Program overview. 17-Jun :42. Year 2007/2008 Mechanical, Maritime and Materials Engineering Master Mechanical Engineering

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Program overview

17-Jun-2016 16:42

Year

2007/2008

Organization

Mechanical, Maritime and Materials Engineering

Education

Master Mechanical Engineering

Code

Omschrijving

ECTS

p1 p2 p3 p4 p5

Specialisation Production Engineering & Logistics (ME-TE-PEL)

Obligatory Courses ME-TE-PEL

ET3026WB Electrical Power Drives 3

IN4050TU Java and Object Oriented Design 6

WB3417-04 Discrete Systems: MPSC 5

WB3421-04 Automation and Control of Transport and Production Systems 6

WB3423-04 The Delft Systems Approach 3

WB3424-04 Production Organization Principles 2 WB3425-04 Production Engineering Practical 5

Recommended Elective Courses ME-TE-PEL

IN4013TU Expert Systems in a Technical Environment 6

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1.

Year

2007/2008

Organization

Mechanical, Maritime and Materials Engineering

Education

Master Mechanical Engineering

Specialisation Production Engineering & Logistics (ME-TE-PEL)

Responsible Program

Employee

Dr.ir. H.P.M. Veeke

Introduction 1 Prof. G. Lodewijks, tel. +31 (0)15 27 88793, e-mail [email protected] Dr H. P. M. Veeke, tel. +31 (0)15 27 82706, e-mail [email protected]

Secretary: Ms J. W. M. Spoek-Schouten, tel. +31 (0)15 27 82889, e-mail [email protected]

Production Engineering and Logistics aims to prepare future engineers to play an analytical, integrative and innovative role in new developments in the following areas.

Production and logistical techniques; mastering and piloting new techniques, including automation. Existing systems; analysing production and logistical processes and control.

The integration of processes, techniques and control, thereby perceiving the multidisciplinary character of these processes and becoming aware of the restrictions on the engineering discipline.

New organisational structures for the integration of production and transportation.

The notion of the specialist has gradually been replaced by notions of process, integration and a systems-based view of supply chains. The use of these new ideas in industry and service has created the need for a course based on a methodology which offers a coherent and integrated approach to technology, organisation and information. An executive engineer has to master all the different aspects of productivity: knowledge of tools, machinery, equipment, information, operations and control systems, perception of human resources and the ability to contribute to and evaluate new industrial situations.

Production Engineering and Logistics prepares students for operations management line and staff positions in industry and engineering consultancy. Much emphasis is placed on modelling as an aid to analysing operational problems and to finding acceptable solutions. The final assignment addresses a real problem in a company or organisation.

Applied studies concern the automation and intelligent control of supply, production and distribution networks. Another rapidly developing area for projects and assignments is predictive modelling with simulation of industrial processes.

The complexity of production organisations has increased tremendously in recent decades due to changing customer demands, increased automation possibilities, the real-time availability of information and rigid environmental conditions. The challenge for the engineer is to find solutions combining all these possibilities and restrictions. The design of a production organisation is considered to be a multidisciplinary project.

The combination of organisation and logistics offers a unique opportunity to study the complete value-adding chain in industry, composed of transformation and transportation processes. Students broaden their technological knowledge by always including organisational and informational aspects within the human business environment. They also learn the restrictions on their knowledge and recognise the need for economic, sociological and/or psychological contributions.

The programme uses a variety of teaching methods to achieve these objectives.

Wide-ranging lectures on technology, approaches to industrial systems, information systems, operations research, simulation and business economics.

A seminar to study, discuss and evaluate real-life cases with fellow students under the expert guidance of staff members. Laboratory work to gain experience with real-life systems and traineeships in industry.

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Year

2007/2008

Organization

Mechanical, Maritime and Materials Engineering

Education

Master Mechanical Engineering

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ET3026WB

Electrical Power Drives

3

Responsible Instructor Prof.dr.ir. P. Bauer

Assistent K.J. Weijermans Contact Hours / Week

x/x/x/x

0/0/3/0

Education Period 3

Exam Period 3

4

Course Language Dutch (on request English)

Required for Elektromechanical systems (ET4242WB)

Expected prior knowledge Project Mechatronika wbtp209

Course Contents Electrical system,generators,elektrical machines,induction motors, synchronous motors and generators, power converters, power supplies

Study Goals The student can:

