test results with an emphasis in the energy sector, including monitoring gas storage facilities, geothermal reservoir exploration, and ground movement detection. Furthermore, the paper identifies several directions for enhancing the DFOS system.
Im Rahmen des Forschungsprojekts "Artificial Intelligence for Rail Inspection" (AIFRI) wird ein KI-Algorithmus entwickelt, um die Fehlererkennung und Bewertung bei der Auswertung von Schienenprüfungen mittels Ultraschall- und Wirbelstromprüfverfahren zu verbessern. Die Bandbreite möglicher Defekte und die Menge an Einflussgrößen auf die Schienenprüfung ist sehr groß, aber die Prüfdaten aus dem Feld bilden diese Bandbreite nicht balanciert ab und sind unzureichend gelabelt. Durch Simulationen werden große Mengen detailliert gelabelter Daten für relevante Schienenschädigungen und Artefakte bereitgestellt. Aus diesen Daten werden wiederum virtuellen Prüffahrten erstellt, die für das Training und die Validierung der KI genutzt werden können.
In unserem Vortrag stellen wir den Erstellungsprozess der Datensätze vor. Jeder Schritt von der Geometriedarstellung bis zur Datenverarbeitung wird erfasst. Der Fokus wird auf Simulationsergebnisse und deren Verarbeitung gelegt. Die Signalverarbeitung spielt in den Datensätzen eine große Rolle, dabei werden die Datensätze an die realen Daten angepasst. Für Wirbelstrom und Ultraschall werden diese Prozesse im Hinblick auf die Fehlertypen Head Checks und Bohrungsanrisse veranschaulicht. Ferner diskutieren wir die Simulation von Schweißnähten, die von beiden Prüfsystem detektiert werden können; und somit besondere Abstimmung bedürfen aber auch Synergieeffekte zwischen den Prüfsystem ermöglichen.
Für die Ablage der Datensätze verweisen wir auf das ebenfalls eingereichte Poster „Verwendung von DICONDE bei der Eisenbahn-Schienenprüfung“.
Das Projekt AIFRI wird im Rahmen der Innovationsinitiative mFUND unter dem Förderkennzeichen 19FS2014 durch das Bundesministerium für Digitales und Verkehr gefördert.
Revolutionizing our polymer industry for adaption to a sustainable carbon circular economy has become one of today’s most demanding challenges. Exploiting renewable resources to replace fossil-fuel—based plastics with biopolymers such as poly(lactic acid) (PLA) is inevitable while using waste streams as a raw material resource at least is promising. When it comes to using PLA as technical polymer, its high flammability must be addressed by flame retardants compatible with the thermoplastic processing of PLA and its compostability. This study proposes microalgae enriched with phosphorus from wastewater (P-Algae) as an elegant way towards a kind of sustainable organophosphorus flame retardant. The concept is demonstrated by investigating the processing, pyrolysis, flammability, and fire behavior of PLA/P-Algae, while varying the P-Algae content and comparing P-Algae with four alternative bio-fillers (phosphorylated lignin, biochar, thermally treated sewage sludge, and metal phytate) with different P-contents as meaningful benchmarks.
Efficient flame retardancy is often achieved only when applying synergistic multicomponent systems. Flame retardants are combined or used together with adjuvants or synergists to enhance their efficiency, reduce the amount required, or reduce the costs; fibers and fillers contribute to fire properties crucially. Although the main flame-retardant modes of action are known, the detailed scientific understanding usually falls short, when it comes to complex synergistic multicomponent systems, the important tiny optimizations, or quantifying in terms of specific fire properties. This paper tries to illuminate the concept of synergistic flame retardants. The need for the multicomponent approach and the main phenomena are described. Thought-provoking impulses are delivered on how the understanding of multicomponent systems promotes the evidence-based development of future flame retardant polymeric materials. Multicomponent systems are discussed in their capacity as general powerful strategy for achieving and optimizing flame retardant polymeric materials.
This paper is based mainly on the overall conclusions and concrete results of several projects performed in the group of the author. Thanks to my (former) students and co-operation partners in these projects. Thanks for financing to DFG (Scha 730/8-1 Scha 730/8-2, Br 3376/1-1, Scha 730/19-1), AiF IGF (438 ZN, 17833N/2, 19078 N/2), and BMBF (03X0111C, 01DN16040).
Blast injuries are among the most common injuries in military operations. Also, in civilian environments, more explosive threats are expected in the future due to emerging conflicts and threats. While the effect of fragments, which is classified as secondary blast injury, could be minimized by police and military personnel’s modern ballistic body protection systems, the effects of shock wave propagation in the body as part of the primary explosion trauma still remain a serious threat needing further research.
