Analytische Chemie
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Organisationseinheit der BAM
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Eingeladener Vortrag
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Increased speed, heavier loads, altered material and modern drive systems result in an increasing number of rail flaws. The appearance of these flaws also changes continually due to the rapid change in damage mechanisms of modern rolling stock. Hence, interpretation has become difficult when evaluating non-destructive rail testing results. Due to the changed interplay between detection methods and flaws, the recorded signals may result in unclassified types of rail flaws. Methods for automatic rail inspection (according to defect detection and classification) undergo continual development. Signal processing is a key technology to master the challenge of classification and maintain resolution and detection quality, independent of operation speed. The basic ideas of signal processing, based on the Glassy-Rail-Diagram for classification purposes, are presented herein. Examples for the detection of damages caused by rolling contact fatigue also are given, and synergetic effects of combined evaluation of diverse inspection methods are shown.
Nicht nur die Qualitätssicherung von Bauteilen wird immer wichtiger und muss immer höheren Anforderungen entsprechen, sondern auch die dafür verwendete Prüfeinrichtung und die Sensorik. Für die Qualitätssicherung von Ultraschall-Prüfköpfen mit Luftankopplung bestand die bisherige Lösung darin, baugleiche Wandler als Aktuatoren (Referenzsender) einzusetzen.
Für eine Weiterentwicklung der Wandler ist eine akustische Quelle wünschenswert, die eine weit größere Bandbreite mit flachem Frequenzgang aufweist, als die zu untersuchenden Prüfköpfe. Hier bieten sich thermoakustische Wandler an, die keine ausgeprägten Resonanzen haben und über eine hohe Bandbreite verfügen (min. 10 kHz bis 1 MHz). Diese wurden von der BAM in Berlin entwickelt und decken den Frequenzbereich von typischen Luftultraschall-Prüfköpfen vollständig ab.
Der Vortag beschreibt die Besonderheiten der Ansteuerung dieser Wandler, die einen Innenwiderstand von ca. 7 Ohm besitzen und eine Pulsleistung von etwa 10 kW benötigen.
Ferner werden erste Ergebnisse der Charakterisierung von unterschiedlichen piezokeramischen Prüfköpfen im Frequenzbereich von 50 kHz bis 500 kHz präsentiert.
Beispielhaft zeigte ein Prüfkopf mit mehreren Anpassschichten lokale Frequenzunterschiede im Schallfeld.
An essential task in many industries, e.g. food, petrol or chemical industry, is the precise and accurate characterization of liquids. Therefore, the development of innovative in-line sensors is of great interest. New concepts based on periodic structures, so-called phononic crystals (PnCs), are an interesting idea for the design of innovative sensors.
A PnC-based sensor can be designed by introducing a resonance inside a bandgap, a frequency region where no wave propagation is allowed. High-Q measurement systems using PnCs are already reported in the literature. However, existing designs cannot be implemented into a piping system directly, but need special fittings, openings or by-passes to be in contact with the liquid.
To circumvent this issue, we develop a new sensor based on PnCs, which can be directly implemented as part of the piping system. For this purpose, we use a PnC consisting of hollow cylinders with a periodic change of the outer diameter.
A bandgap could be found for the described geometry without fluid in simulation and measurement. However, simulations show, that a bandgap for fluid-filled cylinders can only be obtained for quasi-longitudinal modes. Hence, we propose a mode selective excitation for the sensor.
An essential task in many industries, e.g. food, petrol or chemical industry, is the precise and accurate characterization of liquids. Therefore, the development of innovative in-line sensors is of great interest. New concepts based on periodic structures, so-called phononic crystals (PnCs), are an interesting idea for the design of innovative sensors.
A PnC-based sensor can be designed by introducing a resonance inside a bandgap, a frequency region where no wave propagation is allowed. High-Q measurement systems using PnCs are already reported in the literature. However, existing designs cannot be implemented into a piping system directly, but need special fittings, openings or by-passes to be in contact with the liquid.
To circumvent this issue, we develop a new sensor based on PnCs, which can be directly implemented as part of the piping system. For this purpose, we use a PnC consisting of hollow cylinders with a periodic change of the outer diameter.
A bandgap could be found for the described geometry without fluid in simulation and measurement. However, simulations show, that a bandgap for fluid-filled cylinders can only be obtained for quasi-longitudinal modes. Hence, we propose a mode selective excitation for the sensor.
Rail inspection performed by ultrasonic rail inspection trains is a complex and challenging process. A large number of variables and parameters given by the environment, the track and the testing-system have an influence on the overall performance of the inspection and the inspection result. Typically the parameter vary in a combination depending on the track condition.
To evaluate the individual influence of each relevant variable, simulation tools can be used. Therefore the entire inspection process has to be transferred into a model using combined modelling techniques.
The goal of this work is to model an instrumented ultrasonic test run with a rail inspection train with the parameters varied by a script over a virtually driven distance.
