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- Additive manufacturing (2)
- Laser-metal-deposition (2)
- Process chain (2)
- Artificial neural network (1)
- Bulk metallic glasses (1)
- Chemical analysis (1)
- Clustering (1)
- Computer vision (1)
- Condition monitoring (1)
- Deep learning (1)
Organisationseinheit der BAM
The neutron time-of-flight spectrometer NEAT has a long history of successful applications and is best suited to probe dynamic phenomena directly in the large time domain 10(-14) - 10(-10) s and on the length scale ranging from 0.05 to up to about 5 nm. To address user community needs for more powerful instrumental capabilities, a concept of the full upgrade of NEAT has been proposed. The upgrade started in 2010 after a rigorous internal and external selection process and resulted in 300-fold neutron count rate increase compared to NEAT01995. Combined with new instrumental and sample environmental capabilities the upgrade allows NEAT to maintain itself at the best world class level and provide an outstanding experimental tool for a broad range of scientific applications. The advanced features of the new instrument include an integrated guide-chopper system that delivers neutrons with flexible beam properties: either highly homogeneous beam with low divergence suitable for single crystals studies or "hot-spot" neutron distribution serving best small samples. Substantial increase of the detector angle coverage is achieved by using 416 He-3 position sensitive detectors. Placed at 3m from the sample, the detectors cover 20m(2) area and are equipped with modern electronics and DAQ using event recording techniques. The installation of hardware has been completed in June 2016 and on January 23, 2017 NEAT has welcomed its first regular users who took advantage of the high counting rate, broad available range of incoming neutron wavelengths and high flexibility of NEAT. Here we present details of NEAT upgrade, measured instrument characteristics and show first experimental results.
Komplexe Bauteile ohne Fügestellen sind die Spezialität additiver Verfahren. Immer deutlicher wird der Wert dieser Technologie für den Turbomaschinenbau, etwa bei der Fertigung von Turbinenschaufeln mit inneren Kühlstrukturen. Wichtig für vorbildgetreue Turbinenkomponenten: Die Technologie ermöglicht die Fertigung von Freiformen und Hinterschnitten, von außen- und innenliegenden filigranen, komplexen Strukturen als Einzelteil - und das in einem einzigen Arbeitsschritt. Des Weiteren benötigen additive Verfahren keine formgebenden Werkzeuge und weisen demnach kürzere Prozessketten im Vergleich zu konventionellen Herstellungsverfahren auf. Wirtschaftliche Vorteile kommen vor allem bei kleinen Losgrößen und Bauteilabmessungen zur Geltung.
In diesem Artikel werden am Beispiel einer Turbinenschaufel Schlüsseltechnologien einer additiven Prozesskette gezeigt. Zunächst erfolgt die additive Fertigung einer Turbinenschaufel mittels Selective Laser Melting (SLM). Das Verfahren ermöglicht die Integration innenliegender Kühlkanäle. An dieser Schaufel wird anschließend mittels Laser-PulverAuftragschweißen (LPA) die Reparatur unterschiedlicher Beschädigungen demonstriert. Im nächsten Schritt der Prozesskette bietet ein optischer 3D-Scan der Schaufel die Möglichkeit zur Qualitätskontrolle und zum Vergleich der Bauteilabmessungen mit der Sollgeometrie.
The industrial demand for flexible and innovative manufacturing technologies is continuously increasing. These technologies have to be sustainable and resource-efficient, and have to allow the production of long-life capital goods. Consequently, the additive processes gain in importance as they offer an enormous potential of application, especially for the turbomachinery industry.
In order to use additive manufacturing technologies in industrial applications, it is necessary to consider the complete process chain, including all necessary pre- and postprocessing. Although additive manufacturing is increasingly covered in scientific research, the linking between this technology and conventional industrial processes is rarely described.
Maintenance, Repair and Overhaul (MRO) is acquiring increasing commercial and socio-economic significance. For products and goods with high investment costs and a long lifespan, especially in the sectors of energy and transportation, a considerable portion of commercial profits are generated by after-sales services. In the field of research and development, not enough attention has been paid so far to tasks and approaches involving MRO. The field thus has a limited scientific background, despite a high potential in the business sector for technological and scientific optimization. The challenges and chances of MRO for sustainable enterprises will be explained with reference to the Fraunhofer Innovation Cluster Maintenance, Repair and Overhaul in Energy and Transport. The developments and project results of the four fields of innovation »Cleaning«, »Repair and Overhaul«, »Condition Monitoring and Diagnosis«, as well as »MRO Planning and Digital Assistance« will be explained.
Selective Laser Melting (SLM) and Laser Metal Deposition (LMD) are prominent methods in the field of additive manufacturing technology. While the powder-bed based SLM allows the manufacturing of complex structures, buildrate and part volumes are limited. In contrast, LMD is able to operate with high deposition rates on existing parts, however shape complexity is limited. Utilizing their respective strengths, a combination of these two additive technologies has the potential to produce complex parts with high deposition rates.
In this paper, a process chain consisting of additive technologies SLM and LMD is described. The experiments are conducted using the alloys Ti-6Al-4V and Inconel 718. A cylindrical test specimen is produced and the microstructure along the SLM-LMD zone is described. In addition, this process chain was tested in the manufacturing of a turbine blade. The feasibility of implementing this process chain for small batch production is discussed. The results are evaluated to show advantages and limitations of the SLM-LMD process chain. This paper is relevant for industrial or scientific users of additive manufacturing technologies, who are interested in the feasibility of a SLM-LMD process chain and its potential for increased deposition rates.
