@inproceedings{44269,
  abstract     = {{Semi-structural adhesive joints with hyperelastic polyurethane adhesives and large adhesive layer thicknesses enable the realization of innovative hybrid lightweight designs with fiber reinforced plastic (FRP) composites. The design of these adhesively bonded joints with complex mechanical behavior requires a valid and efficient method for computational service life prediction. In this paper, a submodel-based service strength analysis method for adhesively bonded hybrid structures is presented and validated on sub component fatigue tests. The submodel strategy is generalized by periodic boundary conditions to evaluate failure relevant stresses and thus fatigue life in advance and independently from the global structure analysis.}},
  author       = {{Tittmann, Karsten  and Koch, Ilja  and Çavdar, Serkan and Gude, Maik  and Meschut, Gerson}},
  booktitle    = {{Proceedings of the 20th European Conference on Composite Materials}},
  location     = {{Lausanne}},
  pages        = {{730--739}},
  title        = {{{Service strength analysis method for adhesively bonded hybrid structures under multiaxial loading}}},
  volume       = {{2}},
  year         = {{2022}},
}

@article{32813,
  author       = {{Martin, Sven and Kurtusic, Kristijan and Tröster, Thomas}},
  journal      = {{Key Engineering Materials}},
  location     = {{Braga}},
  title        = {{{Influence of the Surrounding Sheet Geometry on a Clinched Joint}}},
  doi          = {{  https://doi.org/10.4028/p-09md1c}},
  volume       = {{927}},
  year         = {{2022}},
}

@article{30591,
  author       = {{Bertling, René and Hack, M. and Ausner, I. and Horschitz, B. and Bernemann, Sören Antonius and Kenig, Eugeny}},
  issn         = {{0009-2509}},
  journal      = {{Chemical Engineering Science}},
  keywords     = {{Applied Mathematics, Industrial and Manufacturing Engineering, General Chemical Engineering, General Chemistry}},
  publisher    = {{Elsevier BV}},
  title        = {{{Modelling film and rivulet flows on microstructured surfaces using CFD methods}}},
  doi          = {{10.1016/j.ces.2021.117414}},
  volume       = {{251}},
  year         = {{2022}},
}

@article{30382,
  author       = {{Bertling, R. and Hack, M. and Ausner, I. and Horschitz, B. and Bernemann, S. and Kenig, E.Y.}},
  issn         = {{0009-2509}},
  journal      = {{Chemical Engineering Science}},
  keywords     = {{Applied Mathematics, Industrial and Manufacturing Engineering, General Chemical Engineering, General Chemistry}},
  publisher    = {{Elsevier BV}},
  title        = {{{Modelling film and rivulet flows on microstructured surfaces using CFD methods}}},
  doi          = {{10.1016/j.ces.2021.117414}},
  volume       = {{251}},
  year         = {{2022}},
}

@article{29948,
  author       = {{Brüning, Florian and Schöppner, Volker}},
  journal      = {{Polymers 14}},
  keywords     = {{Computing Resources Provided by the Paderborn Center for Parallel Computing}},
  title        = {{{Numerical Simulation of Solids Conveying in Grooved Feed Sections of Single Screw Extruders}}},
  doi          = {{https://doi.org/10.3390/polym14020256}},
  year         = {{2022}},
}

@article{34708,
  author       = {{Schöppner, Volker and Gevers, Karina and Tornede, A. and Wever, M. and Hüllermeier, E.}},
  journal      = {{Welding in the World}},
  pages        = {{14}},
  title        = {{{A comparison of heuristic, statistical, and machine learning methods for heated tool butt welding of two different materials}}},
  year         = {{2022}},
}

@article{34739,
  author       = {{Moritzer, Elmar and Held, Christian and Hillemeyer, J.}},
  issn         = {{0043-2288}},
  journal      = {{Welding in the World}},
  title        = {{{Material-specific prediction of the optimal joinig parameters for the screw blind rivet joining process}}},
  year         = {{2022}},
}

