For Libraries For Publication Open Access Downloads About Us Contact Us
Paper Titles
The Improved Design for Automated Teller Machine Based on the Theory of User Requirements
p.41
Numerical Simulation of Spray Process of Fuel Nozzle
p.47
Preparation of High Performance Aluminum Foam Using Carbon Fibers as Stabilizing Additive
p.53
Study on a Large Opening in a Pressure Vessel
p.58
Multi-Domain and Hybrid Behavioral Modeling for Complex Product Systems
p.62
Research on the Face Finder and Behavior Decoding Technology in Synchronous Modeling
p.67
A Design Method Based on Healthy Industrial Design (HID)
p.72
Knowledge Acquisition from Simulation Data to Product Configuration Rules
p.77
Study on CAD Modeling Based on Feature Extraction
p.83

Multi-Domain and Hybrid Behavioral Modeling for Complex Product Systems

Article Preview

Abstract:

The model of complex product systems involves mechanical, electrical, hydraulic, control, thermal and even aerodynamic domain. It also simultaneously includes discrete state behavior and continuous dynamic behavior. In order to support the development of complex product systems, in the paper, a behavioral modeling methodology considering multi-domain and hybrid behaviors is presented. The individual behavioral models are firstly developed and then the behavioral model of the system is composed by connecting the individual behavioral models. Some simple syntax and semantics is provided for supporting the construction of the behavioral models. In order to analyze performance of the systems, the behavioral model should be transformed to unified multi-domain model which is formulated in Modelica language. The mapping specifications including model declaration, hybrid behavioral modeling and model interface are presented.

You might also be interested in these eBooks
Advanced Design Technology, ADME 2011 View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 308-310)

Pages:

62-66

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.308-310.62

Citation:

Cite this paper

Online since:

August 2011

Authors:

Yu Ming Zhu, Ji Hong Liu

Keywords:

Behavioral Modeling, Hybrid Behaviors, Modelica, Multi-Domain

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

© 2011 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

References

[1] S. E. Mattsson , H. Elmqvist , and M. Otter: Control Engineering Practice, Vol.6(1998), p.501

Google Scholar

[2] T. Michael: Introduction to Physical Modeling with Modelica, (Kluwer Academic Publisher, USA 2001).

Google Scholar

[3] F. Felgner, R. Merz, and L. Litz: Mathematical and Computer Modeling of Dynamical Systems, Vol.12 (2006), p.35

Google Scholar

[4] W. Borutzky: Simulation Modeling Practice and Theory, Vol. 7 (1999), p.439

Google Scholar

[5] W. Borutzky: Simulation Modeling Practice and Theory, Vol. 17 (2009), p.3

Google Scholar

[6] S. Behzadipour, , and A. Khajepour: Simulation Modeling Practice and Theory, Vol.14 (2006), p.279

Google Scholar

[7] C. Schmitke, , and J. McPhee: Advanced Engineering Information, Vol. 22 (2008), p.147

Google Scholar

[8] Y. Umeda, , and T. Tomiyama: IEEE Expert, Vol.12 (1997), p.42

Google Scholar

[9] H. Mili: Journal of Systems and Software, Vol. 34 (1996), p.105

Google Scholar

[10] Y. M. Deng: Artificial Intelligence for Engineering Design, Analysis and Manufacturing, Vol. 16 (2002), p.343

Google Scholar

[11] Y. M. Deng, and D. Zhang: International Journal of Advanced Manufacturing Technology, Vol. 29 (2004), p.1105

Google Scholar

© 2025 Trans Tech Publications Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For open access content, terms of the Creative Commons licensing CC-BY are applied.
Scientific.Net is a registered trademark of Trans Tech Publications Ltd.