Modelling and Simulation of a Large Scale of Multilink Mechanisms using a Dynamic Pneumatic Controller

Author(s):  
M. Guihard ◽  
P. Gorce
2003 ◽  
Vol 30 (1) ◽  
pp. 18-24 ◽  
Author(s):  
F. Farhadi ◽  
M. Y. Motemed Hashemi ◽  
M. Bahrami Babaheidari

2007 ◽  
Vol 49 (6) ◽  
Author(s):  
Adelinde Uhrmacher ◽  
Arndt Rolfs ◽  
Jana Frahm

Regenerative systems are able to overcome significant perturbations, and maintain autonomously their functionality in dynamic and uncertain environments. To analyse or develop these types of systems modelling and simulation play a crucial role. However, due to the fact of being large scale and of embracing many heterogeneously acting and interacting sub-systems, they require the development of new methodologies to support a flexible modelling at different levels of organization and abstraction and an efficient execution of experiments. These methodological developments are at the core of the DFG Research Training Group dIEM oSiRiS (The Integrative Development of Modelling and Simulation Methods for Regenerative Systems). Thereby, the analysis of characteristics and requirements of regenerative systems and the evaluation of the developed concepts are based on a concrete biological regenerative system: the exploration of signalling pathways that play a significant role in the differentiation of neural cells.


Author(s):  
Harald Schlegl ◽  
Richard Dawson

Durability and reliability of anode supported solid oxide fuel cell stacks have proven unsatisfactory in large-scale trials, showing rapid failure, thermal cycling intolerance and step change in electrochemical performance most likely related to mechanical issues. Monitoring and understanding the mechanical conditions in the stack especially during temperature changes can lead to improvements of the design and of the operating regime targeting maximum durability. Within this project modelling and simulation of thermal stresses within the different parts of the cells and the stack and the validation of these models play a key role and were performed in this work. The modelling and simulation of stress and strain have been carried out using the FEA software ABAQUS™. Model variations documented the importance of exact knowledge of material properties like Young’s modulus, Poisson’s ratio, thermal expansion coefficient, thermal conductivity and creep viscosity. The benefit of literature data for these properties is limited by the fact that all these properties are highly dependent on the composition of materials but also on details of the fabrication process like mixing, fabrication technique and sintering temperature and duration. The work presented here is an investigation into the modelling techniques, which can be most efficiently applied to represent anode supported solid oxide fuel cells and demonstrates the temperature gradient and constraint on the stresses experienced in a typical design. Comparing different meshing elements representing the cell parts thin shell elements (S4R) provided the most efficiently derived solution. Tensile stress is most significant in the cathode layers reaching 155 MPa at working conditions. The stress relieving effect of creep led to a reduction of stress by up to 20% after 1000 h at 750 ℃, reducing the tensile stress in the cathode area to maximal 121 MPa. Constraint between bipolar plates increases the tensile stress, especially in the cathode layers leading to a peak value of 161 MPa.


2012 ◽  
Vol 433-440 ◽  
pp. 1447-1452
Author(s):  
Wei Huang ◽  
Xing Nan Zhang ◽  
Jian Ying Wang

The South-to-North Water Diversion Eastern Route Project of China is a complex large scale system. It is important of constructing a modelling and simulation for this type of system. This paper proposes a modelling and simulation technique for large scale water project based on Agent calculation and complex adaptive system (CAS). The simulation experiment system, about multi-Agents of water resources in East CAS management features is conducted using SWARM. We demonstrate also the interaction within all kinds of objects and the behaviour of system evolvement in the course of water resources allocation and scheduling. The simulation results show the proposed simulation model effective.


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