The detonation-physical processes of highly dynamic pressure changes within the human body, the reflection-related amplification of shock waves at organ-dermis interfaces, and the consequences of injury mechanisms have become more prominent in international research. Various approaches have been used to investigate these aspects. Animal experiments on free field test sites or shock tube setups combined with a subsequent biological evaluation and numerical simulations provided promising results and allowed the discussion of different biomechanical aspects. However, due to poor reproducibility and a lack of short-term dynamic material properties, most research approaches have significant limitations. Laboratory test setups do not represent real-scale high explosive detonation parameters with regards to pressure characteristics, impulse duration and blockage problems. Measured values are interpreted with partly outdated, selective and not validated limit values for overpressures from field tests with animals. This is due to the lack of a validated and comprehensive data set covering a variation of the crucial parameter. Injury mechanisms and their effects have not yet been sufficiently elucidated for the torso and extremities.
In order to contribute to the research efforts on the primary explosion effects, the German Federal Armed Forces established an interdisciplinary military medical research project in cooperation of the Bundeswehr Hospital Berlin and the German Federal Institute for Materials Research and Testing (BAM). The aim of the planned investigation is the development of a multidisciplinary method to investigate shock wave behavior in various generic tissue simulants under the most reproducible conditions possible with realistic loads in an experimental test series with short set-up times.
Following directly from the information presented at IFBIC 2023 on the research project 'Investigation of intracorporeal shock wave propagation using a simplified torso model and a shock wave generator', the latest results are presented below [1]. In order to contribute to the research efforts on the primary explosion effects, the aim of the investigation is the development of a multidisciplinary method to investigate shock wave behavior in various generic tissue simulants under the most reproducible conditions possible with realistic loads in an experimental series with short set-up times.
To achieve this, an autoclave with a volume of 0.065 m3 is used to generate reproducible pressure waves (Fig. 1). The autoclave will be referred to as Shockwave Generator (SWG). The pressure wave is produced by the detonation of a stoichiometric mixture of acetylene and oxygen under atmospheric conditions. The SWG-outlet is sealed by a rupture disc, which can be adjusted in thickness to vary the initial pressure. Additionally, modifying the composition of the acetylene-oxygen mixture can result in different load cases. The SWG requires approximately 30 minutes of set-up time between trials. The SWG was adjusted to match the characteristics of a real and typical explosive through free-field measurements. The experiments demonstrated that the pressure wave propagates in a hemispherical shape and has sufficient reproducibility.
To represent soft tissue, a basic model made of homogeneous ballistic gelatin is used in a geometrically simplified torso model (STM) (Fig. 2). The STM was enlarged to outer dimensions of 400 x 250 x 240 mm. Viscoelastic behavior of the ballistic gelatin can be assumed due to the collagen structure [2]. The density of the ballistic gelatin, and therefore the sound velocity, can be adjusted by changing the mixing ratio. Simplified simulants, such as hollow and solid material (bone simulant), were embedded in the STM. Additionally, the STM has been tested as a carrier material for biological substances, such as indicator species. The next step is to test the STM as a carrier material for larger organic tissue structures such as lungs or kidneys. The organic tissue samples will undergo histological examination to analyze their structural changes afterwards. The STM is equipped with embedded piezoelectric pressure sensors, an accelerometer and a temperature sensor. Visual documentation is captured using a high-speed camera. This measurement setup allows for the tracking of the coupled pressure wave and its behavior within the model and at the media transitions. Pressure values can be recorded after certain media changes, such as from soft tissue to a solid material (Figure 3).
The following is a review of the optimizations made to the entire experimental setup. The reproducibility of the SWG was increased. This was achieved by extending the evacuation process to the entire feed system of the SWG. Nitrogen residues in the SWG system can thus be avoided. As a result, the double peaks that occur at the first maximum can be avoided, as combustion runs more evenly without the nitrogen residues. In addition, partially varying peak overpressures can be avoided, as the acytelene-oxygen mixture is not too lean due to the elimination of the nitrogen residues. The workflow has been streamlined, resulting in an average set-up time of 25 minutes for the SWG. In the case of the STM, the manufacturing process in particular was optimized by examining and defining the manufacturing process based on scientific publications, which increases the reproducibility of the STM base bodies. As already mentioned in the previous paragraph, the STM was equipped with various additives in order to investigate the transition behavior of the pressure wave.
The following trail serves as an example: A comparison is made between the STM in the basic structure (Fig. 2 l.s.) and with an embedded solid material (bone plate) (Fig. 3 l.s.). An external overpressure of 100 kPa is generated by the SWG at a distance of 1 m, where the STM is placed. For the basic STM structure, the sensor distance is consistently 100 mm. The internal overpressure is visible in Fig. 2 r.s.. A typical ideal pressure curve can be seen. The characteristic points are easily distinguishable from the reflection peaks. In the STM with an embedded solid material, the sensor distance remains consistently at 66.6 mm