Viscosity evaluation of Fe–Ni–Co ternary alloy from the measured binary systems

Liu, Qing; Lv, Xuewei; Bai, Chenguang; Lai, Pingsheng; Wang, Jinsheng

doi:10.1016/j.jiec.2015.05.009

Cited by 12 publications

(2 citation statements)

References 32 publications

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“…However, the weld beam was a kind of Ni-based alloy. The viscosity of the Ni-based liquid alloy was negatively correlated with temperature [19,20]. With the filling rate increased, the temperature of the molten pool increased and the viscosity decreased.…”

Section: Influence Mechanism Analysis Of Thermitementioning

confidence: 98%

Effect of Filling Rate on Underwater Wet Welding Process and Weld Appearance

Zhang

Guo

et al. 2020

Materials

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Real-time electric signal, matter transfer mode and welding pool behavior were obtained to investigate the effect of wires’ filling rate on arc stability and joints’ appearance during underwater wet flux-cored arc welding (FCAW). The electric signal results showed that arc stability first decreased and then increased rapidly because the raise of filling rate affected the number of charged particles and the electrical conductivity of welding arc atmosphere. Two typical transfer modes, globular repelled transfer mode and surface tension transfer mode, were observed in this study. The ratio of surface tension transition could be increased by adding wires’ filling rate. Meanwhile, the geometry of molten pool was changed and the distance between droplets to welding pool reduced as the filling rate increased. The fusion line became more regular and the radius of curvature increased under the effect of bubbles in the molten pool. As the filling rate improving, more slags on the welds surface were acquired and the welds were much flatter and smoother.

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Section: Influence Mechanism Analysis Of Thermitementioning

confidence: 98%

Effect of Filling Rate on Underwater Wet Welding Process and Weld Appearance

Zhang

Guo

et al. 2020

Materials

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show abstract

“…In addition, with the number of materials, the experimental problems increase dramatically. As a result, several papers on the prediction of physicochemical properties such as molar volume, molar enthalpy, density, viscosity and refractive indices have been published in recent decades [1][2][3][4][5][6][7][8][9]. In this paper, the excess molar volume of quaternary system n-hexanol + ethanenitrile + dichloromethane + tetrahydrofuran at 298.15 K is determinate by using Toop model [10], Hillert model [11], Kohler model [12], Muggianu model [13] and Chou model [14,15].…”

Section: Introductionmentioning

confidence: 99%

298,15 K de Dörtlü Sıvı Karışımların Fazla Molar Hacimlerinin Tahmini

Arslan

2021

Süleyman Demirel Üniversitesi Fen Edebiyat Fakültesi Fen Dergisi

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The excess molar volumes for the ternary n-hexanol + ethanenitrile + dichloromethane and quaternary system n-hexanol + ethanenitrile + dichloromethane + tetrahydrofuran at 298.15K has been calculated by using symmetric and asymmetric models. Chou's General solution model has been employed to evaluate the excess molar volume of the ternary n-hexanol + ethanenitrile + dichloromethane and quaternary systems in the n-hexanol + ethanenitrile + dichloromethane + tetrahydrofuran. The good agreement between experimental data and calculated results of excess molar volumes for both mixture systems indicates that this approach can be successfully used to predict the excess molar volumes of multicomponent systems.

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Experimental and Modeling Studies on Density of Ca(NO3)2–NaNO3–KNO3 Ternary Salts with Focus on Calcium Nitrate Density Prediction

Shrotri

Muhmood

2020

Int J Thermophys

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Viscosity evaluation of Fe–Ni–Co ternary alloy from the measured binary systems

Cited by 12 publications

References 32 publications

Effect of Filling Rate on Underwater Wet Welding Process and Weld Appearance

Effect of Filling Rate on Underwater Wet Welding Process and Weld Appearance

298,15 K de Dörtlü Sıvı Karışımların Fazla Molar Hacimlerinin Tahmini

Experimental and Modeling Studies on Density of Ca(NO3)2–NaNO3–KNO3 Ternary Salts with Focus on Calcium Nitrate Density Prediction

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