MATEC Web Conf.
Volume 144, 2018International Conference on Research in Mechanical Engineering Sciences (RiMES 2017)
|Number of page(s)||6|
|Published online||09 January 2018|
Solid Modelling Interaction with Sensors for Virtual Reality Welding
School of Mechanical Engineering, REVA University, Bengaluru, Karnataka, India
2 Department of Mechanical Engineering, Atria Institute of Technology, Bengaluru, Karnataka, India
* Corresponding author: email@example.com
The imperative part of strong displaying in virtual reality framework is to improve the movement of a user with definitive movement control in genuine intelligent condition. In a real environment motion characteristic is based on sensors and servomechanisms where as in virtual reality systems the motion fundamentals are kinematic in nature. To achieve physically correct interactivity suitable dynamic constraints, should be imposed which can be obtained by augmented reality interface. Beyond input and output hardware, the underlying software plays a very important role in virtual reality systems. It is responsible for the managing of input/output devices, analysing incoming data and generating proper feedback. This research paper focusses on movement displaying for connection between CAD models and Virtual Reality Models using 3ds Max 2017 and Unity 3d softwares. The paper portrays different equipment arrangement of sensors and Arduino for virtual reality welding.
Key words: Welding / Virtual Reality / 3ds Max 2017 / Unity 3d / Solid modelling / Arduino
© 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.