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General meta-model based co-simulations applied to mechanical systems
Linköping University, Department of Computer and Information Science, PELAB - Programming Environment Laboratory. Linköping University, The Institute of Technology.
SKF Engineering & Research Centre.
SKF Engineering & Research Centre.
2009 (English)In: SIMULATION MODELLING PRACTICE AND THEORY, ISSN 1569-190X , Vol. 17, no 4, 612-624 p.Article in journal (Refereed) Published
Abstract [en]

A fully functional meta-model co-simulation environment that supports integration of many different simulation tool specific models into a co-simulation is described in this paper.

The continuously increasing performance of modern computer systems has a large influence on simulation technologies. It results in more and more detailed simulation models. Different simulation models typically focus on different parts (sub-systems) of the complete system, e.g., the gearbox of a car, the driveline, or even a single bearing inside the gearbox. To fully understand the complete system it is necessary to investigate several or all parts simultaneously. This is especially true for transient (dynamic) simulation models with several interconnected parts. One solution for a more complete and accurate system analysis is to couple different simulation models into one coherent simulation, also called a co-simulation. This also allows existing simulation models to be reused and preserves the investment in these models.

Existing co-simulation applications are often capable of interconnecting two specific simulators where a unique interface between these tools is defined. However, a more general solution is needed to make co-simulation modelling applicable for a wider range of tools. Any such solution must also be numerically stable and easy to use in order to be functional for a larger group of people.

The presented approach for mechanical system co-simulations is based upon a general framework for co-simulation and meta-modelling [9]. Several tool specific simulation models can be integrated and connected by means of a meta-model. A platform independent, centralised, meta-model simulator is presented that executes and monitors the co-simulation. All simulation tools that participate in the co-simulation implement a single, well defined, external interface that is based on a numerically stable method for force/moment interaction.

Place, publisher, year, edition, pages
2009. Vol. 17, no 4, 612-624 p.
Keyword [en]
Co-simulation, Meta-modelling, Multibody simulation, Mechanical system simulation, Transmission-line modelling, TLM, Dynamic simulation, Transient simulation
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-18135DOI: 10.1016/j.simpat.2008.10.006OAI: oai:DiVA.org:liu-18135DiVA: diva2:216426
Available from: 2009-05-08 Created: 2009-05-08 Last updated: 2010-10-11
In thesis
1. Contributions to Modelling and Visualisation of Multibody Systems Simulations with Detailed Contact Analysis
Open this publication in new window or tab >>Contributions to Modelling and Visualisation of Multibody Systems Simulations with Detailed Contact Analysis
2010 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The steadily increasing performance of modern computer systems is having a large influence on simulation technologies. It enables increasingly detailed simulations of larger and more comprehensive simulation models. Increasingly large amounts of numerical data are produced by these simulations.

This thesis presents several contributions in the field of mechanical system simulation and visualisation. The work described in the thesis is of practical relevance and results have been tested and implemented in tools that are used daily in the industry i.e., the BEAST (BEAring Simulation Tool) tool box. BEAST is a multibody system (MBS) simulation software with special focus on detailed contact calculations. Our work is primarily focusing on these types of systems.

focusing on these types of systems. Research in the field of simulation modelling typically focuses on one or several specific topics around the modelling and simulation work process. The work presented here is novel in the sense that it provides a complete analysis and tool chain for the whole work process for simulation modelling and analysis of multibody systems with detailed contact models. The focus is on detecting and dealing with possible problems and bottlenecks in the work process, with respect to multibody systems with detailed contact models.

The following primary research questions have been formulated:

  • How to utilise object-oriented techniques for modelling of multibody systems with special reference tocontact modelling?
  • How to integrate visualisation with the modelling and simulation process of multibody systems withdetailed contacts.
  • How to reuse and combine existing simulation models to simulate large mechanical systems consistingof several sub-systems by means of co-simulation modelling?

Unique in this work is the focus on detailed contact models. Most modelling approaches for multibody systems focus on modelling of bodies and boundary conditions of such bodies, e.g., springs, dampers, and possibly simple contacts. Here an object oriented modelling approach for multibody simulation and modelling is presented that, in comparison to common approaches, puts emphasis on integrated contact modelling and visualisation. The visualisation techniques are commonly used to verify the system model visually and to analyse simulation results. Data visualisation covers a broad spectrum within research and development. The focus is often on detailed solutions covering a fraction of the whole visualisation process. The novel visualisation aspect of the work presented here is that it presents techniques covering the entire visualisation process integrated with modeling and simulation. This includes a novel data structure for efficient storage and visualisation of multidimensional transient surface related data from detailed contact calculations.

Different mechanical system simulation models typically focus on different parts (sub-systems) of a system. To fully understand a complete mechanical system it is often necessary to investigate several or all parts simultaneously. One solution for a more complete system analysis is to couple different simulation models into one coherent simulation. Part of this work is concerned with such co-simulation modelling. Co-simulation modelling typically focuses on data handling, connection modelling, and numerical stability. This work puts all emphasis on ease of use, i.e., making mechanical system co-simulation modelling applicable for a larger group of people. A novel meta-model based approach for mechanical system co-simulation modelling is presented. The meta-modelling process has been defined and tools and techniques been created to fully support the complete process. A component integrator and modelling environment are presented that support automated interface detection, interface alignment with automated three-dimensional coordinate translations, and three dimensional visual co-simulation modelling. The integrated simulator is based on a general framework for mechanical system co-simulations that guarantees numerical stability.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2010. 16 p.
Series
Linköping Studies in Science and Technology. Dissertations, ISSN 0345-7524 ; 1337
National Category
Engineering and Technology
Identifiers
urn:nbn:se:liu:diva-60303 (URN)978-91-7393-317-9 (ISBN)
Public defence
2010-10-29, Planck, Fysikhuset, Campus Valla, Linköpings universitet, Linköping, 10:14 (Swedish)
Opponent
Supervisors
Available from: 2010-10-11 Created: 2010-10-11 Last updated: 2014-10-08Bibliographically approved

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