@article{34000,
  abstract     = {{<jats:title>Abstract</jats:title>
               <jats:p>This paper presents the characterization of the microstructure evolution during flow forming of austenitic stainless steel AISI 304L. Due to plastic deformation of metastable austenitic steel, phase transformation from γ-austenite into α’-martensite occurs. This is initiated by the formation of shear bands as product of the external stresses. By means of coupled microscopic and micromagnetic investigations, a characterization of the microstructure was carried out. In particular, this study shows the distribution of the strain-induced α’-martensite and its influence on material properties like hardness at different depths. The microstructural analyses by means of electron backscattered diffraction (EBSD) technique, evidence a higher amount of α’-martensite (ca. 23 %) close to the outer specimen surface, where the plastic deformation and the direct contact with the forming tool take place. In the middle area (ca. 1.5 mm depth from the outer surface), the portion of transformed α’-martensite drops to 7 % and in the inner surface to 2 %. These results are well correlated with microhardness and micromagnetic measurements at different depths. EBSD and atomic force microscopy (AFM) were used to make a detailed characterization of the topography and degree of deformation of the shear bands. Likewise, the mechanisms of nucleation of α’-martensite were discussed. This research contributes to the development of micromagnetic sensors to monitor the evolution of properties during flow forming. This makes them more suitable for closed-loop property control, which offers possibilities for an application-oriented and more efficient production.</jats:p>}},
  author       = {{Rozo Vasquez, Julian and Kanagarajah, Hanigah and Arian, Bahman and Kersting, Lukas and Homberg, Werner and Trächtler, Ansgar and Walther, Frank}},
  issn         = {{2195-8599}},
  journal      = {{Practical Metallography}},
  keywords     = {{Metals and Alloys, Mechanics of Materials, Condensed Matter Physics, Electronic, Optical and Magnetic Materials}},
  number       = {{11}},
  pages        = {{660--675}},
  publisher    = {{Walter de Gruyter GmbH}},
  title        = {{{Coupled microscopic and micromagnetic depth-specific analysis of plastic deformation and phase transformation of metastable austenitic steel AISI 304L by flow forming}}},
  doi          = {{10.1515/pm-2022-0064}},
  volume       = {{59}},
  year         = {{2022}},
}

@article{33999,
  abstract     = {{<jats:p>The production of complex multi-functional, high-strength parts is becoming increasingly important in the industry. Especially with small batch size, the incremental flow forming processes can be advantageous. The production of parts with complex geometry and locally graded material properties currently depicts a great challenge in the flow forming process. At this point, the usage of closed-loop control for the shape and properties could be a feasible new solution. The overall aim in this project is to establish an intelligent closed-loop control system for the wall thickness as well as the α’-martensite content of AISI 304L-workpieces in a flow forming process. To reach this goal, a novel sensor concept for online measurements of the wall thickness reduction and the martensite content during forming process is proposed. It includes the setup of a modified flow forming machine and the integration of the sensor system in the machine control. Additionally, a simulation model for the flow forming process is presented which describes the forming process with regard to the plastic workpiece deformation, the induced α’-martensite fraction, and the sensor behavior. This model was used for designing a closed-loop process control of the wall thickness reduction that was subsequently realized at the real plant including online measured feedback from the sensor system.</jats:p>}},
  author       = {{Kersting, Lukas and Arian, Bahman and Vasquez, Julian Rozo and Trächtler, Ansgar and Homberg, Werner and Walther, Frank}},
  issn         = {{1662-9795}},
  journal      = {{Key Engineering Materials}},
  keywords     = {{Mechanical Engineering, Mechanics of Materials, General Materials Science}},
  pages        = {{862--874}},
  publisher    = {{Trans Tech Publications, Ltd.}},
  title        = {{{Innovative Online Measurement and Modelling Approach for Property-Controlled Flow Forming Processes}}},
  doi          = {{10.4028/p-yp2hj3}},
  volume       = {{926}},
  year         = {{2022}},
}

