MR8400

Modelling and Analysis of Machinery Systems 1

Last taught 2013

Spring

English

Overview

3 candidates

Average grade

B

4.00

same

Pass rate

100%

same

Grade distribution
Average over time
Pass rate over time

About this course

Content

This course adresses advanced modelling of machinery systems and discusses the development of state space models using the bond graph methodology. The following main topics are discussed:
- Multiport generalisation of basic bond graph elements
- Modeling of thermofluid systems with examples from hydraulic systems, boilers, engines, compressors, gas turbines and heat exchangers.
- Modeling of distributed parameter systems with examples from structural and hydraulic systems
- Modeling of electrical components and systems
Modeling and simulation laboratory.

Learning outcomes

Having successfully completed this course the student should have:

Knowledge:
- knowledge in the forfront within a selection of topics in the academic field of mathematical modeling of physical systems using energy-based modeling methods and to be able to develop advanced models within both established areas and to aproach new areas.
- have a deep understanding of the background for energy-based modeling methods.
- have a thorough knowledge to the background of the Bond Graph method and the use of this method to formulate advanced methods in mechanical-, hydraulic-, electrical- and thermofluid systems.
- know how to apply the Bond Graph method for development of distributed systems
- be familiar with the state of the art of models developed using the Bond Graph method for analysis of machinery systems in general.

Skills:
- be able to apply energy based modeling methods and the Bond Graph method espcially to development of mathematical methods for simulaton and analysis of dynamic systems.
- be able to evaluate properties of software tools relative to modeling support and also for simulation and analysis of results.
- be able to apply a selection of software tools for efficient development, implementation, debugging and analysis if mathematical models.
- be able to critically collect and master new knowledge available from litterature studies and scientific articles within the area.
- be able to carry out peer review withing the area of research.

General competence:
- having established a mature and reflective view of the value of and the use of mathematical modeling as a tool for problem solving and system analysis.
- be able to critically evaluate the knowledge which can be found from scientific articles and to assess the state of the art within the area.

Teaching methods

Lectures, exercises, computerlab and projects.