Course detail

3D Metrology and Inspection

FSI-ZRIAcad. year: 2022/2023

The course provides information in the field of industrial metrology with a focus on 3D metrological systems, standardization and measurement errors, digital data processing, inspection of machine parts and reverse engineering in mechanical engineering. Practical and theoretical knowledge in the field of modern metrology increases the interdisciplinary focus of the structural engineer.

Language of instruction

Czech

Number of ECTS credits

4

Mode of study

Not applicable.

Guarantor

Ing. Tomáš Koutecký, Ph.D.

Department

Institute of Machine and Industrial Design (ÚK)

Learning outcomes of the course unit

- Knowledge of the context of metrology, inspection and standardization.
- Knowledge of technologies and principles of measurement used in modern industrial metrology.
- Ability to inspect machine parts based on drawing documentation.
- Ability to process, evaluate and otherwise use digital data from metrological measurements.

Prerequisites

- knowledge of CAD modeling, FEM, mathematics, physics and design methodology at the bachelor's degree level.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

Lectures, seminars, labs, project learning, self-study.

Assesment methods and criteria linked to learning outcomes

Credit conditions:
- test of knowledge in the field of inspection of machine parts (max. 30 points),
- submission of a report from the team semester task (max. 30 points),
- processing of a task in Matlab (max. 10 points),
- final theoretical test (max. 30 points),
- a total of up to 100 points can be obtained, the final classification will be determined according to the ECTS scale.

Course curriculum

Not applicable.

Work placements

Not applicable.

Aims

Graduates will be able to apply theoretical and practical knowledge in the field of industrial 3D metrology and inspection of machine parts in practice.

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

Attendance at lectures is recommended; attendance at practicals and is obligatory and checked by the lecturer. A maximum of 2 excused absences are tolerated without the need for compensation. In case of long-term absence, compensation for the missed classes is in the responsibility of the lecturer.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Karl Kraus, Photo grammetry,Geometry from Images and Laser Scans, Second Edition, ISBN 978-3-11-019007-6.
Vinesh Raja and Kiran J. Fernandes (Eds.). Reverse Engineering, An Industrial Perspective. ISBN 978-1-84628-855-5 e-ISBN 978-1-84628-856-2.

Recommended reading

Wohlers, Terry T. Prototyping & Tooling State of the Industry 98 Worldwide Progress Report, 204stran, Wohlers Associates, Inc.,1998

Elearning

eLearning: currently opened course

Classification of course in study plans

  • Programme N-KSI-P Master's 2 year of study, winter semester, compulsory

  • Programme LLE Lifelong learning

    branch CZV , 1 year of study, winter semester, compulsory

Type of course unit

 

Lecture

16 hod., optionally

Teacher / Lecturer

doc. Ing. Tomáš Zikmund, Ph.D.
Ing. Aneta Zatočilová, Ph.D.
Ing. Tomáš Koutecký, Ph.D.
Ing. Jakub Hurník, Ph.D.

Syllabus

- Introduction to metrology and inspection of machine parts.
- Standards in the field of 3D measurement, measurement errors and uncertainties.
- Digital photography and its use in metrology.
- 3D metrology and principles of obtaining the third dimension.
- 3D digital data and their use in mechanical engineering.
- Optical scanning systems.
- Passive photogrammetric measurement systems.
- Coordinate measurement machines. (CMMs).
- Computed tomography in mechanical engineering.

Laboratory exercise

16 hod., compulsory

Teacher / Lecturer

Ing. Tomáš Koutecký, Ph.D.
Ing. Jakub Franke
Ing. Aneta Zatočilová, Ph.D.

Syllabus

- Photogrammetry measurement of deformations within the semestral task,
- 3D scanning within the semestral task.

Computer-assisted exercise

16 hod., optionally

Teacher / Lecturer

Ing. Jakub Hurník, Ph.D.
Ing. Tomáš Koutecký, Ph.D.
Ing. Jakub Franke

Syllabus

- Digital image information processing, camera calibration and machine vision.
- Pre-processing and processing of 3D digital data.
- Inspection of the part according to the drawing documentation (data alignment, deviations of surfaces and sections, dimensions, dimensional tolerances, geometric tolerances, measurement report creation).
- Measurement and evaluation of deformations using digital photogrammetry.
- Creation of a CAD model according to the reverse engineering approach.

Elearning

eLearning: currently opened course