@article{29208,
  abstract     = {{The parameters required to calculate the energy efficiency of household refrigerating appliances (i.e. refrigerators, freezers and their combinations) are determined by standard measurements. According to regulations, these measurements are carried out when the appliances are new. It is known from previous studies that various technical aging mechanisms can increase electrical energy consumption by up to 36 % over a product lifespan of 18 years. In order to determine the time dependence of the energy consumption of household refrigerating appliances, repeated measurements are carried out in this work. Eleven new appliances are examined under standard measurement conditions. After just two years of operation, an additional energy consumption of up to 11 % is determined. Furthermore, 21 older appliances that had previously been measured in new condition are tested again after up to 21 years of operation. For these older appliances, an average increase of energy consumption of 28 % is found. For individual appliances, the maximum increase is 36 %. An aging model is developed on the basis of these measurement results, which may help to predict the aging-related increase of energy consumption of household refrigerating appliances. This model shows an average increase in energy consumption of 27 % for an appliance age of 16 years. Supplemental performance tests of eight compressors do not show any significant aging effects related to these devices after two years of operation. Furthermore, measurements of the thermal conductivity of aged polyurethane foam test samples are carried out and an increase of its thermal conductivity of 26 % over a period of about three years is determined.}},
  author       = {{Paul, Andreas and Baumhögger, Elmar and Elsner, Andreas and Reineke, Michael and Hueppe, Christian and Stamminger, Rainer and Hoelscher, Heike and Wagner, Hendrik and Gries, Ulrich and Becker, Wolfgang and Vrabec, Jadran}},
  issn         = {{1359-4311}},
  journal      = {{Applied Thermal Engineering}},
  keywords     = {{Industrial and Manufacturing Engineering, Energy Engineering and Power Technology}},
  publisher    = {{Elsevier BV}},
  title        = {{{Impact of aging on the energy efficiency of household refrigerating appliances}}},
  doi          = {{10.1016/j.applthermaleng.2021.117992}},
  volume       = {{205}},
  year         = {{2022}},
}

@article{30678,
  author       = {{Javed, Muhammad Ali and Vater, Sebastian and Baumhögger, Elmar and Windmann, Thorsten and Vrabec, Jadran}},
  issn         = {{0021-9614}},
  journal      = {{The Journal of Chemical Thermodynamics}},
  keywords     = {{Physical and Theoretical Chemistry, General Materials Science, Atomic and Molecular Physics, and Optics}},
  publisher    = {{Elsevier BV}},
  title        = {{{Apparatus for the measurement of the thermodynamic speed of sound of diethylene glycol and triethylene glycol}}},
  doi          = {{10.1016/j.jct.2022.106766}},
  year         = {{2022}},
}

@article{31808,
  author       = {{Khider Abbas Abbas, Wameedh and Baumhögger, Elmar and Vrabec, Jadran}},
  issn         = {{2590-1745}},
  journal      = {{Energy Conversion and Management: X}},
  keywords     = {{Energy Engineering and Power Technology, Fuel Technology, Nuclear Energy and Engineering, Renewable Energy, Sustainability and the Environment}},
  publisher    = {{Elsevier BV}},
  title        = {{{Experimental investigation of organic Rankine cycle performance using alkanes or hexamethyldisiloxane as a working fluid}}},
  doi          = {{10.1016/j.ecmx.2022.100244}},
  year         = {{2022}},
}

@article{33255,
  author       = {{Betken, Benjamin and Beckmüller, Robin and Ali Javed, Muhammad and Baumhögger, Elmar and Span, Roland and Vrabec, Jadran and Thol, Monika}},
  issn         = {{0021-9614}},
  journal      = {{The Journal of Chemical Thermodynamics}},
  keywords     = {{Physical and Theoretical Chemistry, General Materials Science, Atomic and Molecular Physics, and Optics}},
  publisher    = {{Elsevier BV}},
  title        = {{{Thermodynamic Properties for 1-Hexene – Measurements and Modeling}}},
  doi          = {{10.1016/j.jct.2022.106881}},
  year         = {{2022}},
}

