Study of high toughness ferrite wire for submerged arc welding of pipeline steel

2001 ◽  
Vol 47 (1) ◽  
pp. 67-73 ◽  
Author(s):  
Yun Peng ◽  
Wuzhu Chen ◽  
Zuze Xu
2007 ◽  
Vol 353-358 ◽  
pp. 385-388
Author(s):  
De Liang Ren ◽  
Fu Ren Xiao ◽  
P. Tian ◽  
X. Wang ◽  
L.Y. Zhang ◽  
...  

With the development of high toughness pipeline, it is necessary to develop new welding wires for high-efficiency submerged-arc welding, to produce weld metals whose properties can match corresponding ones of the base metal, such as strength, toughness, H2S corrosion resistance, etc. In this paper, the weld wires with variations of elements have been designed, and the effects of alloy elements on the microstructures and low temperature impact toughness are discussed.


2019 ◽  
Vol 141 (4) ◽  
Author(s):  
Lochan Sharma ◽  
Rahul Chhibber

High strength low alloy steels are extensively used in different applications like oil and gas transmission line pipes, pressure vessels and offshore oil drilling platforms. Submerged arc welding (SAW) is mainly used to weld high thickness steel plates. Flux composition and welding parameters play an important role in determining the adequate quality and mechanical properties of the weld. Agglomerated fluxes were formulated based on TiO2–SiO2–MgO and SiO2–MgO–Al2O3 flux system using constrained mixture design and extreme vertices design approach. The chemical compositions of the bead on a plate have been studied using formulated fluxes. Twenty-one beads on plates were applied using submerged arc welding process keeping the parameters: current, voltage, and welding speed constant. Regression models were developed for bead on plate content in terms of individual, binary, and ternary mixture flux constituents for submerged arc multipass bead on plate deposition for pipeline steel (API 5 L X70). In the present study, chemical composition, grain size, and microhardness properties of the multipass bead on a plate (for API 5 L X70 grade pipeline) were optimized using multi-objective optimization approach.


2016 ◽  
Vol 16 (3) ◽  
pp. 141-151 ◽  
Author(s):  
Satish Kumar Sharma ◽  
Sachin Maheshwari ◽  
Sandeep Rathee

AbstractIn this paper, for the purpose of better control as well as multi-objective optimization of bead geometry parameters, the optimal combination of submerged arc welding (SAW) process variables is determined using fuzzy logic approach. Open circuit voltage, trolley speed, contact tube to work distance, preheating temperature and wire feed rate are taken as process variables during SAW of the pipeline steel. For this experimental investigation, experiments are designed and performed according to response surface methodology (RSM). Bead width, penetration, and reinforcement are taken as the performance measures in bead geometry. In fuzzy logic, two membership function (MF) namely triangular and trapezoidal are employed for the performance comparison of SAW process. As compared to triangular MF, the use of trapezoidal MF has given the more logical and better-optimized results for bead geometry parameters. Outcomes of the study are also confirmed by conducting the confirmatory experiments.


2016 ◽  
Vol 16 (4) ◽  
pp. 263-271 ◽  
Author(s):  
Satish Kumar Sharma ◽  
Sachin Maheshwari

AbstractIn any type of welding, its heat affected zone (HAZ) is the most critical section where the probability of hydrogen or solidification cracking is prominent. Continuous efforts are being applied by researchers and welders to minimize HAZ and its alterations. For the same purpose, by varying the factors of submerged arc welding (SAW) process which directly influences the heat input and cooling rate of the weld, experiments are carried out on the plates of micro-alloyed high strength pipeline steel. Voltage, welding speed, contact tube to work distance, wire feed rate and preheating temperature are taken as process variables. The experiments are designed according to the central composite rotatable design approach of response surface methodology (RSM). Multi-objective optimization of HAZ characteristics (HAZ area and its hardness) is carried out using grey relational analysis (GRA). To un-correlate the correlated characteristics of HAZ, principal component analysis (PCA) approach is coupled with GRA. The results of the confirmatory test have shown an improvement of 28.51 % and 5.94 % in area and hardness value of HAZ respectively at optimal setting combination of SAW process parameters.


Sign in / Sign up

Export Citation Format

Share Document