Results 261 to 270 of about 37,886 (319)

Gas Tungsten arc welding of Ti-6Al-4V sheet for pressure vessels used in aerospace application: A detailed characterization of weldment

International Journal of Pressure Vessels and Piping, 2022
M. Subramaniyan, D. Veeman, Siva Shanmugam Nallathambhi, S. Thanigainathan   +3 more
semanticscholar   +1 more source

Intelligent modelling and optimization of the gas tungsten arc welding process

Journal of Intelligent Manufacturing, 1999
This paper describes an application of neural networks and simulated annealing (SA) algorithm to model and optimize the gas tungsten arc welding (GTAW) process. The relationships between welding process parameters and weld pool features are established based on neural networks.
Tarng, Y.S., Wu, J.L., Yeh, S.S., Juang, S.C.   +3 more
openaire   +3 more sources

Microprocessor control of arc starting for gas tungsten arc welding (GTAW)

IEEE Proceedings on Southeastcon, 2002
The development of a microprocessor-based controller which uses an adaptive touch-starting algorithm to ignite an arc on a gas tungsten arc welding system (GTAW) is described. By controlling the torch position and the welding current the arc is started without any use of high voltage.
J.B. Bjorgvinsson, Kristinn Andersen, R.J. Barnett, George E. Cook   +3 more
openaire   +2 more sources

Adaptive modeling of the weld pool geometry in gas tungsten arc welding

2013 10th IEEE INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC), 2013
Skilled welders can observe the weld pool and control the welding process accordingly. This implies that an advanced control system could be developed to control the welding process by emulating the estimation and decision making process of the human welder.
YuKang Liu, YuMing Zhang
openaire   +2 more sources

Experimental determination of weld pool geometry in gas tungsten arc welding

Science and Technology of Welding and Joining, 2001
Based on the analysis of the gas tungsten arc welding (GTAW) arc spectrum, a composite light filter is designed. This filter and a normal charge coupled device camera form a vision sensor, which observes the GTAW weld pool from the topside of the workpiece.
Chuansong Wu, J. Gao
openaire   +2 more sources

Weld penetration control in gas tungsten arc welding (GTAW) process

IECON 2013 - 39th Annual Conference of the IEEE Industrial Electronics Society, 2013
In this paper a predictive control system is developed to control the weld penetration in GTAW process. An innovative 3D vision based sensing system is used to measure the weld pool characteristic parameters in real-time. Weld penetration specified by the back-side bead width as output feedback is calculated by a neuro-fuzzy model using weld pool ...
YuMing Zhang, YuKang Liu
openaire   +2 more sources

Influence of Filler Wire and Welding Process to Mitigate the Microsegregation of Alloy C-2000 Using Continuous and Pulsed Current Gas Tungsten Arc Welding Techniques

Journal of materials engineering and performance (Print), 2021
B. Arulmurugan, D. Balaji, S. Rajkumar, M. Kamaraj, V. Mageshwaran, M. Sathishkumar, M. Manikandan, N. Arivazhagan   +7 more
semanticscholar   +1 more source

Modelling and measurements of gas tungsten arc welding in argon–helium mixtures with metal vapour

Welding in the World, 2021
J. Xiang, Keigo Tanaka, Fiona F. Chen, M. Shigeta, Manabu Tanaka, A. Murphy   +5 more
semanticscholar   +1 more source

Comparison of metallurgical and mechanical properties of dissimilar joint of AISI 316 and Monel 400 developed by pulsed and constant current gas tungsten arc welding processes

The International Journal of Advanced Manufacturing Technology, 2020
Balram Yelamasetti, Rajyalakshmi G, V. G, S. B., Harinadh Vemanaboina   +4 more
semanticscholar   +1 more source

A NEURAL NETWORK FOR WELD PENETRATION CONTROL IN GAS TUNGSTEN ARC WELDING

Acta Metallurgica Sinica (English Letters), 2006
Realizing of weld penetration control in gas tungsten arc welding requires establishment of a model describing the relationship between the front-side geometrical parameters of weld pool and the back-side weld width with sufficient accuracy. A neural network model is developed to attain this aim. Welding experiments are conducted to obtain the training
openaire   +2 more sources