@article{34400,
  abstract     = {{Simulationen können Entwicklungsprozesse für individualisierte Federkraftbremsen zielgerichtet unterstützen. Die Herausforderung besteht dabei in der Vielzahl der unterschiedlichen physikalischen Effekte, die in Federkraftbremsen miteinander in Wechselwirkung stehen. Dieser Artikel beschreibt einen Ansatz für die Simulation des Schaltverhaltens von Federkraftbremsen unter Berücksichtigung der Elektrizität, des Magnetismus, der Mechanik, der Thermodynamik und der Thermodilatation in einem gemeinsamen Modell. Eine experimentelle Validierung weist die Gültigkeit des Modells nach. }},
  author       = {{Blumenthal, Lars Martin and Zimmer, Detmar}},
  issn         = {{0720-5953}},
  journal      = {{Konstruktion}},
  keywords     = {{Mechanical Engineering}},
  number       = {{11-12}},
  pages        = {{78--86}},
  publisher    = {{VDI Fachmedien GmbH and Co. KG}},
  title        = {{{Multidomänensimulation des Schaltverhaltens von Federkraftbremsen}}},
  doi          = {{10.37544/0720-5953-2022-11-12-78}},
  volume       = {{74}},
  year         = {{2022}},
}

@inproceedings{33981,
  author       = {{Ehlert, Meik and Henke, Christian and Trächtler, Ansgar}},
  booktitle    = {{Proceedings of the 12th International Conference on Simulation and Modeling Methodologies, Technologies and Applications}},
  publisher    = {{SCITEPRESS - Science and Technology Publications}},
  title        = {{{Analysis of Differential Algebraic Equation Systems for Connecting Energy Storages of Generally Valid Functional Mock-up Units}}},
  doi          = {{10.5220/0011305700003274}},
  year         = {{2022}},
}

@phdthesis{42071,
  author       = {{Mertin, Sven}},
  title        = {{{Konzept für ein hierarchisches autonomes Verkehrsmanagement}}},
  year         = {{2022}},
}

@inproceedings{30263,
  abstract     = {{High-strength wire materials are usually available as strip material which is further processed in a forming process (e.g. punch-bending). For storage and transport of the semi-finished wire to the customer, the material is wound onto coils. The manufacturing and coiling process introduces plastic deformations into the wire, which lead to undesirable residual stresses and wire curvature of the semi-finished product. These residual stresses and curvatures cause variations in the material properties of the semi-finished product, which have a negative impact on the subsequent product quality. Straightening machines are used to compensate the residual stresses and the curvature in the wire. At the beginning of the straightening process, the straightening machines must be set up in such a way that residual stresses and curvatures are optimally compensated. This setup process is usually a manual and iterative process, where a lot of material is wasted until the optimal settings for the straightening machine are found.In order to reduce the amount of material waste, the operator must be supported in the setup process. In this context, a new and innovative setup assistance system was developed to support the operator during the setup process. The setup assistant system automatically detects the wire curvature by means of an optical measuring system. Based on the optically detected measuring points, the wire curvature is determined by a robust calculation algorithm. Based on a database built up through the carried out experimental and numerical research work, the optimum setting parameters for the straightening machine are suggested to the operator without lengthy trial and error. After confirmation by the operator, the roller settings are automatically adjusted by the mechatronic straightening machine. With the presented method, the conventional iterative setup procedure can be made more resource-efficient and a high straightening quality can be reproducibly achieved. }},
  author       = {{Bathelt, Lukas and Bader, Fabian and Djakow, Eugen and Henke, Christian and Trächtler, Ansgar and Homberg, Werner}},
  location     = {{Braga / Portugal}},
  title        = {{{Innovative assistance system for setting up a mechatronic straightening machine}}},
  doi          = {{https://doi.org/10.4028/p-vs07w9}},
  year         = {{2022}},
}

