搜索结果: 1-9 共查到“材料科学 Neural”相关记录9条 . 查询时间(0.031 秒)
2017年神经接口先进生物材料研讨会（Symposium SM3—Advanced Biomaterials for Neural Interfaces）
2017年 神经接口先进生物材料 研讨会
2017/3/9
The convergence of biomaterials and electronic devices provides an intellectual landscape that spans a variety of disciplines including materials science and engineering, physics, chemistry, polymer s...
Application of artificial neural networks in modelling of quenched and tempered structural steels mechanical properties
artificial neural networks modelling quenched structural steels
2010/8/12
The material mechanical properties prediction possibility is valuable for manufacturers and design engineers. That is why over one year ago, in [1] modelling results of normalised
structural steels m...
Neural networks application for modeling carbonizing process in fluidized bed
Surface layer engineering Neuron networks Process modelling Artificial intelligent
2009/12/2
Purpose: This paper presents neural network model used for designing the assumed curve of hardness after carbonizing car drive cross in fluidized bed. This process is very complicated and difficult as...
Application of the artificial neural networks for prediction of magnetic saturation of metallic amorphous alloys
Computational material science Artificial neural networks Amorphous materials
2009/12/2
Purpose: The aim of the work is to employ the artificial neural networks for prediction of magnetic saturation of
the amorphous alloys with the iron and cobalt matrix.
Design/methodology/approach: I...
Neural network application in simulations of composites Al-Al2O3 tribological properties
Computational materials science Composites Infiltration
2009/12/2
Purpose: The purpose of this paper is application of neural networks in tribological properties simulation of
composite materials based on porous ceramic preforms infiltrated by liquid aluminium allo...
Project of neural network for steel grade selection with the assumed CCT diagram
Computational Material Science Artificial Intelligence Methods CCT diagram
2010/2/8
Purpose: The aim of this paper was developing a project of neural network for selection of steel grade with the specified CCT diagram – structure and of harness after heat treatment.
Design/methodolo...
Modelling of hardness prediction of magnesium alloys using artificial neural networks applications
Heat treatment Mechanical properties Artificial neural networks
2010/2/8
Findings: The different heat treatment kinds employed contributed to the improvement of mechanical properties of the alloy with the slight reduction of its plastic properties.
Research limitations/im...
Modelling of properties of the PVD coatings using neural networks
Computational material science PVD coatings Multifractal geometry
2010/2/9
Purpose: The goal of this work is to develop the neural network model for prediction of properties Ti+TiN, Ti+Ti(C,N) and Ti+TiC coatings obtained in the PVD process.
Design/methodology/approach: Neu...
Neural Network Analysis of Tensile Strength of Austempered Ductile Iron
Tensile strength Neural network Austempering
2011/3/11
The neural technique was applied to the analysis of the ultimate tensile strength and additionally the yield strength of austempered ductile iron (ADI). Austempered ductile iron is an excellent materi...