Issue |
MATEC Web Conf.
Volume 354, 2022
10th International Symposium on Occupational Health and Safety (SESAM 2021)
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Article Number | 00029 | |
Number of page(s) | 9 | |
DOI | https://doi.org/10.1051/matecconf/202235400029 | |
Published online | 06 January 2022 |
Background-oriented schlieren technique in experimental research regarding the effect of explosion pressure
1 National Institute for Research & Development in Mine Safety and Protection to Explosion – INSEMEX Petroșani, 32-34 G-ral. V. Milea Street, Romania
2 University of Craiova, Faculty of Automatics, Computer Science and Electronics – ACEUCV Craiova, Bulevardul Decebal 107, Craiova 200776, Romania
* Corresponding author: bogdan.simon@insemex.ro
In the following paper, experimental results regarding the effect of explosion pressure are obtained from open field experiments with detonation of explosive charges. In addition, sensors that can be used for security applications for the detection of toxic and explosive compounds, as well as mobile systems for the detection of shock waves due to explosions were used to acquire more detailed results. Sensors are the main components in products and systems used to detect chemicals and volatile organic compounds (VOCs) targeting applications in several fields, such as: industrial production and the automotive industry (detection of polluting gases from cars, medical applications, indoor air quality control. The sensory characteristics of a robot depend very much on its degree of autonomy, the applications for which it was designed and the type of work environment. The sensors can be divided into two categories: internal status sensors (sensors that provide information about the internal status of the mobile robot); external status sensors (sensors that provide information about the environment in which the robot operates). Another classification of these could be: distance sensors, position sensors, environmental sensors - sensors that provide information about various properties and characteristics of the environment (example: temperature, pressure, color, brightness), inertial sensors.
© The authors, published by EDP Sciences, 2022
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.
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