Course detail

3D Optical Digitization and Inspection of Machine Parts

FSI-ZRI-AAcad. year: 2017/2018

Students will be introduced to the theoretical part of the course with the basic principles and technologies of optical digitizing and their application in practice. They will be also familiar with digitization using optical system ATOS and TriTop functionality. In practical exercises, students will have the opportunity to experience 3D scanning of machine components and the subsequent adjustment of digital data. Within computer-aided exercises students will prepare semestral project focused on the application of gained knowledge in the field of digitization, editing polygonal data and reconstruction of surfaces.
The course has been upgraded with the support of the OPVK project. Project "The Studio of digital sculpture and new media", reg. No. CZ.1.07/2.2.00/28.0278, is co-financed by the European Social Fund and the statebudget of the Czech Republic.

Language of instruction

English

Number of ECTS credits

Mode of study

Not applicable.

Guarantor

doc. Ing. David Paloušek, Ph.D.

Department

Institute of Machine and Industrial Design (ÚK)

Offered to foreign students

Of all faculties

Learning outcomes of the course unit

Students will be able to effectively apply the methods of optical digitizing in solving multidisciplinary problems during solution of semester projects, theses and later in practice during development of new products.

Prerequisites

Knowledge in area of CAD systems (CATIA, Creo Parametric, Rhinoceros, Inventor) and finite element method (Ansys).

Co-requisites

Not applicable.

Planned learning activities and teaching methods

The course is taught through lectures explaining the basic principles and theory of the discipline. Exercises are focused on practical topics presented in lectures. Teaching is suplemented by practical laboratory work.

Assesment methods and criteria linked to learning outcomes

Course-unit credit is awarded on the following conditions: elaboration of semester project, submitting data and the poster in digital form.
Examination: will be granted after successful completion of the test focused on gained theoretical knowledge.

Course curriculum

Not applicable.

Work placements

Not applicable.

Aims

The aim of the course is to provide students with specific theoretical and practical knowledge in the field of 3D optical digitization and their appropriate use in technical practice.

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

Attendance at lectures is recommended; attendance at practicals and laboratory practicals is obligatory and checked by the lecturer. Compensation of missed lessons depends on the instructions of course supervisor.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Not applicable.

Recommended reading

Not applicable.

Classification of course in study plans

  • Programme M2I-P Master's

    branch M-KSI , 2 year of study, winter semester, compulsory

Type of course unit

 

Lecture

10 hod., optionally

Teacher / Lecturer

Ing. Tomáš Koutecký, Ph.D.
Ing. Aneta Zatočilová, Ph.D.
doc. Ing. David Paloušek, Ph.D.

Syllabus

1. Instroduction to 3D digitization – plan of the semester, fundamental terms, introduction to the issue
2. 3D digitization – overview of technologies, AFP, laser scanners, contact scanners, full body scanners, facial scanners
3. Principles of triangulation
4. Processing of point clouds - polygonization
5. Calibration of the optical system – intrinsics and extrinsics parameters, DLT, bundle adjustment
6. Photogrammetry – reference points coding, transformation of the points in 3D
7. Post-processing of polygonal data
8. Automation of measurement
9. 3D digitization micro CT – industrial computed tomography

Computer-assisted exercise

16 hod., compulsory

Teacher / Lecturer

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

Syllabus

GOM Inspect
• GUI, Importing of files, Polygonization
• Mesh editing
• Simple inspection
• Inspection sections
• Different Alignment methods
• Tolerances and RPS alignment
• 3-2-1 alignment and primitives
• Drawing based inspection for 2D sections
• GD&T
Matlab
• Image processing, work with histogram
• Calibration of the camera
• Detection of the object, measurements in the image
• Polygonization
Project
• Semestral project elaboration
• Scanned data processing
• Photogrammetry data processing
• Design of the model by reverse engineering tools