Understand mechanical system requirements for Electric Drive

Understand and apply passive network elements (R, L, C), laws of Kirchhof, Lorentz, Faraday Understand and apply: phasors for simple R,L,C circuits

Understand and apply real and reactive power, rms, active and reactive current, cos phi

Describe direct current (DC), (single phase) alternating current (AC) and (three phase) alternating current systems, star-delta connection

Understand the principle of switch mode power electronic converters, pole as a two quadrant and four quadrant converter Understand principles of magnetic circuits, inductances and transformers

Understand principles of electromechanical energy conversion and DC motor drives Understand and apply the space vectors by analysis of:

· Induction machines (asynchronous electric motors) · Synchronous machines (as motor and generator)

The characteristics of importance are: torque/speed relation, efficiency, reactive power, voltage control, frequency control, starting current/power, methods to control starting current

Understand principles and explain main characteristics of the following electronic conversion: · DC/DC converters (choppers)

· DC/AC converters (inverters) · AC/DC converters (rectifiers) · AC/AC converters

The characteristics of importance are: input/output characteristics, control inputs, voltage/frequency control; cos phi Understand, explain and specify electric drive systems, with the use of the components mentioned

Education Method Lectures (3 hours/week), test (1 hour/week)

Literature and Study Materials

Syllabus.

Electric Drives, An Integrated Approach. Ned Mohan. Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, Minnesota, USA.MNPERE, Minneapolis, USA. ISBN 0-9663530-1-3

Assessment Written exam

Remarks Every week a test will be given. By satisfactory result it will serve as a bonus for the examination

IN4050TU

Java and Object Oriented Design

6

Responsible Instructor Dr. P.G. Kluit Course Language English

Course Contents Introduction to Java and Object-Oriented programming. Using the API library classes. Designing classes. Object-Oriented Design using UML. Aspects of Software Engineering. Advanced aspects of Java: Graphical User Interfaces, Event Handling, Exceptions, Threads, Sockets, Streams.

Study Goals The student is able to solve programming problems using an Object-oriented language, more specific Java. The student is able to design, specify and implement programs, using existing libraries.

Education Method Lecture and lab work

Assessment The course is completed with two assignments:

After completion of the lab work, a larger assignment completes the course. This assignment is to be completed in a team of 4 /5 students. This assignments includes both design and implementaton of software.

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WB3417-04

Discrete Systems: MPSC

5

Responsible Instructor Dr.ir. J.A. Ottjes

Responsible Instructor Dr.ir. H.P.M. Veeke Instructor Ir. F.P.M. Sopers Instructor Ir. M.B. Duinkerken Contact Hours / Week

x/x/x/x

2/2/0/0

Education Period 1 2

Exam Period none

Course Language English

Summary Modelling, discrete simulation, process-interaction method, logistics, production, transport, control, practical

Course Contents This is a course on the modeling of discrete systems for transport and production. It deals with a method to quickly design flexible prototype models and to implement them in a simulation environment. The method is based on the systems approach in combination with process-interaction modeling. Special attention is paid to the modeling of controls and the use of these models for real-time control. A number of practical examples, including a production process, a transport system and a port will be considered.

During the course a number of individual assignments will be given to be answered via blackboard. Halfway the course, groups of 4 students are formed. Each group has to design(on paper) a process-interaction model of a realistic case including the model goal, performance indicators, input, output and an experimental design resulting in a short report.

Those who have attained a satisfactory result for both the individual work and the group model design will be admitted to the second part of the course. This takes the form of a practical. The model developed in the first part has to be implemented and applied in a simulation environment based on Delphi and Tomas (see http://www.delphibasics.co.uk/ and www.tomasweb.com. The results: process-interaction model design, implementation, experiments and final report will be graded.

Study Goals Student is able to

a)Apply the Process-Interaction method on any discrete logistic system More specifically, the student is able to:

1.decompose the system into relevant classes of elements, patterned on the real-world elements of the system 2.distinguish the relevant properties of the element classes

3.distinguish the active element classes and provide their process description And to

b)design and implement a simulation model of a simple logistic system in Delphi/Tomas More specifically, the student must be able to:

1.formulate the goal of the simulation project

2.distinguish the relevant parameters and performance indicators 3.define the input required

4.set up an experimental plan

5.transfer the process-interaction model into Delphi/Tomas code 6.carry out the experimental plan

7.interpret and report results

Education Method 9 Lectures (2 hours per week), individual assignments, group assignment

Computer Use Use of discrete simulation software: Tomas based on Delphi.

