Modeling and design

Subject code: NMXMT1SMNE

Course codes:

Lecture: MT1_EA_MS_ROB_ENG

Laboratory: MT1_LA_01_ROB_ENG

Academic year: 2019/2020, spring semester

 

Actual information

Course will be continued in distance education form from 25. March 2020. Course requirements were modified for the changed form of course. Please attend the Moodle system to access information about the course and the actual requirements. Course requirements are also summarized below except for the detailed weekly program of the course which can be accessed only on the Moodle.

Classes

Building: Bécsi u, 96/A.

Room: BA 2.12

Time:

Lecture: Wednesday: 13:30-15:10.

Laboratory: Wednesday: 15:20-17:00

Course leader, lecturer, and laboratory leader

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

Doctoral School of Applied Informatics and Applied Mathematics

(If you are thinking about being PhD student in our doctoral school please contact me.)

John von Neumann Faculty of Informatics,

Institute of Applied Mathematics

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

Course work in distance form

Assessment is done by evaluation of submitted assignment, presentation about assignment, and weekly reports. In this way, course work consists of assignment (max. 68 marks attainable) and weekly reports (max 32 marks attainable). Teaching material is available for each topic at Moodle system of Óbuda University and on the home page of course leader.

Assignment

Tasks in the assignment and maximum attainable marks at each task are as follows. Study, understand and utilize case studies of real modeling processes as included in laboratory part of each teaching material.

1) Elaboration concept of model system which includes the objects to be represented and their parameter connections (10 marks) followed by plan of model definition including object parameter level contextual connections (20 marks). Arbitrary objects can be chosen in accordance with the model specification below. Deadline: 15. April 2020.

2) Introduction of model system definition in the form of arbitrary formatted diagram which includes features, their parameters and contextual connections (28 marks).

3) Presentation (max. 5 slides) about development of model and experiences gained (10 marks)

4) Send final version of assignment to the course leader in e-mail. Deadline: 6. May 2020.

Model system specification

a) Object structure which is represented in the model system consists of three solid bodies connected by placing at relevant degrees of freedom (DOF). Apply feature engineering connection at the connection of solid body representations. Each solid body includes five volumetric form features of different type. Each solid must be built along contextual chains of feature parameters in accordance with tasks 1 and 2. Each solid include spatial surface-based feature. This feature is defined in the context of two curves and generated outside of the solid but in its context with the solid. Each solid model must include global driving parameter, constraint, and simple formula.

b) Finite element model (FEM) on one of the solid representations for two different performance parameters. Consider the V5 modeling platform for this task. Use case studies in the relevant teaching material.

Weekly reports

Report to assess the result of studying actual topic using teaching material provided for the actual week (See table above) and individually searched readings on the Internet includes explanation of three relevant concepts from the lecture part of the relevant teaching material and elaboration of three relevant objects by their parameters and contextual connections from the laboratory part of the same teaching material. (8 weeks x 2x2=4 marks each week, 32 marks altogether).

Distant assistance for course work

Horváth, L.: Modeling and Design. Lecture presentations and laboratory task. Óbuda University, NIK, 2020. Download for each topic from the Moodle system of Óbuda University or from the home pages of course leader. Case studies in these teaching materials includes explanations for lectures and case studies (examples) to elaborate the assignment and weekly reports. Skype chats can be organized when students and course leader can agree the time. When it will necessary short videos can be included for further explanation.