2017 №06 (03) DOI of Article
2017 №06 (05)

Automatic Welding 2017 #06
Avtomaticheskaya Svarka (Automatic Welding), #6, 2017, pp. 26-34
Concept of creation of an improved artifical intelligence system and computerized trainer for virtual welding

Juihuei Yao1, S.I. Peleshenko1, V.N. Korzhik2, V.Yu. Khaskin2, V.V. Kvasnitsky3
1ShenzhengWeihan Science and Technology Co., Ltd., A4 Building 1001 Xuan Ave., 518071, Shenzhen, Guangzhou, China
2E.O. Paton Electric Welding Institute, NASU 11 Kazimir Malevich Str., 03680, Kiev, Ukraine. E-mail: office@paton.kiev.ua
3NTUU «Igor Sikorsky KPI» 37 Pobedi Prosp., 03056, Kiev, Ukraine
One of the effective ways to solve the problem of shortage of highly qualified welders is application of virtual welding systems for their training. Such systems are based on artificial intelligence, used to develop a computerized trainer fitted with an interface adapted to learning objectives. Now already such systems enhance the training capabilities through increasing the number of modeled welding technologies and welding techniques. It can be anticipated that in the future they will help various institutions to significantly reduce the cost of training specialists. The objective of the work was creation of artificial intelligence for training welders, allowing development of a virtual system for real-time training in welding with functions of prediction and modeling of morphology, as well as intellectual evaluation of weld quality. Performance of work led to development of an artificial intelligence system for a network of welding trainers V60, having the following advantages: capability of modeling a realistic appearance and quality of weld; capability of modeling the stress-strain state of welded parts and temperature fields in real time; data base for modeling a large number of welding technologies and applied materials; capability of modeling 3D printing processes; availability of a system for virtual testing and analysis of welded part quality; certification system; entertainment module; access to expert department and high cost-effectiveness. It was found that the quality of welding process simulation by virtual trainer depends on the graphic component speed and it is the higher, the higher the level of taking into account the thermal impact of welding source on heating of the sample being welded and the arising stress-strain state. 13 Ref., 1 Table, 10 Figures.
Keywords: welding trainer, manual arc welding, nonconsumable arc welding, consumable arc welding, artificial intelligence, virtual welding
Received:                19.04.17
Published:               06.07.17
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