For more than 60 years ultrasonic rail inspection is used as non-destructive testing method to ensure the safe operation of rail tracks. Constantly increasing traffic density and heavy loads have been the motor for the development of new test equipment from handheld devices to rail inspection trains. (Krull 2003)Up to the present most of the system solutions feature conventional ultrasonic transducers housed in wheel-type and slide-type probes. Different tasks have to be carried out during an in-service inspection for flaws in the rail head, rail web and rail foot as well as rolling contact fatigue (Heckel 2018). The more tasks the inspection system has to perform, the more probes are needed. Compared against standard ultrasonic testing methods the application of array probes offers advantages and flexibility by the electronic steering possibilities to control the transmitted and received sound fields. This allows to increase functionality by software while decreasing the number of probes needed in hardware in parallel. One drawback in application of phased array probes is that the repetition frequency of the subsequent measurements will be reduced by the number of virtual probe functions each phased array probe has to perform. This may limit the range of use for phased array probes in high speed applications. To overcome these limits special designs for array probes and signal processing are necessary.
For more than 60 years ultrasonic rail inspection is used as non-destructive testing method to ensure the safe operation of rail tracks. Constantly increasing traffic density and heavy loads have been the motor for the development of new test equipment from handheld devices to rail inspection trains. (Krull 2003)Up to the present most of the system solutions feature conventional ultrasonic transducers housed in wheel-type and slide-type probes. Different tasks have to be carried out during an in-service inspection for flaws in the rail head, rail web and rail foot as well as rolling contact fatigue (Heckel 2018). The more tasks the inspection system has to perform, the more probes are needed. Compared against standard ultrasonic testing methods the application of array probes offers advantages and flexibility by the electronic steering possibilities to control the transmitted and received sound fields. This allows to increase functionality by software while decreasing the number of probes needed in hardware in parallel. One drawback in application of phased array probes is that the repetition frequency of the subsequent measurements will be reduced by the number of virtual probe functions each phased array probe has to perform. This may limit the range of use for phased array probes in high speed applications. To overcome these limits special designs for array probes and signal processing are necessary.
Acoustic-structure interaction in the Scaled Boundary Finite Element Method for primsatic geometries
(2019)
Due to the short wavelength compared to the dimensions of the structure, the simulation of ultrasonic waves is still a challenging task. A numerical method well suited for this purpose is the semi-analytical Scaled Boundary Finite Element Method (SBFEM). When applying this method, only the boundary of a computational domain is discretized using finite elements, while the interior is described by an analytical ansatz. Hence, the number of degrees of freedom is reduced significantly compared to the classical Finite Element Method (FEM).
In recent years, a particular formulation of the SBFEM for the simulation of ultrasonic guided waves was developed. The method constitutes an efficient algorithm for prismatic structures of arbitrary length, such as plates, pipes, or beams. Wave propagation phenomena in such structures can be modeled for isotropic and anisotropic inhomogeneous waveguides. Even though the method is an efficient tool for the simulation of guided waves in solid media, a reliable model for the simulation of acoustic wave propagation in fluids as well as acoustic-structure interaction in terms of SBFEM is still missing. In principle, the fluid can be described by a displacement-based formulation and thus be implemented in existing SBFEM algorithms for solid bodies. However, due to the discretization with classical finite elements, spurious modes occur, which cannot be separated from the physical modes straightforwardly. The spurious modes can be suppressed using a penalty parameter. Although very accurate results were achieved for some problems, this procedure has been proven unreliable for certain cases.
For this reason, we propose a different approach in this contribution. We employ a pressure model to simulate the acoustic behavior of fluids. The implementation of the pressure model results in a higher effort due to the necessity of incorporating coupling terms, but it presents a stable alternative without spurious modes. The accuracy of the method is demonstrated in comparison with analytical solutions and results obtained using the FEM.
Rail inspection performed by ultrasonic rail inspection trains is a complex and challenging process. A large number of variables and parameters given by the environment, the track and the testing-system have an influence on the overall performance of the inspection and the inspection result. Typically the parameter vary in a combination depending on the track condition.
To evaluate the individual influence of each relevant variable, simulation tools can be used. Therefore the entire inspection process has to be transferred into a model using combined modelling techniques.
The goal of this work is to model an instrumented ultrasonic test run with a rail inspection train with the parameters varied by a script over a virtually driven distance.
Air-coupled ultrasound was used for assessing natural defects in wood boards by through-transmission scanning measurements. Gas matrix piezoelectric (GMP) and ferroelectret (FE) transducers were studied. The study also included tests with additional bias voltage with the ferroelectret receivers. Signal analyses, analyses of the measurement dynamics and statistical analyses of the signal parameters were conducted. After the measurement series, the samples were cut from the measurement regions and the defects were analyzed visually from the cross sections. The ultrasound responses were compared with the results of the visual examination of the cross sections. With the additional bias voltage, the ferroelectret measurement showed increased signal-to-noise ratio, which is especially important for air-coupled measurement of high-attenuation materials like wood. When comparing the defect response of GMP and FE sensors, it was found that FE sensors had more sensitive dynamic range, resulting from better s/n ratio and short response pulse. Classification test was made to test the possibility of detecting defects in sound wood. Machine learning methods including decision trees, k-nearest neighbor and support vector machine were used. The classification accuracy varied between 72 and 77% in the tests. All the tested machine learning methods could be used efficiently for the classification.