@inproceedings{30265,
  abstract     = {{Due to increasing globalization and rising quality requirements, the steel and metal processing industry is facing growing cost and innovation pressure. Not least because of their high lightweight potential, high-strength steel materials are meeting the growing material requirements of steel and metal processing in areas such as aerospace and medical technology. In particular, the tight tolerance limits of applicable shape and dimensional accuracies pose a challenge in the processing of high-strength steel strip materials. Improving the processability of high-strength steel materials through the use of straighteners with set-up assistance systems significantly increases the potential for competing with other materials such as aluminum or magnesium alloys. }},
  author       = {{Bader, Fabian and Bathelt, Lukas and Djakow, Eugen and Henke, Christian and Homberg, Werner and Trächtler, Ansgar}},
  location     = {{Braga / Portugal}},
  title        = {{{An approach for an innovative 3d steel strip straightening machine for curvature and saber compensation}}},
  doi          = {{https://doi.org/10.4028/p-87wvu0}},
  year         = {{2022}},
}

@article{33982,
  author       = {{Koppert, Steven and Henke, Christian and Trächtler, Ansgar and Möhringer, Stefan}},
  issn         = {{2405-8963}},
  journal      = {{IFAC-PapersOnLine}},
  keywords     = {{Control and Systems Engineering}},
  number       = {{2}},
  pages        = {{554--560}},
  publisher    = {{Elsevier BV}},
  title        = {{{Tool Wear Monitoring of a Tree Log Bandsaw using a Deep Convolutional Neural Network on challenging data}}},
  doi          = {{10.1016/j.ifacol.2022.04.252}},
  volume       = {{55}},
  year         = {{2022}},
}

@article{31085,
  author       = {{Brosch, Anian and Rauhaus, Johann and Wallscheid, Oliver and Böcker, Joachim and Zimmer, Detmar}},
  issn         = {{2644-1241}},
  journal      = {{IEEE Open Journal of Industry Applications}},
  publisher    = {{Institute of Electrical and Electronics Engineers (IEEE)}},
  title        = {{{Data-Driven Adaptive Torque Oscillation Compensation for Multi-Motor Drive Systems}}},
  doi          = {{10.1109/ojia.2022.3171333}},
  year         = {{2022}},
}

@inproceedings{33978,
  author       = {{Bathelt, Lukas and Bader, Fabian and Djakow, Eugen and Henke, Christian and Trächtler, Ansgar and Homberg, Werner}},
  booktitle    = {{Fachtagung VDI MECHATRONIK 2022 }},
  location     = {{Darmstadt}},
  pages        = {{19--24}},
  title        = {{{Mechatronische Richtapparate: Intelligente Richttechnik von hochfesten Flachdrähten}}},
  year         = {{2022}},
}

@inproceedings{33469,
  author       = {{Schütz, Stefan and Schmidt, Robin and Henke, Christian and Trächtler, Ansgar}},
  booktitle    = {{2022 IEEE International Systems Conference (SysCon)}},
  location     = {{Montreal, QC, Canada}},
  pages        = {{1--8}},
  publisher    = {{IEEE}},
  title        = {{{Virtual Commissioning of the Trajectory Tracking Control of a Sensor-Guided, Kinematically Redundant Robotic Welding System on a PLC}}},
  doi          = {{10.1109/syscon53536.2022.9773878}},
  year         = {{2022}},
}

@inproceedings{33976,
  author       = {{Lenz, Cederic  and Hanke, Fabian and Henke, Christian and Trächtler, Ansgar}},
  booktitle    = {{2022 27th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA )}},
  location     = {{Stuttgart, Germany }},
  publisher    = {{IEEE}},
  title        = {{{Anomaly Detection in Hot Forming Processes using Hybrid Modeling - Part II}}},
  doi          = {{10.1109/ETFA52439.2022.9921510}},
  year         = {{2022}},
}

@inproceedings{36838,
  author       = {{Neumann, Stefan and Meschut, Gerson and Otroshi, Mortaza and Kneuper, Florian and Schulze, Andre and Tekkaya, Erman}},
  title        = {{{MECHANICALLY JOINED EXTRUSION PROFILES FOR BATTERY TRAYS}}},
  year         = {{2022}},
}

