@article{WeberArentMuenchetal.2016,
  author    = {Weber, Tobias and Arent, Jan-Christoph and M{\"u}nch, Lukas and Duhovic, Miro and Balvers, Johannes M.},
  title     = {A fast method for the generation of boundary conditions for thermal autoclave simulation},
  series = {Composites Part A},
  volume    = {88},
  journal   = {Composites Part A},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {1359-835X},
  doi       = {10.1016/j.compositesa.2016.05.036},
  pages     = {216 -- 225},
  year      = {2016},
  abstract  = {Manufacturing process simulation enables the evaluation and improvement of autoclave mold concepts early in the design phase. To achieve a high part quality at low cycle times, the thermal behavior of the autoclave mold can be investigated by means of simulations. Most challenging for such a simulation is the generation of necessary boundary conditions. Heat-up and temperature distribution in an autoclave mold are governed by flow phenomena, tooling material and shape, position within the autoclave, and the chosen autoclave cycle. This paper identifies and summarizes the most important factors influencing mold heat-up and how they can be introduced into a thermal simulation. Thermal measurements are used to quantify the impact of the various parameters. Finally, the gained knowledge is applied to develop a semi-empirical approach for boundary condition estimation that enables a simple and fast thermal simulation of the autoclave curing process with reasonably high accuracy for tooling optimization.},
  language  = {en}
}
@inproceedings{HailerWeberArent2019,
  author    = {Hailer, Benjamin and Weber, Tobias and Arent, Jan-Christoph},
  title     = {Manufacturing Process Simulation for Autoclave-Produced Sandwich Structures},
  series = {Proceedings of SAMPE Europe Conference 2019, Nantes, France},
  booktitle = {Proceedings of SAMPE Europe Conference 2019, Nantes, France},
  pages     = {1 -- 8},
  year      = {2019},
  language  = {en}
}
@inproceedings{WeberEnglhardHaileretal.2019,
  author    = {Weber, Tobias and Englhard, Markus and Hailer, Benjamin and Arent, Jan-Christoph},
  title     = {Manufacturing Process Simulation for the Prediction of Tool-Part-Interaction and Ply Wrinkling},
  series = {Proceedings of SAMPE Europe Conference 2019, Nantes, France},
  booktitle = {Proceedings of SAMPE Europe Conference 2019, Nantes, France},
  pages     = {1 -- 10},
  year      = {2019},
  language  = {en}
}
@inproceedings{WeberEnglhardHaileretal.2015,
  author    = {Weber, Tobias and Englhard, Markus and Hailer, Benjamin and Arent, Jan-Christoph},
  title     = {Manufacturing Process Simulation for the Prediction of Tool-Part-Interaction and Ply Wrinkling},
  series = {Proceedings of SAMPE Europe Conference, Amiens , France},
  booktitle = {Proceedings of SAMPE Europe Conference, Amiens , France},
  pages     = {1 -- 10},
  year      = {2015},
  language  = {en}
}
@inproceedings{Weber2015,
  author    = {Weber, Tobias},
  title     = {Manufacturing Process Simulation for Tooling Optimization: Reduction of Quality Issues During Autoclave Manufacturing of Composite Parts},
  series = {Proceedings of SAMPE Europe Conference 2015, Amiens, France},
  booktitle = {Proceedings of SAMPE Europe Conference 2015, Amiens, France},
  pages     = {1 -- 8},
  year      = {2015},
  language  = {en}
}
@inproceedings{OttenSchmidWeber2015,
  author    = {Otten, D. and Schmid, M. and Weber, Tobias},
  title     = {Advances In Sheet Metal-Forming: Reduction Of Tooling Cost By Methodical Optimization},
  series = {Proceedings of SAMPE Europe Conference, Amiens , France},
  booktitle = {Proceedings of SAMPE Europe Conference, Amiens , France},
  year      = {2015},
  language  = {en}
}
@article{HoevelerBauknechtWolfetal.2020,
  author    = {Hoeveler, B. and Bauknecht, Andr{\´e} and Wolf, C. Christian and Janser, Frank},
  title     = {Wind-Tunnel Study of a Wing-Embedded Lifting Fan Remaining Open in Cruise Flight},
  series = {Journal of Aircraft},
  volume    = {57},
  journal   = {Journal of Aircraft},
  number    = {4},
  publisher = {AIAA},
  address   = {Reston, Va.},
  issn      = {1533-3868},
  doi       = {10.2514/1.C035422},
  year      = {2020},
  abstract  = {It is investigated whether a nonrotating lifting fan remaining uncovered during cruise flight, as opposed to being covered by a shutter system, can be realized with limited additional drag and loss of lift during cruise flight. A wind-tunnel study of a wing-embedded lifting fan has been conducted at the Side Wind Test Facility G{\"o}ttingen of DLR, German Aerospace Center in G{\"o}ttingen using force, pressure, and stereoscopic particle image velocimetry techniques. The study showed that a step on the lower side of the wing in front of the lifting fan duct increases the lift-to-drag ratio of the whole model by up to 25\% for all positive angles of attack. Different sizes and inclinations of the step had limited influence on the surface pressure distribution. The data indicate that these parameters can be optimized to maximize the lift-to-drag ratio. A doubling of the curvature radius of the lifting fan duct inlet lip on the upper side of the wing affected the lift-to-drag ratio by less than 1\%. The lifting fan duct inlet curvature can therefore be optimized to maximize the vertical fan thrust of the rotating lifting fan during hovering without affecting the cruise flight performance with a nonrotating fan.},
