Al-Cu-Mg-Ag alloys have become a research hotspot because of its good heat resistance.Its excellent mechanical properties are inseparable from the regulation of the structure by researchers.The method of material stru...Al-Cu-Mg-Ag alloys have become a research hotspot because of its good heat resistance.Its excellent mechanical properties are inseparable from the regulation of the structure by researchers.The method of material structure simulation has become more and more perfect.This study employs numerical simulation to investigate the microstructure evolution of Al-Cu-Mg-Ag alloys during solidification with the aim of controlling its structure.The size distribution of Ti-containing particles in an Al-Ti-B master alloy was characterized via microstructure observation,serving as a basis for optimizing the nucleation density parameters for particles of varying radii in the phase field model.The addition of refiner inhibited the growth of dendrites and no longer produced coarse dendrites.With the increase of refiner,the grains gradually tended to form cellular morphology.The refined grains were about 100μm in size.Experimental validation of the simulated as-cast grain morphology was conducted.The samples were observed by metallographic microscope and scanning electron microscope.The addition of refiner had a significant effect on the refinement of the alloy,and the average grain size after refinement was also about 100μm.At the same time,the XRD phase identification of the alloy was carried out.The observation of the microstructure morphology under the scanning electron microscope showed that the precipitated phase was mainly concentrated on the grain boundary.The Al_(2)Cu accounted for about 5%,and the matrix phase FCC accounted for about 95%,which also corresponded well with the simulation results.展开更多
The anode refining process to remove lead and silver from crude bismuth was studied. The study was carried out with chloride melts at 400 ℃ in a crucible-in-crucible type pyrex glass electrolyzer. The kinetic regula...The anode refining process to remove lead and silver from crude bismuth was studied. The study was carried out with chloride melts at 400 ℃ in a crucible-in-crucible type pyrex glass electrolyzer. The kinetic regularity of the removal of lead and silver was found to be in accordance with the equation:Inc=b-kt. Values of constant k were determined for different current density.The relationship between the purity of refined bismuth and its direct yield wasalso determined. A two-stage anode refining method was established. The firststage. was to remove most part of lead (about 90%) at higher current density ;the second stage was used for removing silver and the remains of lead at lowercurrent density. Under appropriate conditions high purity (WPb < 0.001%,WAd<0.004%) of bismuth could be obtained from crude bismuth with the direct yield of bismuth up to 98%.展开更多
A Lagrangian relaxation(LR) approach was presented which is with machine capacity relaxation and operation precedence relaxation for solving a flexible job shop(FJS) scheduling problem from the steelmaking-refining-co...A Lagrangian relaxation(LR) approach was presented which is with machine capacity relaxation and operation precedence relaxation for solving a flexible job shop(FJS) scheduling problem from the steelmaking-refining-continuous casting process. Unlike the full optimization of LR problems in traditional LR approaches, the machine capacity relaxation is optimized asymptotically, while the precedence relaxation is optimized approximately due to the NP-hard nature of its LR problem. Because the standard subgradient algorithm(SSA) cannot solve the Lagrangian dual(LD) problem within the partial optimization of LR problem, an effective deflected-conditional approximate subgradient level algorithm(DCASLA) was developed, named as Lagrangian relaxation level approach. The efficiency of the DCASLA is enhanced by a deflected-conditional epsilon-subgradient to weaken the possible zigzagging phenomena. Computational results and comparisons show that the proposed methods improve significantly the efficiency of the LR approach and the DCASLA adopting capacity relaxation strategy performs best among eight methods in terms of solution quality and running time.展开更多
In recent years, PetroChina has developed several novel refining technologies and some of them have been or are being industrialized in some refineries of PetroChina. These innovative refining processes are in the fie...In recent years, PetroChina has developed several novel refining technologies and some of them have been or are being industrialized in some refineries of PetroChina. These innovative refining processes are in the fields of clean fuels production, increasing diesel yield, resid conversion and upgrading of crude oil.展开更多
文摘Al-Cu-Mg-Ag alloys have become a research hotspot because of its good heat resistance.Its excellent mechanical properties are inseparable from the regulation of the structure by researchers.The method of material structure simulation has become more and more perfect.This study employs numerical simulation to investigate the microstructure evolution of Al-Cu-Mg-Ag alloys during solidification with the aim of controlling its structure.The size distribution of Ti-containing particles in an Al-Ti-B master alloy was characterized via microstructure observation,serving as a basis for optimizing the nucleation density parameters for particles of varying radii in the phase field model.The addition of refiner inhibited the growth of dendrites and no longer produced coarse dendrites.With the increase of refiner,the grains gradually tended to form cellular morphology.The refined grains were about 100μm in size.Experimental validation of the simulated as-cast grain morphology was conducted.The samples were observed by metallographic microscope and scanning electron microscope.The addition of refiner had a significant effect on the refinement of the alloy,and the average grain size after refinement was also about 100μm.At the same time,the XRD phase identification of the alloy was carried out.The observation of the microstructure morphology under the scanning electron microscope showed that the precipitated phase was mainly concentrated on the grain boundary.The Al_(2)Cu accounted for about 5%,and the matrix phase FCC accounted for about 95%,which also corresponded well with the simulation results.
文摘The anode refining process to remove lead and silver from crude bismuth was studied. The study was carried out with chloride melts at 400 ℃ in a crucible-in-crucible type pyrex glass electrolyzer. The kinetic regularity of the removal of lead and silver was found to be in accordance with the equation:Inc=b-kt. Values of constant k were determined for different current density.The relationship between the purity of refined bismuth and its direct yield wasalso determined. A two-stage anode refining method was established. The firststage. was to remove most part of lead (about 90%) at higher current density ;the second stage was used for removing silver and the remains of lead at lowercurrent density. Under appropriate conditions high purity (WPb < 0.001%,WAd<0.004%) of bismuth could be obtained from crude bismuth with the direct yield of bismuth up to 98%.
基金Projects(51435009,51575212,61573249,61371200)supported by the National Natural Science Foundation of ChinaProjects(2015T80798,2014M552040,2014M561250,2015M571328)supported by Postdoctoral Science Foundation of ChinaProject(L2015372)supported by Liaoning Province Education Administration,China
文摘A Lagrangian relaxation(LR) approach was presented which is with machine capacity relaxation and operation precedence relaxation for solving a flexible job shop(FJS) scheduling problem from the steelmaking-refining-continuous casting process. Unlike the full optimization of LR problems in traditional LR approaches, the machine capacity relaxation is optimized asymptotically, while the precedence relaxation is optimized approximately due to the NP-hard nature of its LR problem. Because the standard subgradient algorithm(SSA) cannot solve the Lagrangian dual(LD) problem within the partial optimization of LR problem, an effective deflected-conditional approximate subgradient level algorithm(DCASLA) was developed, named as Lagrangian relaxation level approach. The efficiency of the DCASLA is enhanced by a deflected-conditional epsilon-subgradient to weaken the possible zigzagging phenomena. Computational results and comparisons show that the proposed methods improve significantly the efficiency of the LR approach and the DCASLA adopting capacity relaxation strategy performs best among eight methods in terms of solution quality and running time.
文摘In recent years, PetroChina has developed several novel refining technologies and some of them have been or are being industrialized in some refineries of PetroChina. These innovative refining processes are in the fields of clean fuels production, increasing diesel yield, resid conversion and upgrading of crude oil.
