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Introduction
to Virtual Engineering
NIMIV1SANK
Course codes: IV1_EA_V, IV1_LA_01_V
Criterion course
in English
Academic year 2017/2018, fall semester
Hours
Lecture: Tuesday
16:15-17:00
Laboratory: Wednesday
17:10-17:55
Building:
Bécsi u, A., room 2.12 (BA.2.12).
Lecturer
László Horváth
professor emeritus
John
von Neumann Faculty of Informatics
Institute
of Applied Mathematics
Internet:
http://users.nik.uni-obuda.hu/lhorvath/
Requirements
For
the confirmation of course work
Attending
lectures and completing laboratory tasks.
Assignment
submitted on deadline.
Accepted
assignment.
Exam
In case of accepted assignment and 10 minutes presentation, grade may
be offered by the course leader. In case of student has not offered grad or
does not accept it, exam should be passed. List of exam topics and teaching
materials will be provided.
Assignment for course work
Student selects topic from the choice below or proposes own topic from
the area of virtual engineering including modeling, simulations, software,
hardware, and applications. When topic is accepted by the lecturer, student
elaborates assignment in free style introducing features and problems of
principles, methods, and products, and utilizing selected and cited
literature. The aim is individual learning in areas students interested
in. Topic should be accepted by the lecturer on the 4th week at the
latest. Tasks for work on the assignment and the maximum attainable
marks are as follows.
1. Choose a topic
for the assignment.
2. Collect
relevant material (10 marks)
3. Arrange
material in written document, 3-4 A4 pages. (20 marks)
4. Cite examples.
(2-3 A4 pages), (20 marks)
5. Compose conclusions
and experiences (max. 1 A4 page), (20 marks)
6. Edit
assignment then submit it in e-mail.
Deadline
of submission: 30. November, 2017.
7. Compose 10
minutes presentation from the assignment (10 marks).
8. Present important
elements of the assignment during classroom hour in the schedule of the
course (20 marks).
Some
of the possible topic areas:
1.
Description of bodies
2.
Product structure descriptions
3.
Finite element analysis
4.
Modeling of curves and surfaces
5.
Applications of virtual spaces
6.
Realistic visualization in model space
7.
Functionality of engineering systems
8.
Application of rule sets
9.
Model of human for ergonomic purposes
10. Product modeling system as software
11. Collecting shape information on physical shapes for modeling.
12. Shape modeling by hand sketch
13. Modeling of mechanism
14. Methods of rapid prototyping
15. Navigators for the construction of models
16. Group work of engineers
17. Product data management (PDM)
Materials are available for lectures on my pages.
Literature
L. Horváth and I.
J. Rudas, “Modeling and Problem Solving Methods for
Engineers “, ISBN 0-12-602250-X, Elsevier, Academic Press, 2004
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