TY - JOUR
AU - Lenz, Peter
AU - Mahnken, Rolf
ID - 52218
JF - International Journal of Solids and Structures
KW - Applied Mathematics
KW - Mechanical Engineering
KW - Mechanics of Materials
KW - Condensed Matter Physics
KW - General Materials Science
KW - Modeling and Simulation
SN - 0020-7683
TI - Multiscale simulation of polymer curing of composites combined mean-field homogenisation methods at large strains
VL - 290
ER -
TY - JOUR
AB - The success of engineering complex technical systems is determined by meeting customer requirements and institutional regulations. One example relevant to the automobile industry is the United Nations Economic Commission of Europe (UN ECE), which specifies the homologation of automobile series and requires proof of traceability. The required traceability can be achieved by modeling system artifacts and their relations in a consistent, seamless model—an effect-chain model. Currently, no in-depth methodology exists to support engineers in developing certification-compliant effect-chain models. For this purpose, a new methodology for certification-compliant effect-chain modeling was developed, which includes extensions of an existing method, suitable models, and tools to support engineers in the modeling process. For evaluation purposes, applicability is proven based on the experience of more than 300 workshops at an automotive OEM and an automotive supplier. The following case example is chosen to demonstrate applicability: the development of a window lifter that has to meet the demands of UN ECE Regulations R156 and R21. Results indicate multiple benefits in supporting engineers with the certification-compliant modeling of effect chains. Three benefits are goal-oriented modeling to reduce the necessary modeling capacity, increasing model quality by applying information quality criteria, and the potential to reduce costs through automatable effect-chain analyses for technical changes. Further, companies in the automotive and other industries will benefit from increased modeling capabilities that can be used for architecture modeling and to comply with other regulations such as ASPICE or ISO 26262.
AU - Gräßler, Iris
AU - Wiechel, Dominik
AU - Koch, Anna-Sophie
AU - Sturm, Tim
AU - Markfelder, Thomas
ID - 44382
IS - 3
JF - Systems
KW - Information Systems and Management
KW - Computer Networks and Communications
KW - Modeling and Simulation
KW - Control and Systems Engineering
KW - Software
SN - 2079-8954
TI - Methodology for Certification-Compliant Effect-Chain Modeling
VL - 11
ER -
TY - CONF
AB - The development of autonomous vehicles and their introduction in urban traffic offer many opportunities for traffic improvements. In this paper, an approach for a future traffic control system for mixed autonomy traffic environments is presented. Furthermore, a simulation framework based on the city of Paderborn is introduced to enable the development and examination of such a system. This encompasses multiple elements including the road network itself, traffic lights, sensors as well as methods to analyse the topology of the network. Furthermore, a procedure for traffic demand generation and routing is presented based on statistical data of the city and traffic data obtained by measurements. The resulting model can receive and apply the generated control inputs and in turn generates simulated sensor data for the control system based on the current system state.
AU - Link, Christopher
AU - Malena, Kevin
AU - Gausemeier, Sandra
AU - Trächtler, Ansgar
ID - 44390
KW - Traffic Simulation
KW - Traffic Control
KW - Car2X
KW - Mixed Autonomy
KW - Autonomous Vehicles
KW - SUMO
KW - Sensor Simulation
KW - Traffic Demand Generation
KW - Routing
KW - Traffic Lights
KW - Graph Analysis
KW - Traffic Observer
SN - 978-989-758-652-1
T2 - Proceedings of the 9th International Conference on Vehicle Technology and Intelligent Transport Systems
TI - Simulation Environment for Traffic Control Systems Targeting Mixed Autonomy Traffic Scenarios
ER -
TY - JOUR
AU - Andreiev, Anatolii
AU - Hoyer, Kay-Peter
AU - Hengsbach, Florian
AU - Haase, Michael
AU - Tasche, Lennart
AU - Duschik, Kristina
AU - Schaper, Mirko
ID - 44078
JF - Journal of Materials Processing Technology
KW - Industrial and Manufacturing Engineering
KW - Metals and Alloys
KW - Computer Science Applications
KW - Modeling and Simulation
KW - Ceramics and Composites
SN - 0924-0136
TI - Powder bed fusion of soft-magnetic iron-based alloys with high silicon content
VL - 317
ER -
TY - JOUR
AB - The introduction of Systems Engineering is an approach for dealing with the increasing complexity of products and their associated product development. Several introduction strategies are available in the literature; nevertheless, the introduction of Systems Engineering into practice still poses a great challenge to companies. Many companies have already gained experience in the introduction of Systems Engineering. Therefore, as part of the SE4OWL research project, the need to conduct a study including expert interviews and to collect the experiences of experts was identified. A total of 78 hypotheses were identified from 13 expert interviews concerning the lessons learned. Using exclusion criteria, 52 hypotheses were validated in a subsequent quantitative survey with 112 participants. Of these 52 hypotheses, 40 could be confirmed based on the survey results. Only four hypotheses were rejected, and eight could neither be confirmed nor rejected. Through this research, guidance is provided to companies to leverage best practices for the introduction of their own Systems Engineering and to avoid the poor practices of other companies.
