Results 71 to 80 of about 4,435 (221)
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
Abnormal growth of austenite grain in continuously cast slab during hot charging processes
Journal of Materials Research and TechnologyThe hot charging(HC) experiments for 20CrMo steel were carried out based on the temperature history in the plant, and the evolution of austenite grain structure(AGS) was investigated by optical microscope, scanning electron microscope, transmission ...
Peng Lan, Huasong Liu
doaj +1 more source
Five‐parameter grain boundary analysis of a grain boundary–engineered austenitic stainless steel
Journal of Microscopy, 2009 SummaryTwo different grain boundary engineering processing routes for type 304 austenitic stainless steel have been compared. The processing routes involve the application of a small level of strain (5%) through either cold rolling or uni‐axial tensile straining followed by high‐temperature annealing.
Jones, R. +3 more
openaire +6 more sources
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
Teshugang, 2023 The effects of heating temperature and holding time on the austenite grain growth behavior of SCr420H gear steel samples with different AlN precipitation states were experimentally investigated.
Su Liang, Gong Shuo, Wang Fuming
doaj
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
Prediction of Austenite Recrystallized Grain Size in Hot Rolled Strip of C-Mn Steel
Teshugang, 2005 Based on the research on physical metallurgy prediction model including the model of austenite recrystallization in microstructure evolvement, carbo-nitride precipitation, and relation between austenite phase transformation and structure-properties ...
李壮 +4 more
doaj
Practical Approach for Determining Material Parameters When Predicting Austenite Grain Growth under Isothermal Heat Treatment. [PDF]
Materials (Basel), 2023 Razali MK +5 more
europepmc +1 more source
steel research international, EarlyView.The study investigates the influence of DED‐Arc/M versus casting on the microstructure and material properties of X40CrMoV5‐1 (AISI H13) hot‐work tool steel. DED‐Arc/M yields finer microstructures, superior mechanical strength, and ductility, but slightly reduced thermal conductivity.
Ulf Ziesing +4 more
wiley +1 more source