Results 61 to 70 of about 846 (168)
Teshugang, 2005 According to the solubility product theory of second phase in austenite, Ostward ripening theory, grain size control theory and precipitation strengthening theory, the probability for formation of inclusions in austenite and the inclusion size control ...
雍岐龙 +4 more
doaj
Influence of Ti(C,N) precipitates on austenite growth of micro-alloyed steel during continuous casting [PDF]
China Foundry, 2017 Austenite grain size is an important influence factor for ductility of steel at high temperatures during continuous casting. Thermodynamic and kinetics calculations were performed to analyze the characteristics of Ti(C,N) precipitates formed during the ...
Liu Yang, Yang Li, Zheng-liang Xue
doaj +1 more source
Analysis of Corrosion and Wall Perforation in the Heat Exchanger Made of AISI 316L Stainless Steel
Materials and Corrosion, EarlyView.Elevated passivation temperature is identified as the dominant factor triggering localized corrosion and subsequent perforation of AISI 316L heat exchanger tubes. Electrochemical and complementary characterization results show that the alloy retains high resistance to general, pitting, and intergranular corrosion, indicating that failure primarily ...
Bojana Radojković +7 more
wiley +1 more source
Study on the Nucleation and Growth of Pearlite Colony and Impact Toughness of Eutectoid Steel
Metals, 2019 The relationship between microstructure parameters and mechanical properties was studied in this paper. The steel was heat-treated at different austenitizing temperatures to acquire varying microstructure.
Fei Zhang +4 more
doaj +1 more source
Metals, 2020 Friction and wear performance of austenite stainless steels have been extensively studied and show a close relationship with the friction-induced martensitic transformation.
Bo Mao, Shuangjie Chu, Shuyang Wang
doaj +1 more source
Influence of Strain Rate on the Strain Hardening Behavior of a Lean Duplex Stainless Steel
MetalMat, EarlyView.The aim of this study was to examine how strain rate influences the compressive strain‐hardening behavior of a lean duplex stainless steel LDX 2101. Microstructural analysis using electron backscatter diffraction (EBSD) revealed a strain‐induced austenite‐to‐martensite transformation.
Akilakpa Sawyerr +4 more
wiley +1 more source
Materials Genome Engineering Advances, EarlyView.A symbolic regression approach (SISSO) with physics‐informed feature engineering achieves high‐accuracy prediction of magnetic properties in Cu‐based alloys under data‐scarce conditions. The framework offers an interpretable and transferable strategy for accelerated alloy design.
Buyang Ma +6 more
wiley +1 more source
Transferable Hot‐Deformation Flow‐Curve Modeling Across Steels Through Transfer Learning
Materials Genome Engineering Advances, EarlyView.We propose a transferable sequence model that moves steel hot‐deformation ML beyond the “one‐case, one‐model” paradigm. Pretrained across compositions/windows and personalized with four extreme‐condition curves, it improves accuracy and robustness in 10‐fold evaluation.
Changqing Shu +9 more
wiley +1 more source
steel research international, EarlyView.The study investigates the influence of heat treatment and scan rotation on the microstructure of a modified H13 tool steel manufactured using laser powder bed fusion. Key findings include the refinement of prior austenite grains (PAGs) due to recrystallization and carbide pinning, and the significant impact of scan rotation on the size distribution of
Negar Panahi +3 more
wiley +1 more source
steel research international, EarlyView.To support future alloy development a powder mixture is processed by laser additive manufacturing. The powder mixture containing Mo‐ and W‐rich tracers is processed by powder bed fusion using single and double laser exposure and by directed energy deposition which provides drastically enlarged melt pools.
Felix Großwendt +2 more
wiley +1 more source