@article{27375,
  author       = {{Schulz, Andreas Markus and Wecker, Christian and Inguva, Venkatesh and Lopatin, Alexey S. and Kenig, Eugeny Y.}},
  journal      = {{Chemical Engineering Science}},
  location     = {{Muster location}},
  publisher    = {{Elsevier}},
  title        = {{{A PLIC-based method for species mass transfer at free fluid interfaces}}},
  doi          = {{10.1016/j.ces.2021.117357}},
  volume       = {{250}},
  year         = {{2022}},
}

@article{28942,
  author       = {{Wecker, Christian and Schulz, Andreas Markus and Heine, Jens and Bart, Hans Jörg and Kenig, Eugeny Y.}},
  journal      = {{International Journal of Heat and Mass Transfer}},
  publisher    = {{ELSEVIER}},
  title        = {{{Droplet formation –a numerical investigation of liquid-liquid systems with consideration of Marangoni convection}}},
  doi          = {{10.1016/j.ijheatmasstransfer.2021.122465}},
  volume       = {{188}},
  year         = {{2022}},
}

@article{44239,
  author       = {{Dai, Daokun and Kenig, Eugeny Y. and Numrich, Reiner}},
  issn         = {{0009-286X}},
  journal      = {{Chemie Ingenieur Technik}},
  keywords     = {{Industrial and Manufacturing Engineering, General Chemical Engineering, General Chemistry}},
  number       = {{6}},
  pages        = {{905--911}},
  publisher    = {{Wiley}},
  title        = {{{Experimentelle Untersuchung der Tropfenkondensation am chemisch modifizierten Edelstahl‐Drallrohr}}},
  doi          = {{10.1002/cite.202100176}},
  volume       = {{94}},
  year         = {{2022}},
}

@article{44235,
  author       = {{Inguva, Venkatesh and Kenig, Eugeny Y. and Perot, J. Blair}},
  journal      = {{Journal of Computational Physics}},
  publisher    = {{Elsevier}},
  title        = {{{A front-tracking method for two-phase flow simulation with no spurious currents}}},
  volume       = {{456}},
  year         = {{2022}},
}

@inproceedings{36339,
  abstract     = {{Al-Li-based alloys are an attractive material for aircraft and aerospace applications. Preparation of these alloys by twin-roll casting (TRC), which combines rapid metal solidification and subsequent plastic reduction in a single processing step, could improve the properties of the alloys compared to materials prepared by conventional direct-chill casting. A commonly used approach for identifying primary phases is a chemical analysis by energy dispersive spectroscopy (EDS). More accurate results can be achieved by combining the method with diffraction analysis. This process can be considerably simplified in microscopes equipped with automated crystal orientation and phase mapping (ACOM-TEM). Al-Cu-Li-Mg-Zr alloy was prepared by twin-roll casting. A combination of TEM and STEM images with chemical analysis by EDS and ACOM-TEM was used to obtain complex information about phases of boundary primary particles. The efficiency of the individual methods for the phase identification in TRC Al-Li-based alloys is discussed.}},
  author       = {{BAJTOŠOVÁ, Lucia and Grydin, Olexandr and STOLBCHENKO, Mykhailo and Schaper, Mirko and KŘIVSKÁ, Barbora and KRÁLÍK, Rostislav and ŠLAPÁKOVÁ, Michaela and CIESLAR, Miroslav}},
  booktitle    = {{METAL 2022 Conference Proeedings}},
  issn         = {{2694-9296}},
  keywords     = {{Al-Cu-Li-M-Zr-Fe alloy, twin-roll casting, phase identification, ACOM-TEM}},
  location     = {{Brno}},
  publisher    = {{TANGER Ltd.}},
  title        = {{{Phase identification in twin-roll cast Al-Li alloys}}},
  doi          = {{10.37904/metal.2022.4437}},
  year         = {{2022}},
}