Lecture materials, hand outs, example models, recent publications on the subject area and the Web sites: www.tomasweb.com and www.delphibasics.co.uk

A text book is in preparation

Assessment Practical (in groups): Design, implemention and application of a simulation model resulting in a final report.

Special Information

Remarks During the practical each group will have a coach assigned.

Adequate coaching can only be assured if all members of the group have attended most of the lectures.

A basic knowledge of the programming language "Delphi" is required for the practical. Though some attention is paid to that language during the course, it still is recommended to get acquainted with Delphi in an early stage of the course.

a useful web site is: www.delphibasics.co.uk

Percentage of Design 50%

Design Content The modeling of a system has a major design component

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WB3421-04

Automation and Control of Transport and Production Systems

6

Responsible Instructor Dr.ir. H.P.M. Veeke

Responsible Instructor Prof.dr.ir. G. Lodewijks Instructor Prof.ir. J.C. Rijsenbrij Contact Hours / Week

x/x/x/x

0/0/2/2

Exam Period Different, to be announced

Course Contents This course focuses on the automation and control of modern transport and production systems. Automation is often necessary to increase the capacity or to reduce operating costs of industrial systems on one hand while maintaining a sufficient level of operational accuracy on the other hand. Automation requires full control of an industrial system and its equipment and a throughout understanding of the transport/manufacturing process and the dynamics of the equipment involved. In this course the automation of a number of typical systems will be studied and the dificulties and opportunities of new technologies. Basis of this course is a study of the dynamics of the operational process and the equipment. In an automated system data communication is important to ensure reliable performance. In this respect equipment and process monitoring is important as well. Therefore data acquisition, mining, analysis and transfer will be discussed in detail. The course is concluded by a practical assignment where the control of equipment used in an automated system will be studied.

Study Goals (1) To categorise industrial systems and identify properties that determine their performance; (2) to describe mathematically the transport process and the behaviour of equipment; (3) to determine the requirements to automate an industrial system in terms of control algorithms and equipment involved; (4) to experience the difference between automation in concept and automation in practice.

Education Method Lectures (2 hours per week), practical assignment

Computer Use Uses of data acquisition equipment and database software

Course material: Lecture book

References from literature: To be determined

Assessment Oral exam

Remarks Access to the oral examination only after completion of the practical assignment.

Design Content Not applicable

Department 3mE Department Maritime & Transport Technology

WB3423-04

The Delft Systems Approach

3

Responsible Instructor Dr.ir. H.P.M. Veeke Contact Hours / Week

x/x/x/x

2/0/0/0

Exam Period 1

Course Contents Complete modeling of industrial systems includes both function models for static structures and time-dependent behaviour models.

A fundamental approach leads to the proper model, the steady state model and the control paradigm. For multi-aspect modelling the PROPER model will be explained and applied to the field of logistics and organization.

Modelling of the design process itself with a clear distinction between interdisciplinary function design and monodisciplinary process design.

Study Goals The course aims to learn the students the basics of the Delft Systems Approach for Industrial Organizations (DSA). Therefore the student should learn to:

- Structure complex industrial systems into the conceptual models: Steady State Model, Innovation Model, Proper Model - Describe all types of activities in terms of functions

- Recognize both the operational and the control functionality - Differentiate between operational and innovation management. - Use the models for analysis and design of industrial systems

Education Method Lectures (2 hours per week)

Course material:

Book: Analyse van organisatieproblemen, J. in t Veld (most important chapters will be available in English) Lecture notes A Systems Approach for Industrial System Design , Veeke

References from literature: To be determined

Design Content Understanding the design process itself and the transition of using conceptual models to concrete process models.

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WB3424-04

Production Organization Principles

2

Responsible Instructor Dr.ir. H.P.M. Veeke

Instructor Ir. F.P.M. Sopers Contact Hours / Week

x/x/x/x

0/2/0/0

Exam Period 2

Course Contents This course focuses on production organisation structures. Between the extreme structures of flow shop and job shop there is a continuum of other structures.

Characteristics and practical selection criteria for each specific structure are explained. The relation between notions like effectiveness, productivity and flexibility are studied.