AU - Wilke, Daria
AU - Grothe, Robin
AU - Bretz, Lukas
AU - Anacker, Harald
AU - Dumitrescu, Roman
ID - 47800
IS - 3
JF - Systems
KW - Information Systems and Management
KW - Computer Networks and Communications
KW - Modeling and Simulation
KW - Control and Systems Engineering
KW - Software
SN - 2079-8954
TI - Lessons Learned from the Introduction of Systems Engineering
VL - 11
ER -
TY - JOUR
AB - Abstract
Sandwich packings represent new separation column internals, with a potential to intensify mass transfer. They comprise two conventional structured packings with different specific geometrical surface areas. In this work, the complex fluid dynamics in sandwich packings is modeled using a novel approach based on a one-dimensional, steady momentum balance of the liquid and gas phases. The interactions between the three present phases (gas, liquid, and solid) are considered by closures incorporated into the momentum balance. The formulation of these closures is derived from two fluid-dynamic analogies for the film and froth flow patterns. The adjustable parameters in the closures are regressed for the film flow using dry pressure drop measurements and liquid hold-up data in trickle flow conditions. For the froth flow, the tuning parameters are fitted to overall pressure drop measurements and local liquid hold-up data acquired from ultra-fast X-ray tomography (UFXCT). The model predicts liquid hold-up and pressure drop data with an average relative deviation of 16.4 % and 19 %, respectively. Compared to previous fluid dynamic models for sandwich packings, the number of adjustable parameters could be reduced while maintaining comparable accuracy.
AU - Franke, Patrick
AU - Shabanilemraski, Iman
AU - Schubert, Markus
AU - Hampel, Uwe
AU - Kenig, Eugeny Y.
ID - 48580
JF - Chemical Product and Process Modeling
KW - Modeling and Simulation
KW - General Chemical Engineering
SN - 1934-2659
TI - A new approach to model the fluid dynamics in sandwich packings
ER -
TY - JOUR
AU - Lenz, Peter
AU - Kreutzheide, Phil
AU - Mahnken, Rolf
ID - 48673
JF - Computers & Structures
KW - Computer Science Applications
KW - Mechanical Engineering
KW - General Materials Science
KW - Modeling and Simulation
KW - Civil and Structural Engineering
SN - 0045-7949
TI - Multiphase elasto-plastic mean-field homogenisation and its consistent linearisation
VL - 290
ER -
TY - GEN
AB - Iron oxide nanoparticles are very interesting for many applications in different industrial sectors. A promising
process to manufacture these nanoparticles is flame spray pyrolysis (FSP). A lack of understanding of the
individual sub-processes in FSP makes it challenging to tailor nanoparticle properties. This work provides
insights into the formation of iron oxide nanoparticles in a turbulent spray flame using Large Eddy Simulations
(LES), which are based on a comprehensive model, including customized submodels. Highlights are the
adaption of a turbulent combustion model and a bivariate hybrid method of moments for modeling nanoparticle
dynamics. The work focuses on the SpraySyn burner, which is a standardized laboratory burner and was
operated with a precursor-solvent mixture of ethanol and iron(III) nitrate nonahydrate. For studying the
relevance of precursor chemistry, LES using an evaporation-limited precursor chemistry model is compared
with a model that includes detailed iron chemistry. A further novelty is the inclusion of adsorption in the
simulation, which defines a third model for comparison. Sufficient validation is achieved for the undoped LES
using experimental data from the literature. A strong impact of the detailed iron chemistry and adsorption
is found on the precursor consumption and the aggregate and primary particle formation. Comparing the
particle diameters with experimental measurements from the literature and data generated for this work is
found unsuitable to asses the precursor chemistry model and revealed an urgent need for future experimental
and numerical research. This work serves as a step forward in realizing a reliable model.
