Course detail

Rapid Prototyping and 3D Digitization

FSI-YRPAcad. year: 2020/2021

During the course, students learn the methods of acquisition and processing of accurate 3D data that can serve as a basis for reverse engineering or one of the steps in the design process. The course includes accurate methods of optical digitizing typical functional parts as well as the scanning procedures with manual 3D scanner for ideological drafts. The course continues with teaching of methods of scanned data post-processing in order to give students sufficiently broad overview of important for future practice. After a general introduction to 3D printing technology (FDM, FFF, 3DP etc.), students will learn how to prepare data for 3D printing and carry out the 3D printing job.

Language of instruction

Czech

Number of ECTS credits

3

Mode of study

Not applicable.

Guarantor

doc. Ing. David Paloušek, Ph.D.

Department

Institute of Machine and Industrial Design (ÚK)

Learning outcomes of the course unit

Students will be able to design and prepare parts for additive manufacturing, process the scanned data of 3D objects and transform it into surface models useable for further design work. Students will utilize gained experience during preparation of diploma thesis, in further doctoral program or in practice for development of new products. Knowledge of additive technologies and optical digitization will expand the skills required for the design and implementation of pre-production models.

Prerequisites

Knowledge in area of CAD systems, particularly Rhinoceros 3D.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

Lessons are focused on practical software tools and technologies. The course is taught through exercises focused on practical problems of measurement and data processing in order to prepare and implement a print job to the 3D printer. Practically-oriented exercises also allow students to get feedback from the physical realization of projects.

Assesment methods and criteria linked to learning outcomes

Course-unit credit is awarded on the following conditions: active participation in the seminars, submission of given tasks or project and 3D data in digital form. In total it will be possible to acquire 100 points. Resulting classification will be defined by the ECTS scale. If some of the projects are awarded less than half of the maximum pts., final evaluation of the course is "failed". According to the article No. 13 of Study and Examination Rules of Brno University of Technology ECTS evaluation degree scale is used. . If some of the projects are awarded less than 50 pts., final evaluation of the course is "failed". The course is evaluated with the following grades: ECTS EVALUATION DEGREES / PTS. RATING / NUMERIC RATING: A / 100 - 90 / 1 / Excellent; B /89 - 80 / 1,5 / Very good; C / 79 - 70 / 2 / Good; D / 69 - 60 / Satisfactory; E / 59 - 50 / Sufficient; F / 49 - 0 / 4 / Failed.

Course curriculum

Not applicable.

Work placements

Not applicable.

Aims

The aim of the course is to acquaint students with the methods of algorithmic modeling, technology of optical 3D scanning and additive technologies to provide a sufficient understanding, important for the development of the creative potential of an industrial designer.

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

Attendance at seminars is obligatory and checked by the teacher. Compensation of missed lessons depends on the instructions of course supervisor. Students have to be present in scheduled hours in the computer lab and work on projects and wait for consultation. The absences are possible only due similar reasons as by work law, e.g. Illness. Unexcused absence may cause denial of credit.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

GIBSON, I., D. W. ROSEN a B. STUCKER. Additive manufacturing technologies: rapid prototyping to direct digital manufacturing. New York: Springer, c2010. ISBN 1441911200. (EN)
NABONI, Roberto a Ingrid PAOLETTI. Advanced Machinery. In: Advanced Customization in Architectural Design and Construction. Cham: Springer International Publishing, 2015, 2015-12-5, s. 29-75. SpringerBriefs in Applied Sciences and Technology. DOI: 10.1007/978-3-319-04423-1_3. ISBN 978-3-319-04422-4. Dostupné také z: http://link.springer.com/10.1007/978-3-319-04423-1_3
TEDESCHI, Arturo. AAD_Algorithms-aided design: parametric strategies using grasshopper. Brienza, Italy: Le Penseur Publisher, 2014. ISBN 978-88-95315-30-0. (EN)

Recommended reading

DRUMM, Brook, James F. (James Floyd) KELLY, Brian ROE, et al. Make: 3D printing projects. San Francisco: Maker Media, 2015, xvii, 263 stran : barevné fotografie. ISBN 978-1-4571-8724-7. (EN)
FRANCE, Anna Kaziunas. Make: 3D printing. Sebastopol: Maker Media, 2013, xv, 213 s. : barev. il. ISBN 978-1-4571-8293-8. (EN)
KLOSKI, Liza Wallach a Nick KLOSKI. Začínáme s 3D tiskem. Brno: Computer Press, 2017, 211 stran : ilustrace. ISBN 978-80-251-4876-1. (CS)
Toru Yoshizawa . Handbook of Optical Metrology: Principles and Applications, Second Edition. 919 pages. CRC Press; 2 edition (April 9, 2015). ISBN-10: 1466573597 (EN)

Elearning

eLearning: currently opened course

Classification of course in study plans

  • Programme B3A-P Bachelor's

    branch B-PDS , 3 year of study, summer semester, compulsory

Type of course unit

 

Computer-assisted exercise

26 hod., compulsory

Teacher / Lecturer

Ing. David Škaroupka, Ph.D.
Ing. Martin Krčma, Ph.D.

Syllabus

1. Generative Design - Introduction to algorithmic modeling of Rhinoceros 3D Grasshopper
2. Generative Design - parametric modeling with complete history (Grasshopper)
3. Generative design - use of evolutionary algorithms Grasshopper - Galapagos)
4. Generative design - form finding - Grasshopper Kangaroo, or alternatives
5. Generative Design - Generating Structures (Grasshopper Paneling Tools, or Alternatives)
6. 3D optical digitization - ATOS system
7. 3D optical digitization - Sense system
8. Software GOM Inspect - post-processing, network modifications, primitives
9. Rapid prototyping - preparation of desktop 3D printer
10. Production of parts using rapid prototyping (practical training FabLAB)
11. Production of parts using rapid prototyping (practical training FabLAB)
12. Robotic production and CNC - (KUKA PRC, or alternatives)
13. Basics of working with 6-axis industrial robot (KUKA KR 60 HA - practical demonstration)

Elearning

eLearning: currently opened course