Stepanova, Ksenija; ITMO University; Russian Federation
Ashikhin, D.; ITMO University; Russia
Bychenok, V.; Engineering Design Center of Space-Systems Support; Russia
Fedorov, A.; ITMO University; Russia
Kinzhagulov, I.; ITMO University; Russia
Stepanova, K.; ITMO University; Russia
Tkacheva, N.; Engineering Design Center of Space-Systems Support; Russia
Session: Acoustic Emission 2 / Laser UT 1
Time: 09:00 - 09:20
Nowadays the friction stir welding (FSW) process is widely used all over the world in fields of industry. The implementation of the FSW technology is carried out by complicated automated systems. Monitoring of such parameters as the pressure on the welding tool, the welding tool feed rate, the position of the welding tool relative to the welded products, etc. is performed during the welding process. Minor deviations which occur in the process of welding can cause the formation of defects in the joint.
Defects of joints manufactured by the FSW are often caused by various factors such as violation of the requirements for the preparation of welded parts, wear and breakage of the welding tool, improper selection of welding conditions, etc.
The monitoring of defect formation during the welding process allows to detect defects with small opening and to eliminate such defects promptly by adjusting the parameters of the welding process, which will also lead to an improvement in the quality of the manufactured products. One of the promising methods of non-destructive testing applicable in dynamic systems is the acoustic emission method.
The paper presents the results of the analysis of informative parameters of acoustic emission signals obtained during the process monitoring of the FSW for various welding modes. The process parameters which were changed during the experimental studies are as follows: the pressure on the welding tool, the rotation speed and the feed rate of the welding tool.
The complex use of an online welding parameters monitoring system and the acoustic emission method makes it possible to increase the information content of monitoring the production process of welding and to perform operational quality control during the formation of joints manufactured by FSW.