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An Adaptronic Solution to Increase Efficiency of High-Speed Parallel Robots
Published in Norman M. Wereley, Inderjit Chopra, Darryll J. Pines, Twelfth International Conference on Adaptive Structures and Technologies, 2017
D. Sachau, E. Breitbach, M. Rose, R. Keimer
Two work packages will be described in this paper. On the one hand the design of a demonstrator including adaptive measures and on the other hand simulation and control. For the modelling, the multibody simulation programm SIMPACK [10] is used. This commercial multibody simulation code is highly developed to consider the deformations of flexible bodies in the simulation [11]. This offers potentialities to simulate flexible bodies with distributed actuators and sensors as needed for the adaptronic design process [12]. Also the kinematical and dynamical equations of motion which are necessary for enhanced control concepts shall be generated in an efficient way.
Integrating the user experience throughout the product lifecycle with real-time simulation-based digital twins
Published in Juhani Ukko, Minna Saunila, Janne Heikkinen, R. Scott Semken, Aki Mikkola, Real-time Simulation for Sustainable Production, 2021
Qasim Khadim, Lea Hannola, Ilkka Donoghue, Aki Mikkola, Esa-Pekka Kaikko, Tero Hukkataival
In short, the multibody model simulates the realistic behavior, properties, and physics of the real world in real time. The real-world counterpart, i.e., the virtual twin simulation model, can exist even before the manufacturing of the actual product in the product development and commercialization stages. Combined with sensor data from the physical space, the multibody simulation model guides users throughout the product lifecycle and enables them to evaluate, optimize, control, and predict real-world working cycles in real time.
Simulation of train–bridge interaction under wind loads: a rigid-flexible coupling approach
Published in International Journal of Rail Transportation, 2018
Xuhui He, Yongbin Gai, Teng Wu
Another efficient and high-fidelity simulation of train–bridge vibration under wind loads is to utilize the commercial software SIMPACK. SIMPACK is a Multibody Simulation software for dynamic analysis of mechanical systems. The dynamic model of the train can be conveniently established by using the special railway module, and the dynamic equations of the multibody system can be automatically generated. On the other hand, the bridge finite element could be imported into the train model for the train–bridge coupled vibration analysis, by using the rigid-flexible coupling simulation module. While several researchers have recently applied the above-mentioned modules to carry out the train–bridge coupling analysis [23], the use of SIMPACK for analysis of wind–train–bridge interaction is still very limited. Zhu [24] calculated the dynamic responses of train–line–bridge system on the urban rail under wind loads using SIMPACK, but only the wind loads on the train was taken into account. Li et al. [25] obtained the dynamic performance of the high-speed train under various aerodynamic actions by effectively coupling the SIMPACK and FLUENT. However, only train–track coupling was considered in the study, while coupling of train–bridge system was not considered.
VTT – a virtual test truck for modern simulation tasks
Published in Vehicle System Dynamics, 2021
Georg Rill, Florian Bauer, Mathias Kirchbeck
The multibody system approach has become a common tool in vehicle dynamics [4]. Commercial packages like ADAMS/Car or SIMPACK Automotive are general multibody simulation tools that offer specialised environments for modelling vehicles [5,6]. Specific simulation packages like CarSim, CarMaker, and veDYNA provide ready-to-use simulation models and a complete solution for virtual test driving [7–9]. Whereas the latter focus on vehicle handling, the former may also be used for comfort analysis given sufficient model complexity.
A survey on the modelling of air springs – secondary suspension in railway vehicles
Published in Vehicle System Dynamics, 2022
I. Mendia-Garcia, N. Gil-Negrete Laborda, A. Pradera-Mallabiabarrena, M. Berg
Finite element modelling is the most complete modelling technique. It gives the chance to recreate an accurate, accessible/customised and parametrizable model; nevertheless, the simulation cost and time are high and the coupling into a multibody simulation is not an easy and immediate task.