Course detail
Team Project
FSI-ZKPAcad. year: 2015/2016
The course directly follows Parametric modeling – Inventor, Catia, Rhinoceros, Tribology, Finite element methods - ANSYS Classic, Measurement and Experiment. For each previous course a 4 project topics are presented, thus 16 projects altogether. Project topics are aimed to selected basic problems from these branches. An emphasis is put to the balance between design and analytical topics. Students divide themselves into teams of 3 to 5 members. Every team chooses one topic from each branch. Therefore, one team is managing four projects through the semester. Each project topic is supervised by the guarantor who ensures technical leading of the project through regular consultation sessions and provides additional theory background and materials. He also checks course of actions, explains mistakes to the students and show clues to successful solution. Defense of the project solution in front of expert committee takes place in the end of the course.
Examples of selected problem situations - project assignments:
Tribology:
Measurement of friction in the hydrodynamic bearing using Thurston experiment. Realization of experiment with crossed cylinders according to Kirk.
Creation of belt brake model for verification of the Euler equation for internal friction.
Visualization of contact stress according to the Hertz’s theory.
Finite elements method:
Design of bridge from skewers and its assessment by FEM.
Stress/strain analysis of the compression spring.
Thermal analysis of the plastic window frame using FEM.
Stress/strain analysis of the bolted joint.
Parametric modeling:
Laser 3D scanner.
Design of the 3D printer extruder.
Head for the movie camera.
Lift for correction of the optical measurement system center position.
Measurement and Experiment:
Tempering circuit of the rheometer.
Assessment of the vehicle suspension quality.
Noise source localization on heavy duty vacuum cleaner.
Design of the low-pressure piston rheometer.
Language of instruction
Number of ECTS credits
Mode of study
Guarantor
Learning outcomes of the course unit
Prerequisites
Co-requisites
Planned learning activities and teaching methods
Assesment methods and criteria linked to learning outcomes
In the digital format shall be delivered:
1. CAD data (for construction projects).
2. Technical report or final report.
3. Drawings (if required by assignment).
4. Poster in PPTX format and PDF format for printing.
5. Presentation in PPTX format.
In paper form will be delivered:
1. Technical or final report,
2. Drawings
Examination: exam will be awarded on the basis of presentation and successful defense. Final mark is the average of marks awarded by evaluators during defense of the project.
Course curriculum
Work placements
Aims
Specification of controlled education, way of implementation and compensation for absences
Recommended optional programme components
Prerequisites and corequisites
Basic literature
ULLMAN, David G. The mechanical design process: a project-based introduction. 3rd ed. Boston, Mass.: McGraw-Hill, c2003, 256 s. ISBN 00-711-2281-8.
Recommended reading
Classification of course in study plans
Type of course unit
Lecture
Teacher / Lecturer
Ing. Houssam Mahmoud, Ph.D.
Ing. Ondřej Koukal
Ing. Matúš Ranuša, Ph.D.
Ing. Ondřej Macháček, Ph.D.
doc. Ing. David Paloušek, Ph.D.
doc. Ing. Daniel Koutný, Ph.D.
Ing. Josef Frýza, Ph.D.
doc. Ing. Michal Kubík, Ph.D.
Ing. Radek Vrána, Ph.D.
prof. Ing. Martin Vrbka, Ph.D.
Ing. Filip Urban
Syllabus
• Introduction of projects and tasks in four technical branches – tribology, diagnostics, engineering design, FEM analysis.
• Bibliographic research of the scientific and technical problems.
• Information databases, full-text databases, libraries, knowledge databases.
• Time schedule of the semester, specification of the project checkpoints dates.
• Project management, teamwork, leading of the project.
• Data-sharing tools, collaboration on design data files.
• Processing of the output data, technical specifications, technical report, technical drawings.
Computer-assisted exercise
Teacher / Lecturer
doc. Ing. David Nečas, Ph.D.
Ing. Ondřej Macháček, Ph.D.
doc. Ing. Daniel Koutný, Ph.D.
Ing. Filip Urban
doc. Ing. David Paloušek, Ph.D.
Ing. Josef Frýza, Ph.D.
Ing. Matúš Ranuša, Ph.D.
Ing. Radek Vrána, Ph.D.
doc. Ing. Michal Kubík, Ph.D.
Ing. Ondřej Koukal
Ing. Houssam Mahmoud, Ph.D.
Syllabus
2. Specification of the possible solutions.
3. Analysis of the possible solutions, selection of the solution.
4. First checkpoint with presentation of the achieved results.
5. Realization of the physical/analytical model.
6. Realization of the physical/analytical model.
7. Second checkpoint with presentation of the achieved results.
8. Verification of the physical/analytical model.
9. Processing of the results and report.