System Level Modeling for Cyber-Physical Engineering Structures in the Cloud

Subject code: NMVKFSEMNE

Course code: KFS_EA_ENG, KFS_LA_ENG

Academic year: 2019/2020, fall semester

 

Actual information

Thank you for joining to my course!

Class

Building: Bécsi u, 96/A. (BA), room: 2.12

Lecture: Monday: 12:35-13:20

Laboratory: Monday: 13:30-14:15

Lecturer, course leader

László Horváth professor emeritus: horvath.laszlo@nik.uni-obuda.hu

John von Neumann Faculty of Informatics

Institute of Applied Mathematics

Internet: http://users.nik.uni-obuda.hu/lhorvath/

Course requirements

Participation at lectures and suitable work during laboratories.

Accepted assignment with sufficient grade at the minimum.

Presentation about model developed for assignment.

See the relevant course requirements document at the John von Neumann Faculty of Informatics.

Conditions and course work

Participation at lectures and laboratories is mandatory and at the same time inevitable for successful assignment. Models which are elaborated individually during thematic laboratory hours must be accessible in the V6 PLM system of the laboratory. During classroom work for assignment model student applies knowledge learned during previous classes. Course inherently requires the high level and highly reliable laboratory system which is available at the laboratory. At the same time, possibly technical difficulties cannot be a disadvantage in assessment of student's work.

Assignment

The purpose of assignment is to achieve a minimum skill in definition of advanced engineering model system. Student selects object structures to be represented, elaborates plan of model then applies this plan at the elaboration of models as individual work for the assignment. Model must include mandatory features as listed below. Tasks included in the work for the assignment and the maximum attainable marks for each task are as follows:

1. Select object structures for solids (10 marks).

2. Elaborate plan of model definition which includes objects, parameters, behaviors, and contexts (30 marks).

Result of tasks 1 and 2 should be submitted as free formatted PDF document in e-mail to course leader. Deadline is 15 November 2019.

3. Preparing models and propagating them in the V6 PLM model base in accordance with the instructions announced during the course. The model must be defined using result of Task 2. Model must be contextually active. (40 marks)

4. Presentation using active model in the V6 PLM system at the laboratory. 10 minutes are available for each student. (20 marks)

The model must be accessible in the V6 system of the laboratory for evaluation by the lecturer. Scheduled class hours will be available for the preparation of assignment model. The deadline for tasks 3 and 4 will be announced during the course.

Mandatory features of the model system for the assignment

A model system is to be elaborated which consists of three connected functional solid body representations. Each solid body must include five different types of functional features at the minimum. For this purpose, solid functional set should be defined. Shellable, protected, internal, external, added, and core functional behaviors must be represented in models. One of the solids must include surface representation as feature consisting of three different surface types while each is controlled by two curves.

Assistance for course work

Teaching materials are available on the Internet pages of the lecturer: http://users.nik.uni-obuda.hu/lhorvath/hl7okte.htm#SLM.

World leading industrial modeling platform (Dassults Systémes V6 PLM) is available for lectures and laboratories at teacher and student workstations in the Laboratory of Intelligent Engineering Systems.

Consultations during laboratory classes. Additional consultation on demand.

Note

This is the first course planned in the 3DEXPERIENCE platform from the cloud system of the laboratory. Availability of the necessary workstation hardware is delayed. This is why laboratory and assignment work are relocated to the V6 PLM system where all the necessary modeling capabilities are available. Teaching and learning activities will use the cloud system where it is necessary for the course program.