MATEC Web Conf.
Volume 178, 201822nd International Conference on Innovative Manufacturing Engineering and Energy - IManE&E 2018
|Number of page(s)||8|
|Section||Design and Analysis, CAD/CAM/CAE/CAx Technologies, Flexible Manufacturing, Automation and Robotics in Technological Processes|
|Published online||24 July 2018|
Studies on robotic testing equipment used in mechatronic devices manufacturing processes to improve the root cause analysis
Transilvania University of Brasov, Manufacturing Engineering Department, B-dul Eroilor, nr. 29, 500036, Braşov, Romania
* Corresponding author: email@example.com
In the newest technology of Industry 4.0 and more complex products manufactured, as the innovation requires new flexible manufacturing equipment using robots and complex designed workstations, and the robotic testing equipment as well, the engineers are faced with new challenges to the processing of the information, multiple parameters being collected. The paper aim is to present the studies performed on robotic testing equipment from a manufacturing line of an automotive mechatronic device by using the design of experiments to optimize the 3D movements of the arm, the speed and approach procedure of the testing device. The ANOVA will support the analysis of the repeatability of the movements and find the main factors which lead to variation in measurements, therefore could support the root cause analysis of issues occurred.
© The Authors, published by EDP Sciences, 2018.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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.