Control principles are highlighted by the distinction between function control (e.g. planning) and process control (e.g.

scheduling, feed back, feed forward). The use of simulation in control functions is explained. Finally decision support for project planning is explained by classical approaches like CPM and PERT, but also by new approaches using simulation.

Study Goals The course aims to learn the students to:

- Explain the characteristics of all different production organization structures - Explain the technological implications of an organization structure

- Explain the connections between organization structure and production control - Explain the connections between organization structure and decision support systems. - Differentiate between different types of information

- Express performance in terms of productivity and flexibility

Education Method Lectures (2 hours per week)

Course material:

Lecture notes + reader (see blackboard) Recommended:

- Ray Wild, "Operations Management", Continuum, London, ISBN 0 8264 4927 1

- M.Groover,"Automation, Production Systems, and Computer-Integrated Manufacturing,Prentice Hall, ISBN 0 13 088978 4 (also needed for WB3421)

Design Content Not applicable

Department 3mE Department Maritime & Transport Technology

WB3425-04

Production Engineering Practical

5

Responsible Instructor Dr.ir. H.P.M. Veeke Instructor Ir. F.P.M. Sopers Contact Hours / Week

x/x/x/x

0/0/2/2

Course Language Dutch (on request English)

Required for Production Engineering and Logistics

Expected prior knowledge systems approach and participating in masterclass "Delft Systems Approach for Industrial Organization"

Course Contents Design of real industrial system

Study Goals The production Engineering practical aims to learn the PEL-students to: - Participate and cooperate in a complex design project

- experience multidisciplinary decision making

- split complex problems in smaller domain-specific problems - contribute to the result by means of a specific specialization - prove the technological and logistical feasibility

- present ideas and results completely but short

Education Method Practical with project teams

design methodology

Assessment plenary presentation + final report

Enrolment / Application PEL master students only

Design Content (Re)design of a real industrial system based on global management requirements and a formulated policy

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Year

2007/2008

Organization

Mechanical, Maritime and Materials Engineering

Education

Master Mechanical Engineering

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IN4013TU

Expert Systems in a Technical Environment

6

Responsible Instructor Dr. L.J.M. Rothkrantz

Contact Hours / Week x/x/x/x

2/2/0/0 Pract.

Course Contents Survey of types of expert systems, including underlying

principles and architectures. Design and implementation issues are elucidated for expert systems in technical environments. Introduction to Fuzzy systems and probabilisticmodels as bayesian belief networks.

In the second part of the course the combined technology of expert systems, numerical computing and neural networks is treated. In the practical, an assignment is to build an expert system with CLIPS.

Study Goals After sucessfull completion of the course:

-students have a historal overview of knowledge based systems -students are able to design different types of expertsystems

-students are able to use different expert system shells such as CLIPS and GENIE

-students are able to extract knowledge from experts, or information systems, data bases and to rewrite this knoledge in if-then rules

-students have an understanding of Bayesian networks and are able to design and implement such a system.

Education Method Lectures, lab work

Lecture notes

Assessment Weekly assignments (written exam on request)

Remarks 40 hrs of lab work.

WM0605TU

Business Economics for Engineers

4

Module Manager Dr. G. van der Velde Contact Hours / Week

x/x/x/x 2/0/0/0 Education Period 1 Start Education 1 Exam Period 1 3

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Prof.dr.ir. P. Bauer

Ir. M.B. Duinkerken

Dr. P.G. Kluit

Prof.dr.ir. G. Lodewijks

Dr.ir. J.A. Ottjes

Prof.ir. J.C. Rijsenbrij

Dr. L.J.M. Rothkrantz

Ir. F.P.M. Sopers

Dr.ir. H.P.M. Veeke

Unit Elektrotechn., Wisk. & Inform.

Department DC systems, Energy con & Stor

Telephone +31 15 27 84654

Room LB 03.600

Unit Mech, Maritime & Materials Eng

Department Transport Eng & Logistics

Telephone +31 15 27 81790

Room B-3-320

Department Software Engineering

Room

-Unit Mech, Maritime & Materials Eng

Telephone +31 15 27 88793

Room B34-B-3-300

Telephone +31 (0)15 27 84318

Room 8B-1-09-K

Room B-1-320

Telephone +31 15 27 83418

Room B-4-180

Room B34-B-1-240

Department Interactive Intelligence

Telephone +31 15 27 87504

Room HB 12.230

Telephone +31 (0)15 27 85292

Room B-2-320

Telephone +31 15 27 82706

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