MATEC Web Conf.
Volume 210, 201822nd International Conference on Circuits, Systems, Communications and Computers (CSCC 2018)
|Number of page(s)||5|
|Published online||05 October 2018|
Case study research: Optical digitization, reverse engineering and rapid prototyping as a solution in pedal car development process
Tomas Bata University in Zlin, nam. T.G. Masaryka 5555, 76001 Zlin, Czech Republic
2 Czech Pedal Car, Sazovice 171, 763 01 Myslocovice, Czech Republic
3 HM Model, Zdanska 906, 685 01 Bucovice, Czech Republic
* Corresponding author: firstname.lastname@example.org
The motivation of this work was to find an appropriate manufacturing method for pedal car accessories. This study describes the application of optical digitization, reverse engineering and rapid prototyping in manufacturing process of accessories for handmade pedal car, which imitates an unique historic Czech car, a Škoda 1000 MB, type 990 Roadster. Two well-known design elements, rear light and front indicator, were digitized by non-contact 3D scanner. The digitized 3D models were used as an inputs for reverse engineering. Their shapes were modified due to technological limits of vacuum forming, scaled and used to design of the 3D printed vacuum forming moulds. The final parts were made of transparent foil, trimmed around the perimeter and airbrushed from the inside. The described process served to verify the manufacturability of these accessories before commencing works on a mass-produced pedal cars intended for sale to customers.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.