@inproceedings{36563,
  author       = {{Rozo Vasquez, Julian and Walther, Frank and Arian, Bahman and Homberg, Werner and Kersting, Lukas and Trächtler, Ansgar}},
  booktitle    = {{Proceedings of the 14th International Conference on Barkhausen Noise and Micromagnetic Testing}},
  location     = {{Stockholm}},
  title        = {{{Soft sensor concept for micromagnetic depth-specific analysis of phase transformation during flow forming of AISI 304L steel.}}},
  year         = {{2022}},
}

@book{36412,
  author       = {{Kersting, Lukas and Trächtler, Ansgar and Arian, Bahman and Homberg, Werner and Rozo Vasquez, Julian and Walther, Frank}},
  isbn         = {{978-3-948749-23-1 }},
  publisher    = {{Diedrich}},
  title        = {{{Echtzeitfähige Modellierung eines innovativen Drückwalzprozesses für die eigenschaftsgeregelte Herstellung gradierter Bauteile.}}},
  year         = {{2022}},
}

@article{33338,
  author       = {{Hein, Maxwell}},
  journal      = {{Crystals}},
  publisher    = {{MDPI}},
  title        = {{{Influence of Physical Vapor Deposition on High-Cycle Fatigue Performance of Additively Manufactured Ti-6Al-7Nb Alloy}}},
  doi          = {{10.3390/cryst12091190}},
  year         = {{2022}},
}

@misc{29000,
  abstract     = {{This thesis aims to provide a bidirectional chatbot solution for the requirement engineering process. The Sonderforschungsbereich (SFB) 901 intends to provide the composition of software service On-the-Fly (OTF). The sub-project (B1) of the SFB 901 project deals with the parameters of service configuration. OTF Computing aims to eradicate the dependency on the requirement engineers for the software development process. However, there is no existing bidirectional chatbot solution that analyses user software requirements and provides viable suggestions to the user regarding their service. Previously, CORDULA chatbot was developed to analyze the software requirements but cannot keep the conversation’s context. The Rasa framework is integrated with the knowledge base to solve the issue, the knowledge base provides domain-specific knowledge to the chatbot. The software description is passed through the natural language understanding process to give consciousness to the chatbot. This process involves various machine learning models, including app family classification, to correctly identify the domain for user OTF service. The statistical models like naïve Bayes, kNN and SVM are compared with transformer models for this classification task. Furthermore, the entities (functional requirements) are also separated from the user description.
The chatbot provides the suggestion of requirements from the preliminary service template with the support of the knowledge base. Furthermore, the generated response is compared with the state-of-the-art DialoGPT transformer model and ChatterBot conversational library. These models are trained over the software development related conversational dataset. All the responses are ranked using the DialoRPT model, and the BLEU score to evaluates the models’ responses. Moreover, the chatbot mod- els are tested with human participants, they used and scored the chatbot responses based on effectiveness, efficiency and satisfaction. The overall response accuracy is also measured by averaging the user approval over the generated responses.}},
  author       = {{Ahmed, Mobeen}},
  title        = {{{Knowledge Base Enhanced & User-centric Dialogue Design for OTF Computing}}},
  year         = {{2022}},
}

