Calculation model of formation of nonmetallic inclusions of multilayer morphology in weld metal

2018 ◽  
Vol 2018 (2) ◽  
pp. 5-10
Author(s):  
L.A. Taraborkin ◽  
◽  
V.V. Golovko ◽  
2013 ◽  
Vol 14 (12) ◽  
pp. 2137-2142 ◽  
Author(s):  
Soon-Cheol Park ◽  
Yong-Jun Lee ◽  
Hui-Jun Yi ◽  
Geum-Bin Yu ◽  
Sung-Su Kang

2018 ◽  
Vol 61 (8) ◽  
pp. 596-600
Author(s):  
N. A. Kozyrev ◽  
L. P. Bashchenko ◽  
O. E. Kozyreva ◽  
A. R. Mikhno

The study results of introduction of barium-strontium carbonatite of various fractional composition into flux based on silicomanganese production slag are presented. The principal possibility of using their mixtures for depositing and welding of low-alloy steels is shown, while the use of barium-strontium carbonatite makes it possible to reduce contamination of weld metal with nonmetallic inclusions. In series of experiments in laboratory conditions, various compositions of welding fluxes were made and investigated. As components, barium-strontium modifier BSC produced by “NPK Metallotechnoprom” LC under TU 1717-001-75073896-2005 was used, wt. %: 13.0 – 19.0 % BaO; 3,5 – 7,5 % SrO; 17.5 – 25.5 % CaO; 19.8 – 29.8 % SiO2 ; 0.7 – 1.1 % MgO; 2.5 – 3.5 % K2O; 1.0 – 2.0 % Na2O; 1.5 – 6.5 % Fe2O3 ; 0 to 0.4 % MnO; 1.9 – 3.9 % of Al2O3 ; 0.7 – 1.1 % TiO2 ; 16.0 – 20.0 % CO2 as well as silicomanganese slag produced by JSC “EVRAZ – West-Siberian Metallurgical Combine”, wt. %: 6.91 – 9.62 % Al2O3 ; 22.85 – 31.70 % CaO; 46.46 – 48.16 % SiO2 ; 0.27 – 0.81 % FeO; 6.48 – 7.92 % MgO; 8.01 – 8.43 % MnO; 0.28 – 0.76 % F; 0.26 – 0.36 % Na2O; up to 0,62 % K2O; 0.15 – 0.17 % S; 0.01 % P. Basis of the flux is silicomanganese production slag, into which a flux additive was introduced. Flux additive was produced in two ways. The first one: by mixing barium-strontium modifier with liquid glass in a ratio of 75 and 35 %, respectively. The second variant is as follows: dust of strontium-barium modifier of fraction less than 0.2 mm was used as a flux additive. The technology of flux-additive manufacturing is described. Welding of rollers was carried out using ASAW-1250 welding tractor. Regimes of surfacing were worked out. The chemical compositions of fluxes, slag crusts, flux and weld metal were determined. Metallographic studies of metal were performed. The results of analysis for presence of nonmetallic inclusions in weld zone were carried out in accordance with GOST 1778 – 70. Studies indicate a decrease in contamination of weld metal by silicates that are not deformed and absence of brittle silicates. 


2018 ◽  
Vol 106 (6) ◽  
pp. 603 ◽  
Author(s):  
Bendaoud Mebarek ◽  
Mourad Keddam

In this paper, we develop a boronizing process simulation model based on fuzzy neural network (FNN) approach for estimating the thickness of the FeB and Fe2B layers. The model represents a synthesis of two artificial intelligence techniques; the fuzzy logic and the neural network. Characteristics of the fuzzy neural network approach for the modelling of boronizing process are presented in this study. In order to validate the results of our calculation model, we have used the learning base of experimental data of the powder-pack boronizing of Fe-15Cr alloy in the temperature range from 800 to 1050 °C and for a treatment time ranging from 0.5 to 12 h. The obtained results show that it is possible to estimate the influence of different process parameters. Comparing the results obtained by the artificial neural network to experimental data, the average error generated from the fuzzy neural network was 3% for the FeB layer and 3.5% for the Fe2B layer. The results obtained from the fuzzy neural network approach are in agreement with the experimental data. Finally, the utilization of fuzzy neural network approach is well adapted for the boronizing kinetics of Fe-15Cr alloy.


Author(s):  
A. A. Safronov ◽  
V. S. Dub ◽  
V. V. Orlov ◽  
K. L. Kosyrev ◽  
A. S. Loskutov ◽  
...  

2015 ◽  
Vol 53 (7) ◽  
pp. 480-487 ◽  
Author(s):  
Namhyun Kang ◽  
Guo Xian ◽  
Myungjin Lee ◽  
Junghoon Lee

2011 ◽  
Vol 131 (12) ◽  
pp. 1017-1023 ◽  
Author(s):  
Norihito Yanagita ◽  
Tatsuro Kato ◽  
Toshiaki Rokunohe ◽  
Takeshi Iwata ◽  
Hiroki Kojima ◽  
...  

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