High-strength rebar plays a supporting role in large engineering structures due to its excellent performance. Moreover, the models constructed here can provide valuable hints into realizing data-driven control of the BF process. The three methods have important significances both in theory and in practice for predicting CCR. Furthermore, AdaBoost based on linear regression has also strong prediction ability and generalization performance. The three indicators of the SVR model are 1.158 kg The mean absolute error, the root mean square error, and the coefficient of determination ( R 2 ) of the MLR model are 1.079 kg The result of ten-fold cross-validation indicates that multiple linear regression (MLR) and support vector regression (SVR) based on radial basis function are superior to the other methods. In this article, 13 data-driven prediction techniques, including six conventional and seven ensemble methods, are applied to predict CCR. It is momentous to quickly predict the comprehensive coke ratio (CCR) of BF, because CCR is one of the important indicators for evaluating gas emissions, energy consumption, and production stability, and also affects composite economic benefits. The emission of blast furnace (BF) exhaust gas has been criticized by society. The microhardness of the interface is higher than that of the clad steel ingot, and the metallurgical bond of the interface is good. The thermal scaling experiment was carried out on the cladding path under the condition of a casting temperature of 1,560☌ and no preheating of the ingot core. Obviously, the interfacial melting rate can be significantly improved. The research results show that the cladding path has a certain functional relationship with the diameter of the ingot core and the preheating temperature of the ingot core. The transient heat transfer process and cladding path of the ingot core and cladding layer under different molten steel casting temperatures, different ingot core diameters and different ingot core preheating temperatures were studied by combining numerical simulation and thermal experiments. It could be interpreted as a more stable response regarding the application-specific design conditions.Īiming at the quality problems such as segregation, porosity and shrinkage cavities that are difficult to eliminate due to the size effect of large die-cast steel ingots as large forging blanks, the idea of layered casting of large steel ingots is proposed. Similar behavior is observed for the heat capacity by increasing pressure at higher temperatures, where a smaller reduction is observed. At higher temperatures, the thermal expansion of the ZrC 0.50 N 0.50 shows a smaller increase, which makes it a favorable candidate for coating material in cutting tools against commonly used ZrN and ZrC ceramics. Considering ZrC (1− x ) N x with the x in the range of 0.0, 0.25, 0.5, 0.75, and 1.0, ZrC 0.50 N 0.50 stands out in the response to the applied conditions. We address the effect of the structural anisotropy and bonding nature of ZrC (1− x ) N x compounds on their thermal response to extreme conditions. In our investigation, we cover elastic constants, elastic moduli, compressibility, ductility/brittleness, hardness, sound velocities, minimum thermal conductivity, melting temperature, anisotropy indices, isothermal bulk modulus, heat capacities, entropy, Debye temperature, Grüneisen parameter, thermal expansion coefficient, and thermal pressure. We implemented the Debye–Grüneisen quasi-harmonic model in our calculations. We present the thermodynamic properties of ZrC (1− x ) N x ceramics at elevated temperature (0–1,000 K) and pressure (0–150 GPa) conditions, explored by density functional theory. When the Ru content rises to 20.83 at%, the bulk modulus, shear modulus, Young’s modulus, and Poisson’s ratio of the alloy attain the maximum value, the brittleness diminishes to the most extent, the resistance to elastic deformation is the strongest, as well at the optimum fracture toughness. The bonding peak appears to drop and widen, weakening the bonding strength of Ta–Cr atoms, rendering the shear deformation to be performed easily, thereby improving toughness. With the increase in the Ru content, the alloying ability of Ta 8 Cr 16− n Ru n ( n = 0–6) becomes progressively weaker, the stability gradually decreases, whereas the Poisson’s ratio grows. The addition of Ru atoms tends to preferentially occupy the lattice sites of Cr. Based on the first-principles method of density functional theory, the microscopic mechanism of the effect of addition of alloying element Ru content on the stability and elastic properties of Laves phase TaCr 2 was investigated by parameters such as formation enthalpy, electronic structure, and elastic constants.
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