scholarly journals Research of Arc Stability in Submerged Arc Welding Based on SiO2 and TiO2 Flux System

2019 ◽  
Vol 8 (12S) ◽  
pp. 282-286
Keyword(s):  
Arc Welding ◽  
High Speed ◽  
Ternary Phase Diagram ◽  
Submerged Arc Welding ◽  
Open Circuit ◽  
Arc Stability ◽  
Flux System ◽  
Voltage Transient ◽  
High Speed Data ◽  
Submerged Arc

In this study the fluxes of the submerged arc welding were designed with the help of ternary phase diagram CaO_SiO_2_Al_2 O_3 & CaO_TiO_2_Al_2 O_3 flux systems. Various combinations of flux constituents and caching parameters for performing submerged arc welding. Orthogonal array of Taguchi L9 were used for designing the flux. 3 variable of flux constituents were varied at three levels. Total number of 18 fluxes were designed for the study. 9 each for TiO2 and SiO2 based flux system. At open circuit voltage bead on the plate weld was performed i.e. 34Volt. By this study, an effort has been done to study/experiment the arc stability of SiO2 and TiO2 based flux system. Current and voltage transient were recorded by the use of high speed data procurement system. MATLAB 9 and Sigma plot 11 were used to plot the graph of time v/s voltage and current, to visualize the behavior of arc at different duration of weld for both types of flux systems. In SiO2 flux system, flux no 4 gave optimized results whereas in TiO2 flux system, flux no1 gave the better results.

Prediction Model of Twin-Arc High Speed Submerged Arc Weld Shape Based on Improved BP Neural Network

2011 ◽  
Vol 216 ◽  
pp. 194-199 ◽  
Author(s):  
Kuan Fang He ◽  
Ji Gang Wu ◽  
Xue Jun Li ◽  
H. Long
Keyword(s):  
Neural Network ◽  
Prediction Model ◽  
Penetration Depth ◽  
Adaptive Learning ◽  
Arc Welding ◽  
High Speed ◽  
Welding Process ◽  
Submerged Arc Welding ◽  
Forming Quality ◽  
Submerged Arc

Twin-Arc high-speed submerged arc welding forming quality prediction model was developed by three layers BP (Back Propagation) neural network. In the model, twin arc current, twin arc voltage, welding speed and wire spacing are selected for the study factor, weld pool width and penetration depth are weld forming quality indicators. The adaptive learning rate and additional momentum term are introduced to improve BP algorithm. Experiments show that the network structure is reasonable of the nodes by inputting and outputting layers of 6 and 2 respectively, hidden layer nodes are 13. The developed neural network model can predict the weld geometry with high computing and predictive accuracy of maximum predictive validation error of weld width and penetration depth within 9.6%, 10.3% respectively, which can be used for real-time monitoring of the quality of welding in the twin arc high-speed submerged arc welding process.

scholarly journals Development of High Speed Submerged Arc Welding in Spiral Pipe Mill

1986 ◽  
Vol 26 (5) ◽  
pp. 433-438 ◽  
Author(s):  
Mitsuhiro HANADA ◽  
Hiromitsu TAKEDA ◽  
Hisafumi FUKUSHIMA ◽  
Isamu KOIZUMI ◽  
Yoshiaki NOGUCHI
Keyword(s):  
Arc Welding ◽  
High Speed ◽  
Submerged Arc Welding ◽  
Submerged Arc ◽  
Pipe Mill

A High Notch Toughness Agglomerated Flux for Submerged Arc Welding of Pipeline Steel

2006 ◽  
Vol 306-308 ◽  
pp. 405-410 ◽  
Author(s):  
De Liang Ren ◽  
Bo Liao ◽  
Changling Xu ◽  
Lianhai Hu ◽  
Fu Ren Xiao
Keyword(s):  
Low Temperature ◽  
Weld Metal ◽  
Arc Welding ◽  
High Speed ◽  
Uniform Design ◽  
Welding Process ◽  
Submerged Arc Welding ◽  
Notch Toughness ◽  
Technical Specifications ◽  
Submerged Arc

By using the mathematical uniform design, a new agglomerated flux for high speed and multi-arc submerged arc welding (SAW) has been developed in this paper, which performs excellently in welding process, and the effects of flux composition on the welding characteristics is analyzed as well. The mechanical tests show that the weld metal obtained in SAW with this flux exhibits high toughness at low temperature, and the other mechanical properties of the weld metal also satisfy the technical specifications for the West to East Pipeline Project in China. The microstructures of the weld metal are also examined. Both optical and TEM microphotoes demonstrate that the weld consists mainly of small-sized and uniformly distributed acicular ferrite. These microstructures can effectively prevent the initiation and propagation of micro cracks, resulting in high notch toughness of the weld metal at low temperature.

High speed X-ray observation of digital controlled submerged arc welding phenomena

2021 ◽  
pp. 1-9
Author(s):  
Yohei Abe ◽  
Takahiro Fujimoto ◽  
Mitsuyoshi Nakatani ◽  
Hisaya Komen ◽  
Masaya Shigeta ◽  
...  
Keyword(s):  
Arc Welding ◽  
High Speed ◽  
Submerged Arc Welding ◽  
X Ray ◽  
Submerged Arc

Three-Dimensional Temperature Field Numerical Simulation of Twin-Arc High-Speed Submerged Arc Welding Process Based on ANSYS

2011 ◽  
Vol 216 ◽  
pp. 188-193 ◽  
Author(s):  
Kuan Fang He ◽  
Xue Jun Li ◽  
Ji Gang Wu ◽  
Qi Li
Keyword(s):  
Temperature Field ◽  
Welding Speed ◽  
Arc Welding ◽  
Molten Pool ◽  
High Speed ◽  
Weld Seam ◽  
Welding Process ◽  
Submerged Arc Welding ◽  
Temperature Fields ◽  
Submerged Arc

Based on analysis of submerged arc welding arc heat source model and droplet heat inputting uniform distribution, ANSYS parametric design language was applied to develop sub-program for loading moving heat sources. ANSYS software was used to calculate the temperature fields. In the same welding conditions, weld seam width and depth value of experiments and simulation are contrasted, the biggest error was below 5%. The influence of different welding speed to molten pool temperature of twin-arc submerged arc welding was analyzed, it obtained results that temperature field distribution of twin-arc submerged arc welding changes more gentle than single arc submerged arc welding in condition of increased welding speed, it was helpful to the further analysis of molten pool dynamic behavior and weld seam shape factors of twin-arc high speed submerged arc welding.

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