Accelerated learning using Gaussian process models to predict static recrystallization in an Al-Mg alloy
نویسندگان
چکیده
منابع مشابه
Accelerated learning using Gaussian process models to predict static recrystallization in an Al–Mg alloy
This paper describes an investigation into the suitability of Gaussian process models for predicting the microstructure evolution arising from static recrystallization. These methods have the advantage of not requiring a prior understanding of the micromechanical processes. They are wholly empirical and use a Bayesian framework to infer the probability distribution of data, given a ‘training se...
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The evaluation of texture as a function of recrystallization has been characterized for directly cold rolled Al-6Mg, Al-6Mg-0.4Sc and Al-6Mg-0.4Sc-0.2Zr alloys. Samples were annealed isothermally at 400 °C for 1 to 240 minutes to allow recrystallization. Recrystallization kinetics of the alloys is analyzed from the micro-hardness variation. Isothermally annealed samples of aluminum alloys were ...
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The Gaussian process model is an example of a flexible, probabilistic, nonparametric model with uncertainty predictions. It offers a range of advantages for modelling from data and has been therefore used also for dynamic systems identification. One of the noticeable drawbacks of the system identification with Gaussian process models is computation time necessary for modelling. The modelling pr...
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During heat treatment, the work piece experiences a range of heating rates depending upon the sizes and types of furnace. When the Al-Si-Mg cast alloy is heated to the solutionizing temperature , recrystallization takes place during the ramp-up stage. The effect of heating rate on recrystallization in the A356 (Al-Si-Mg) alloy was studied using dilatometric and calorimetric methods. Recrystalli...
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Steel 2205 is one of the most famous duplex stainless steels. The microstructure of this steel composed of ferrite and austenite in similar amount. Therefore, in order to improve mechanical properties through microstructure, thermo mechanical processes such as controlled hot rolling and forging should be applied. It is not possible to employ the usual heat treatment. It shows the importance of ...
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ژورنال
عنوان ژورنال: Modelling and Simulation in Materials Science and Engineering
سال: 2000
ISSN: 0965-0393,1361-651X
DOI: 10.1088/0965-0393/8/5/304