  language  = {en}
}
@article{KhayyamJamaliBabHadiasharetal.2020,
  author    = {Khayyam, Hamid and Jamali, Ali and Bab-Hadiashar, Alireza and Esch, Thomas and Ramakrishna, Seeram and Jalili, Mahdi and Naebe, Minoo},
  title     = {A Novel Hybrid Machine Learning Algorithm for Limited and Big Data Modeling with Application in Industry 4.0},
  series = {IEEE Access},
  volume    = {8},
  journal   = {IEEE Access},
  number    = {Art. 9108222},
  publisher = {IEEE},
  address   = {New York, NY},
  issn      = {2169-3536},
  doi       = {10.1109/ACCESS.2020.2999898},
  pages     = {111381 -- 111393},
  year      = {2020},
  abstract  = {To meet the challenges of manufacturing smart products, the manufacturing plants have been radically changed to become smart factories underpinned by industry 4.0 technologies. The transformation is assisted by employment of machine learning techniques that can deal with modeling both big or limited data. This manuscript reviews these concepts and present a case study that demonstrates the use of a novel intelligent hybrid algorithms for Industry 4.0 applications with limited data. In particular, an intelligent algorithm is proposed for robust data modeling of nonlinear systems based on input-output data. In our approach, a novel hybrid data-driven combining the Group-Method of Data-Handling and Singular-Value Decomposition is adapted to find an offline deterministic model combined with Pareto multi-objective optimization to overcome the overfitting issue. An Unscented-Kalman-Filter is also incorporated to update the coefficient of the deterministic model and increase its robustness against data uncertainties. The effectiveness of the proposed method is examined on a set of real industrial measurements.},
  language  = {en}
}
@article{MaurischatPerkins2020,
  author    = {Maurischat, Andreas and Perkins, Rudolph},
  title     = {Taylor coefficients of Anderson generating functions and Drinfeld torsion extensions},
  number    = {Vol. 18, No. 01},
  publisher = {World Scientific},
  address   = {Singapur},
  doi       = {10.1142/S1793042122500099},
  pages     = {113 -- 130},
  year      = {2020},
  abstract  = {We generalize our work on Carlitz prime power torsion extension to torsion extensions of Drinfeld modules of arbitrary rank. As in the Carlitz case, we give a description of these extensions in terms of evaluations of Anderson generating functions and their hyperderivatives at roots of unity. We also give a direct proof that the image of the Galois representation attached to the p-adic Tate module lies in the p-adic points of the motivic Galois group. This is a generalization of the corresponding result of Chang and Papanikolas for the t-adic case.},
  language  = {en}
}
@inproceedings{KronigerHorikawaFunkeetal.2021,
  author    = {Kroniger, Daniel and Horikawa, Atsushi and Funke, Harald and Pf{\"a}ffle, Franziska},
  title     = {Numerical investigation of micromix hydrogen flames at different combustor pressure levels},
  series = {The Proceedings of the International Conference on Power Engineering (ICOPE)},
  booktitle = {The Proceedings of the International Conference on Power Engineering (ICOPE)},
  doi       = {10.1299/jsmeicope.2021.15.2021-0237},
  pages     = {4 Seiten},
  year      = {2021},
  abstract  = {This study investigates the influence of pressure on the temperature distribution of the micromix (MMX) hydrogen flame and the NOx emissions. A steady computational fluid dynamic (CFD) analysis is performed by simulating a reactive flow with a detailed chemical reaction model. The numerical analysis is validated based on experimental investigations. A quantitative correlation is parametrized based on the numerical results. We find, that the flame initiation point shifts with increasing pressure from anchoring behind a downstream located bluff body towards anchoring upstream at the hydrogen jet. The numerical NOx emissions trend regarding to a variation of pressure is in good agreement with the experimental results. The pressure has an impact on both, the residence time within the maximum temperature region and on the peak temperature itself. In conclusion, the numerical model proved to be adequate for future prototype design exploration studies targeting on improving the operating range.},
  language  = {en}
}