Course detail

Mechanical Design Project

FSI-ZIPAcad. year: 2019/2020

Course builds on subjects Parametric modeling – Pro/Engineer, Finite element method - ANSYS Workbench, Diagnostics systems and courses from previous semester. For those areas, 8 projects in total are announced, according to actual research projects or industrial cooperation. Students are divided into groups of 3 to 5 members. Each team solves two projects. Themes contain challenging structural tasks. To be able to successfully solve these problems, students have to apply gained knowledge, methods and procedures. Each topic is headed by supervisor, who ensures professional leadership; checks process; analyzes faults; and consults the possible solutions. Synthetic thinking is emphasised, as well as ability to formulate own conclusions. Project output is physical implementation and experimental verification of the proposed design. At the end of the course, it is necessary to defend the project.
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Selected themes of projects: </br>
Film thickness mapping in hydrodynamic bearing.
The design of microphone array for acoustic power measurement.
The design of device for studying impact-loaded contacts.
Proposal and implementation of facial 3D scanner.
Cost and design optimization of chassis tester ModularTest ST 100.
The design of guiding mechanism for human body 3D digitization.
The design of experimental design for friction analysis in artificial hip joint.
The design of harmonic oscillations mechanical exciter.
</br>This course was supported under the FabLabNet project from the European Regional Development Fund within the programme "Interreg Central Europe". The course uses facilities of the open-access student workshop "StrojLab", built with the support of Institute of Machine and Industrial Design and the FabLabNet project.

Language of instruction

Czech

Number of ECTS credits

5

Mode of study

Not applicable.

Learning outcomes of the course unit

Students will gain deeper knowledge of CAD tools, advanced tools of engineering analyses using FEM. They also get experiences in non-destructive methods for machine diagnostics. Furthermore, they acquire ability to design new solutions in a given technical field. After passing the course, students will be able to effectively solve technical problems in given areas; to perform critical analysis of proposed solutions and to design optimized solution with their own contribution.

Prerequisites

Knowledge in area of finite element method (ANSYS Workbench), diagnostics systems, parametric modeling (Creo), project management and experience with teamwork.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

Theoretical basis for solution of the problems are included in courses taught in previous semester. Furthermore, it is assumed application of knowledge from block courses, taught at the beginning of the current semester. Course is therefore taught only through seminars in computer labs and laboratories, where students independently solve their projects under the supervision. Important part of the seminars are the consultations with projects supervisors (deeper explanation of the particular theory, methods of solution, etc.). Emphasis is placed on the selection of efficient methods and development of new solutions with overlap in the technical field. There are two checkpoints during the semester for more extensive check through presentations of current state of solution. All students and supervisors participate at these checkpoints.

Assesment methods and criteria linked to learning outcomes

Course-unit credit is awarded on the following conditions: regular attendance at classes, submission of two fully developed projects in digital and printed form.
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

Not applicable.

Work placements

Not applicable.

Aims

Course objective is to realize design tasks using knowledge from the area of parametric modeling, finite element method and technical diagnostics. Emphasis is placed on their own contribution to the solution.

Specification of controlled education, way of implementation and compensation for absences

Attendance at practicals and laboratory practicals is obligatory and checked by the lecturer. Maximum of two excused absences without compensation are allowed. In case of longer absence, compensation of missed lessons depends on the instructions of course supervisor. Absence at checkpoints or submission of incomplete project leads to denial of credits.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Not applicable.

Recommended reading

Not applicable.

eLearning

Classification of course in study plans

  • Programme M2I-P Master's

    branch M-KSI , 1. year of study, summer semester, compulsory

Type of course unit

 

Laboratory exercise

27 hours, compulsory

Teacher / Lecturer

Syllabus

Laboratory practicals will be realized according to project objectives.
Following laboratories will be used:
1. Student workshop.
2. Laboratory of tribology.
3. Laboratory of technical diagnostics.
4. Manufacturing workshop of the institute.

Computer-assisted exercise

108 hours, compulsory

Teacher / Lecturer

Syllabus

1. Presentation of project topics, division of competences, map of the project, Gantt diagram
2. Problem analysis, literature review.
3. Proposal and analysis of alternative solutions.
4. Checkpoint with presentation of achieved results.
5. Project costs calculation.
6. Drawing documentation.
7. Checkpoint with presentation of achieved results.
8. Implementation of the selected solution.
9. Experimental verification.

eLearning