@article{32869,
  abstract     = {{<jats:p>The further development of in-mold-assembly (IMA) technologies for structural hybrid components is of great importance for increasing the economic efficiency and thus the application potential. This paper presents an innovative IMA process concept for the manufacturing of bending loaded hybrid components consisting of two outer metal belts and an inner core structure made of glass mat reinforced thermoplastic (GMT). In this process, the core structure, which is provided with stiffening ribs and functional elements, is formed and joined to two metal belts in one single step. For experimental validation of the concept, the development of a prototypic molding tool and the manufacturing of hybrid beams including process parameters are described. Three-point bending tests and optical measurement technologies are used to characterize the failure behavior and mechanical properties of the produced hybrid beams. It was found that the innovative IMA process enables the manufacturing of hybrid components with high energy absorption and low weight in one step. The mass-specific energy absorption is increased by 693 % compared to pure GMT beams.</jats:p>}},
  author       = {{Stallmeister, Tim and Tröster, Thomas}},
  issn         = {{1662-9795}},
  journal      = {{Key Engineering Materials}},
  keywords     = {{Mechanical Engineering, Mechanics of Materials, General Materials Science}},
  pages        = {{1457--1467}},
  publisher    = {{Trans Tech Publications, Ltd.}},
  title        = {{{In-Mold-Assembly of Hybrid Bending Structures by Compression Molding}}},
  doi          = {{10.4028/p-5fxp53}},
  volume       = {{926}},
  year         = {{2022}},
}

@inproceedings{39639,
  author       = {{Finke, Josefine and Horwath, Ilona and Matzner, Tobias and Schulz, Christian}},
  booktitle    = {{Artificial Intelligence in HCI}},
  pages        = {{149--160}},
  publisher    = {{Springer International Publishing}},
  title        = {{{(De)Coding Social Practice in the Field of XAI: Towards a Co-constructive Framework of Explanations and Understanding Between Lay Users and Algorithmic Systems}}},
  doi          = {{10.1007/978-3-031-05643-7_10}},
  year         = {{2022}},
}

@inbook{39638,
  author       = {{Horwath, Ilona}},
  booktitle    = {{Inter- und multidisziplinäre Perspektiven der Geschlechterforschung}},
  editor       = {{Schnegg, Kordula and Tschuggnall, Julia and Voithofer , Caroline and Auer , Manfred}},
  pages        = {{71--101}},
  publisher    = {{innsbruck university press}},
  title        = {{{Algorithmen, KI und soziale Diskriminierung}}},
  volume       = {{4}},
  year         = {{2022}},
}

@inbook{39637,
  author       = {{Horwath, Ilona and Kastein, Mara and Finke, Josefine}},
  booktitle    = {{Care-Arbeit und Gender in der digitalen Transformation}},
  editor       = {{Kastein, Mara and Weber, Lena}},
  pages        = {{119--134}},
  publisher    = {{Juventa Verlag}},
  title        = {{{Waschen, Warten, Wege ebnen. Ambivalente Fürsorge und der männliche Heldenmythos in der Feuerwehr}}},
  year         = {{2022}},
}

@inproceedings{33803,
  author       = {{Hanses, Hendrik and Horwath, Ilona}},
  booktitle    = {{Conference proceedings 38th Danubia Adria Symposium on Advances in Experimental Mechanics}},
  editor       = {{Kourkoulis, Stavros K.}},
  isbn         = {{978-618-86278-0-2}},
  location     = {{Poros}},
  title        = {{{OPERATIONAL AND DEMAND-ORIENTED FIREFIGHTING EQUIPMENT }}},
  year         = {{2022}},
}

@inproceedings{32871,
  author       = {{Triebus, Marcel and Ostermann, Moritz and Tröster, Thomas and Horwath, Ilona}},
  booktitle    = {{Materials in Car Body Engineering - Bad Nauheim}},
  location     = {{Bad Nauheim}},
  title        = {{{Advanced Automotive Components by Fiber-Metal-Laminates}}},
  year         = {{2022}},
}

@inproceedings{44376,
  author       = {{Tonbul, Güldeniz and Kappler, Julian  and Murugan, Saravanakumar  and Schoch, Roland  and Nowakowski, Michal  and Lange, Pia  and Bauer, Matthias and Buchmeiser, Michael R.}},
  location     = {{Edinburgh}},
  title        = {{{Development of Battery System Based on Na-S and Characterization Using X-ray Absorption Spectroscopy}}},
  year         = {{2022}},
}

