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In this study, we investigate the burning behavior of titanium during the electroslag remelting (ESR) process and its impact on the titanium content at the endpoint using machine learning. Initially, a comprehensive database was established by collecting data from literature and experiments, encompassing slag system composition, smelting temperature, and material composition content. Subsequently, six machine learning algorithms, including random forest and Bayesian regression, were employed to model the burning loss behavior of titanium. The random forest model, which exhibited optimal mean square error (MSE) performance, was utilized to generate partial dependence plots. These plots, in conjunction with experimental observations and existing studies, facilitated the analysis of key factors influencing titanium burn loss. Furthermore, the same six machine learning models were applied to predict the endpoint titanium content. The Bayesian regression model demonstrated superior performance in terms of R2 and MSE, leading to the derivation of an empirical formula for predicting endpoint titanium content. This empirical formula was subsequently validated, refined, and optimized using a thermodynamic model based on the theory of molecular ion coexistence. The final prediction formula achieved an error margin of 0.123%.

The effect of Ce on the corrosion behavior of Fe–36Ni Invar alloy was investigated in a 3.5 wt% NaCl solution. The proper addition of Ce enhanced the corrosion resistance. The second-phase particles were gradually transformed in type, size, and number following the addition of Ce, which alleviated the localized corrosion behavior. The appropriate Ce content increased the fraction of low coincident site lattice boundaries. Furthermore, the enhancement of protectiveness and compactness of the passive film was achieved. However, overadded Ce led to the degradation of corrosion resistance. 0.0170 wt% Ce was advised for the sake of the enhancement of corrosion resistance.

In this paper, the as-cast microstructure, microsegregation, precipitates and suitable homogenization process of a novel Ni-based wrought superalloy prepared by vacuum induction melting (VIM) + vacuum arc remelting (VAR) were investigated by optical microscope (OM), scanning electron microscope (SEM), electron probe microanalysis (EPMA), differential scanning calorimetry (DSC), high temperature confocal laser scanning microscope (HT-CLSM) and thermal simulation compression. The results show that severe element segregation exists in the ingot. Nb, Ti and Al are mainly segregated in the interdendritic region, while W is mainly segregated in the dendrite arm. The precipitates in the alloy mainly include non-uniform γ′ strengthening phase, coarse (γ + γ′) eutectic phase and MC carbide, among which, the redissolution temperature range of γ′ phase is 1060–1220 °C; the (γ + γ′) eutectic phase can be redissolved obviously above 1180 °C but melted into liquid at 1250 °C; the redissolution temperature range of MC carbide is 1349–1358 °C, exceeding the solidus temperature of the alloy. After homogenization at 1220 °C/10 h, all the γ′ phase and most of the (γ + γ′) eutectic phase can be redissolved, and the element segregation can be significantly alleviated, moreover, the hot deformation resistance of the alloy is lower and the dynamic recrystallization (DRX) degree is higher, indicating that 1220 °C/10 h is an ideal single-stage homogenization process.

The Cr5/42CrMo and 45#/45# composite rolls had been produced by the electroslag remelting cladding (ESRC) method. The interface bonding mechanism was revealed according to grain and dendrite growth. The dendrites of cladding started an epitaxial growth on the partially melted grains and the grains boundaries of cladding grew following the orientation of the partially melted grains of the roll core, ensuring reliable metallurgical bonding between the cladding and the roll core. The heat treatment included the normalizing, annealing, quenching, and tempering process. During the annealing process, the ferrite zone formed on the roll core side because the C atoms diffused from the roll core of low C content to the cladding of high C content for the activity difference. During the quenching process, C atoms diffused from the cladding to the roll core, and the ferrite zone disappeared which ensured the continuous microhardness. The gradient of elements contents on both sides of the interface led to the distinctive difference in microstructure and properties. After the heat treatment, from the cladding to the roll core, the microstructures changed from martensite + carbides to pearlite + ferrite. Accordingly, the values of the Rockwell hardness (HRC) 53.6 and 25.7, the tensile strength (MPa) 1657 and 879, and the impact toughness (J/cm2) 5 to 54 were achieved in the cladding and roll core, respectively. The composite rolls had the cladding of high hardness and roll core of superior impact toughness that could satisfy the requirement for backup rolls of hot strip mills.

Nowadays, Invar alloy combining low thermal expansion behavior with improved mechanical properties is highly required. This study investigated the influence of Zr-rich intermetallic compounds (IMCs) on microstructure, thermal expansion behavior, and mechanical properties in Fe-36Ni Invar alloy. Zr-rich IMCs, namely Ni7Zr2 and Ni2Zr were introduced into Fe-36Ni Invar alloy by the addition of 0.22 wt% Zr. The microstructure of Zr-containing alloy was remarkably refined and accompanied by high dislocation density, which was associated with the resistance of recrystallization by the introduction of Zr-rich IMCs. The Invar alloy displayed a sufficiently low coefficient of thermal expansion (CTE) in the temperature interval of 20 °C ∼ 100 °C and 20 °C ∼ 200 °C after Zr treatment, with a CTE constant of 0.66 × 10-6 /°C and 2.07 × 10-6 /°C, respectively. The existence of residual stress and refinement of grain were responsible for an obvious decrease in CTE. Meanwhile, the yield strength increased from 256 MPa to 401 MPa after Zr treatment. The strengthening contribution mainly arose from dislocation strengthening and grain refinement strengthening.

Since the wireless mesh network (Mesh) equipment is installed on the high-voltage overhead transmission tower in the field, the broadband wireless mesh network (WMN) must be able to resist potential interference factors against the power communication network (such as nearby co-frequency 802.11 equipment, Microwave ovens, malicious jamming attacks against the power grid, etc.), these potential interferences cause the throughput of 802.11 devices to drop sharply or even fail to work. To this end, this article proposes an anti-jamming technology based on spectrum situational integrated perception, and conducts simulation experiments. The results confirm the feasibility of this technology and can be used to improve the antiinterference ability of 802.11 mesh equipment in the harsh magnetic environment of transmission lines. Ensure the normal operation of the power grid. [ABSTRACT FROM AUTHOR]