Coursecode: wb2311
Coursename: Introduction Modelling

DUT creditpoints: 2
ECTS creditpoints: 3

Faculty of Mechanical Engineering and Marine Technology

Lecturer(s): Bosgra, prof.ir. O.H., Vergouwen, ir. F.J., Kramer, dr.ir. H.J.M.,Korving, ir. A.

Tel.: 015-2785603

Catalog data:
Physical modelling of dynamic systems. Basic notions of modelling. Methodology, goals, purpose of the model. System boundaries, subsystems, conservation laws. Causality, time scales. Macroscopic versus microscopic models. Non-linear model behaviour. Spatially distributed models, formulated in terms of partial differential equations. Model approximation and reduction, based on time scales and time moments. Bilaterally coupled physical subsystems. Examples from the field of process technology.

Courseyear: 3, 4
Semester: 4/0/0/0
Hours p/w: 4
Other hours: -
Assessment: Oral
Assessm.period(s): by app.
(see academic calendar)

Prerequisites: Basic knowledge of physics, thermodynamics and fluid mechanics.

Follow up: wb2400

Detailed description of topics:
Physical modelling of dynamic systems. Basic principles of process modelling. Formal steps in a modelling procedure, decision structure. Methodology, goals, purpose and validation of the model. System boundaries, subsystems, conservation laws. Causality, time scales. Macroscopic versus microscopic models. Linearity, linearization, characterization of non-linear model behaviour. Differential-algebraic model equations, explicit versus implicit simulation solutions. Time scale characterization, modal approximation, time scale separation, singularly perturbed models. Model approximation based on time moments, Pade approximation. Compartmental models, bilaterally coupled physical subsystems. Spatially distributed models, described in space and time. Causality, boundary conditions.

• O.H. Bosgra, Modelling of Dynamic Process systems

• Course notes for wb2405 Preliminary version, 120 pages, TU Delft/WbMT 1994Revised version du January 1996

• [1] ISBN: [0-13-221242-0], Friedly,J.C., Dynamic behavior of processes, Prentice Hall, Inc., Englewood Cliffs, NJ, 1972.

• [2] ISBN: [3-540-50082-0], Kecman,V., State-Space Models of Lumped and Distributed Systems., Lect.Notes Control Inf.Sci. vol 112., Springer Verlag, Berlin, 1988.

• [3] ISBN: [0-471-27535-2], Franks,R.G.E., Modeling and Simulation in Chemical Engineering, John Wiley & Sons, Inc., New York, NY, 1972.,

• [4] Himmelblau,D.M. Bischoff,K.B., Process Analysis and Simulation. Deterministic Systems, John Wiley & Sons, Inc., New York, NY, 1968.

• [5] ISBN: [3-527-28577-6], Ingham,J. Dunn,I.J. Heinzle,E., Chemical Engineering Dynamics. Modelling with PC Simulation, VCH Verlagsgesellschaft, Weinheim, W.Germany, 1994.

Remarks (specific information about assesment, entry requirements, etc.):

Goals:
The goal of the course is to provide an introduction to the basic steps of physical system modelling, model simplification and model simulation. The course discusses many example problems from the area of process dynamics, chemical processes, and dynamic mechanical systems.

Computer use:
The computer will be a key instrument in all steps of model formulation, model simulation and model approximation. The modelling and simulation exercise is an individual exercise where the student has to formulate a dynamic model on the basis of a description of the system in the form of a paper or article from the literature. Subsequently, a simulation using Simulink (or similar) is required to investigate and assess the dynamic properties and behaviour of the plant or system under study, as relevant for its operation.

Laboratory project(s):

Design content:
The goal of the course is modeling as part of a process of control system design activity.

Percentage of design: 0%