ED - Fröde, Fabian
ED - Grenga, Temistocle
ED - Pitsch, Heinz
ED - Dupont, Sophie
ED - Kneer, Reinhold
ED - Tischendorf, Ricardo
ED - Massopo, Orlando
ED - Schmid, Hans-Joachim
ID - 51136
KW - Flame spray pyrolysis
KW - Iron oxide formation
KW - Large eddy simulation
KW - Method of moments
KW - SpraySyn
T2 - Applications in Energy and Combustion Science
TI - Large eddy simulation of iron oxide formation in a laboratory spray flame
ER -
TY - JOUR
AB - In virtual reality (VR), participants may not always have hands, bodies, eyes, or even voices—using VR helmets and two controllers, participants control an avatar through virtual worlds that do not necessarily obey familiar laws of physics; moreover, the avatar’s bodily characteristics may not neatly match our bodies in the physical world. Despite these limitations and specificities, humans get things done through collaboration and the creative use of the environment. While multiuser interactive VR is attracting greater numbers of participants, there are currently few attempts to analyze the in situ interaction systematically. This paper proposes a video-analytic detail-oriented methodological framework for studying virtual reality interaction. Using multimodal conversation analysis, the paper investigates a nonverbal, embodied, two-person interaction: two players in a survival game strive to gesturally resolve a misunderstanding regarding an in-game mechanic—however, both of their microphones are turned off for the duration of play. The players’ inability to resort to complex language to resolve this issue results in a dense sequence of back-and-forth activity involving gestures, object manipulation, gaze, and body work. Most crucially, timing and modified repetitions of previously produced actions turn out to be the key to overcome both technical and communicative challenges. The paper analyzes these action sequences, demonstrates how they generate intended outcomes, and proposes a vocabulary to speak about these types of interaction more generally. The findings demonstrate the viability of multimodal analysis of VR interaction, shed light on unique challenges of analyzing interaction in virtual reality, and generate broader methodological insights about the study of nonverbal action.
AU - Klowait, Nils
ID - 43437
JF - Human Behavior and Emerging Technologies
KW - Human-Computer Interaction
KW - General Social Sciences
KW - Social Psychology
KW - Virtual Reality : Multimodality
KW - Nonverbal Interaction
KW - Search Sequence
KW - Gesture
KW - Co-Operative Action
KW - Goodwin
KW - Ethnomethodology
SN - 2578-1863
TI - On the Multimodal Resolution of a Search Sequence in Virtual Reality
VL - 2023
ER -
TY - CONF
AB - Recent reinforcement learning approaches for continuous control in wireless mobile networks have shown impressive
results. But due to the lack of open and compatible simulators, authors typically create their own simulation environments for training and evaluation. This is cumbersome and time-consuming for authors and limits reproducibility and comparability, ultimately impeding progress in the field.
To this end, we propose mobile-env, a simple and open platform for training, evaluating, and comparing reinforcement learning and conventional approaches for continuous control in mobile wireless networks. mobile-env is lightweight and implements the common OpenAI Gym interface and additional wrappers, which allows connecting virtually any single-agent or multi-agent reinforcement learning framework to the environment. While mobile-env provides sensible default values and can be used out of the box, it also has many configuration options and is easy to extend. We therefore believe mobile-env to be a valuable platform for driving meaningful progress in autonomous coordination of
wireless mobile networks.
AU - Schneider, Stefan Balthasar
AU - Werner, Stefan
AU - Khalili, Ramin
AU - Hecker, Artur
AU - Karl, Holger
ID - 30236
KW - wireless mobile networks
KW - network management
KW - continuous control
KW - cognitive networks
KW - autonomous coordination
KW - reinforcement learning
KW - gym environment
KW - simulation
KW - open source
T2 - IEEE/IFIP Network Operations and Management Symposium (NOMS)
TI - mobile-env: An Open Platform for Reinforcement Learning in Wireless Mobile Networks
ER -