This paper demonstrates that the instrumented indentation test (IIT), together with a trained artificial neural network (ANN), has the capability to characterize the mechanical properties of the local parts of a welded steel structure such as a weld nugget or heat affected zone.
Aside from force-indentation depth curves generated from the IIT, the profile of the indented surface deformed after the indentation test also has a strong correlation with the materials’ plastic behavior. The profile of the indented surface was used as the training dataset to design an ANN to determine the material parameters of the welded zones. The deformation of the indented surface in three dimensions shown in images were analyzed with the computer vision algorithms and the obtained data were employed to train the ANN for the characterization of the mechanical properties. Moreover, this method was applied to the images taken with a simple light microscope from the surface of a specimen. Therefore, it is possible to quantify the mechanical properties of the automotive steels with the four independent methods: (1) force-indentation depth curve; (2) profile of the indented surface; (3) analyzing of the 3D-measurement image; and (4) evaluation of the images taken by a simple light microscope. The results show that there is a very good Agreement between the material parameters obtained from the trained ANN and the experimental uniaxial tensile test. The results present that the mechanical properties of an unknown steel can be determined by only analyzing the images taken from its surface after pushing a simple indenter into its surface.
Laser-Metal-Deposition (LMD) and Plasma-Transferred-Arc (PTA) are well known Technologies which can be used for cladding purposes. The prime objective in combining LMD and PTA as a Hybrid Metal Deposition-Technology (HMD) is to achieve high Deposition rates at low thermal Impact. Possible applications are coatings for wear protection or repair welding for components made of steel. The two energy sources (laser and Plasma arc) build a Joint process Zone and are configurated to constitute a stable process at laser powers between 0.4-1 kW (defocused) and Plasma currents between 75-200 A. Stainless steel 316L serves as filler material. For this HMD process, a Plasma Cu-nozzle is designed and produced by powder bed based Selective Laser Melting. The potential of the HMD Technology is investigated and discussed considering existing process. This paper demonstrates how the interaction of the two energy sources effects the following application-relevant properties: Deposition rate, powder Efficiency and energy Input.
The paper deals with the integration of a light emitting diode (LED) into an additive manufactured metal component. Selective laser melting (SLM) and laser metal deposition (LMD) are used. The material used is the chrome-nickel steel 316L. The basic component is manufactured by means of SLM and consists of a solid body and an area with grid structure. The solid body includes a duct in the shape of a groove with a recess for the positioning of the power cable. The LED is embedded in the grid structure via an inlet from the solid body. In further processing, the groove is filled with LMD. Two strategies with different parameter combinations were investigated. It shows that a high energy input near the power cable leads to its destruction. By using multiple parameter combinations during the manufacturing process, this destruction can be prevented. There was a comparison of both strategies with regard to the necessary number of tracks and duration of welding time.
Bulk metallic glasses (BMG) are amorphous metal alloys known for their unique physical and mechanical properties. In the present study, the formation of femtosecond (fs) laser-induced periodic surface structures (LIPSS) on the Zr-based BMGs Zr46Cu46Al8, Zr61Cu25Al12Ti2, Zr52.5Cu17.9Al10Ni14.6Ti5 (Vit105) and Zr57Cu15.4Al10Ni12.6Nb5 (Vit106) was investigated as a function of their different chemical composition. For this purpose, LIPSS were generated on the sample surfaces in an air environment by fs-laser irradiation (λ = 1025 nm, τ = 300 fs, frep = 100 kHz). The surface topography was characterized by scanning electron microscopy and atomic force microscopy. Moreover, the impact of LIPSS formation on the structure and chemical surface composition was analyzed before and after fs-laser irradiation by X-ray diffraction and X-ray photoelectron spectroscopy as well as by transmission electron microscopy in combination with energy dispersive X-ray spectroscopy. Despite the different chemical composition of the investigated BMGs, the fs-laser irradiation resulted in almost similar properties of the generated LIPSS patterns. In the case of Zr61Cu25Al12Ti2, Vit105 and Vit106, the surface analysis revealed the preservation of the amorphous state of the materials during fs-laser irradiation. The study demonstrated the presence of a native oxide layer on all pristine BMGs. In addition, fs-laser irradiation results in the formation of laser-induced oxide layers of larger thickness consisting of an amorphous ZrAlCu-oxide. The precise laser-structuring of BMG surfaces on the nanoscale provides a versatile alternative to thermoplastic forming of BMG surfaces and is of particular interest for the engineering of functional material surfaces.
The acid catalyzed solgel type synthesis of polyorganosiloxane core-shell nanoparticles with removable PDMS core in aqueous dispersion leads to the inherent formation of a bimodal size distribution with smaller spheres having approximately 26 nm radii and larger nanoparticles with 60 nm in radius. The origin of the self-organized bimodality is investigated and finally attributed to a combination of stabilization of the growing particles due to i) a miniemulsion-type stabilization by the ultrahydrophobe PDMS and ii) by surface co-stabilization by the employed surfactant. The significant influence of temperature, pH, stirrer speed and amount of the surfactant on the particle sizes allows for the design and fine-tuning of different nanoparticles sizes and distributions.