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Possibilities of the Application of ghe Software for Welding in Virtual Reality on the Welders Training
Abstract:
Welding in virtual reality is an artificial, computer generated, environment where the welder is located with a goal of the successful realization of the welding process. This process should be ended with a best derived welded joint for the given conditions. The main idea of the following type of software is to focus on the training of future welders. During the training, a great amount of energy is consumed, and hazardous radiation, fumes and gasses have an effect on the health of the welder. Therefore, the application of the software for welding in virtual reality allows a great saving in material and energy, moreover, it reduces or eliminates all harmful effects of the welding process. This paper elucidates all the possibilities of the application of one software for welding in virtual reality called “Hyperwelder”. The focus is the analysis of the two parts of this software that refers to the welding training, and the simulation in workshop conditions. It is indicated on the possibilities of the software, its advantages and disadvantages, and further development in the way of welding in more real working conditions. Summarizing all the benefits that welding in virtual reality brings, this way of training will most certainly become obligatory in every training process.
CITATION:
IEEE format
M. Dujović, O. Popović, R. Prokić - Cvetković, “Possibilities of the Application of ghe Software for Welding in Virtual Reality on the Welders Training,” in Sinteza 2020 - International Scientific Conference on Information Technology and Data Related Research, Belgrade, Singidunum University, Serbia, 2020, pp. 181-187. doi:10.15308/Sinteza-2020-181-187
APA format
Dujović, M., Popović, O., Prokić - Cvetković, R. (2020). Possibilities of the Application of ghe Software for Welding in Virtual Reality on the Welders Training. Paper presented at Sinteza 2020 - International Scientific Conference on Information Technology and Data Related Research. doi:10.15308/Sinteza-2020-181-187
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