Determination of Ms Temperature in Steels: A Bayesian Neural Network Model
スポンサーリンク
概要
- 論文の詳細を見る
The knowledge of the martensite start (Ms) temperature of steels is sometimes important during parts and structures fabrication, and it can not be always properly estimated using conventional empirical methods. The additions in newly developed steels of alloying elements not considered in the empirical relationships, or with compositions out of the bounds used to formulate the equations, are common problems to be solved by experimental trial and error. If the trial process was minimised, cost and time might be saved. This work outlines the use of an artificial neural network to model the calculation of Ms temperature in engineering steels from their chemical composition. Moreover, a physical interpretation of the results is presented.
- 社団法人 日本鉄鋼協会の論文
- 2002-08-15
著者
-
Caballero F.
Department Of Physical Metallurgy Centro Nacional De Investigaciones Metalurgicas (cenim)
-
De Andres
Department Of Physical Metallurgy Centro Nacional De Investigaciones Metalurgicas (cenim)
-
Capdevila C.
Department Of Physical Metallurgy Centro Nacional De Investigaciones Metalurgicas (cenim)
-
Capdevila C.
Department Of Materials Science And Metallurgy University Of Cambridge
-
GARCIA C.
Department of Physical Metallurgy, Centro Nacional de Investigaciones Metalurgicas (CENIM)
-
Garcia C.
Department Of Physical Metallurgy Centro Nacional De Investigaciones Metalurgicas (cenim)
関連論文
- Neural Network Model for Isothermal Pearlite Transformation. Part II : Growth Rate
- Neural Network Model for Isothermal Pearlite Transformation. Part I : Interlamellar Spacing
- An Attempt to Establish the Variables That Most Directly Influence the Austenite Formation Process in Steels
- Modelling of Kinetics of Austenite Formation in Steels with Different Initial Microstructures
- Modelling of Kinetics of Isothermal Allotriomorphic and Idiomorphic Ferrite Formation in Medium Carbon Vanadium-Titanium Microalloyed Steel
- Time-Temperature-Transformation Diagram within the Bainitic Temperature Range in a Medium Carbon Steel
- The Role of Inclusions and Austenite Grain Size on Intragranular Nucleation of Ferrite in Medium Carbon Microalloyed Steels
- Austenite Grain Size Effects on Isothermal Allotriomorphic Ferrite Formation in 0.37C-1.45Mn-0.11V Microalloyed Steel
- Grain Boundary Mobility in Fe-Base Oxide Dispersion Strengthened PM2000 Alloy
- Ultra-high-strength Bainitic Steels
- Determination of Ms Temperature in Steels: A Bayesian Neural Network Model
- Cigarette Smoking Increases the Risk of Root Canal Treatment