NDLI: Machine assisted manual torch operation in gas tungsten arc welding process

Content Provider	IEEE Xplore Digital Library
Author	Ning Huang ShuJun Chen YuMing Zhang
Copyright Year	2015
Description	Author affiliation: Welding Res. Inst., Beijing Univ. of Technol., Beijing, China (Ning Huang; ShuJun Chen) \|\| Dept. of Electr. Eng., Univ. of Kentucky, Lexington, KY, USA (YuMing Zhang)
Abstract	Skills possessed by human welders typically require a long time to develop. Especially, maintaining the torch to travel in desired speed is challenging. In this paper, a feedback control system is designed and implemented to assist the welder to adjust the torch movement for the desired speed in manual gas tungsten arc welding (GTAW) process. To this end, an innovative helmet based manual welding platform is proposed and developed. In this system, vibrators are installed on the helmet to generate vibration sounds to instruct the welder to speed or slow down the torch movement. The torch movement is monitored by a leap motion sensor. The torch speed is used as the feedback for the control algorithm to determine how to change the vibrations. To design the control algorithm, dynamic experiments are conducted to correlate the arm movement (torch speed) to the vibration control signal. Linear model is firstly identified using standard least squares method, and the model is analyzed. A nonlinear Adaptive Neuro-Fuzzy Inference System (ANFIS) model is then proposed to improve the modeling performance. The resultant nonlinear ANFIS model can estimate the welder's response on the welding speed with acceptable accuracy. Based on the response model, a PID control algorithm has been designed and implemented to control the welder arm movement for desired torch speed. Experiments verified the effectiveness of the system for the desired speed with acceptable accuracy.
Sponsorship	IEEE Ind. Electron. Soc. (IES)
Starting Page	1478
Ending Page	1483
File Size	538191
Page Count	6
File Format	PDF
e-ISBN	9781467391078
DOI	10.1109/AIM.2015.7222750
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-07-07
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Welding Vibrations Adaptation models Mathematical model Data models Manuals Monitoring
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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