Related references
Note: Only part of the references are listed.The ANN application in FEM modeling of mechanical properties of Al-Si alloy
Mohsen Ostad Shabani et al.
APPLIED MATHEMATICAL MODELLING (2011)
Investigation on mechanical properties of nano-Al2O3-reinforced aluminum matrix composites
Ali Mazahery et al.
JOURNAL OF COMPOSITE MATERIALS (2011)
Modeling of the wear behavior in A356-B4C composites
Mohsen Ostad Shabani et al.
JOURNAL OF MATERIALS SCIENCE (2011)
Prediction of wear properties in A356 matrix composite reinforced with B4C particulates
Mohsen Ostad Shabani et al.
SYNTHETIC METALS (2011)
HRTEM and ADF-STEM of precipitates at peak-ageing in cast A356 aluminium alloy
N. Chomsaeng et al.
JOURNAL OF ALLOYS AND COMPOUNDS (2010)
Prediction of mechanical properties of extra deep drawn steel in blue brittle region using Artificial Neural Network
Swadesh Kumar Singh et al.
MATERIALS & DESIGN (2010)
Synthesis and structural characterization of Al-B4C nano-composite powders by mechanical alloying
M. Khakbiz et al.
JOURNAL OF ALLOYS AND COMPOUNDS (2009)
Artificial Neural Network Modeling of Microstructure During C-Mn and HSLA Plate Rolling
Tan Wen et al.
JOURNAL OF IRON AND STEEL RESEARCH INTERNATIONAL (2009)
Prediction of density, porosity and hardness in aluminum-copper-based composite materials using artificial neural network
Adel Mahamood Hassan et al.
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY (2009)
Enhanced properties of Mg-based nano-composites reinforced with Al2O3 nano-particles
M. Habibnejad-Korayem et al.
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING (2009)
Development of high-performance A356/nano-Al2O3 composites
A. Mazahery et al.
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING (2009)
Artificial neural network methodology: Application to predict magnetic properties of nanocrystalline alloys
R. Hamzaoui et al.
MATERIALS SCIENCE AND ENGINEERING B-ADVANCED FUNCTIONAL SOLID-STATE MATERIALS (2009)
The effect of hot isostatic pressing on the fatigue behaviour of sand-cast A356-T6 and A204-T6 aluminum alloys
L. Ceschini et al.
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY (2008)
Effect of SiC concentration and strain rate on the compressive deformation behaviour of 2014A1-SiCp composite
D. P. Mondal et al.
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING (2006)
Artificial neural network modeling for evaluating of epitaxial growth of Ti6Al4V weldment
F. Karimzadeh et al.
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING (2006)
Mechanically alloyed AlN particle-reinforced Al-6061 matrix composites: Powder processing, consolidation and mechanical strength and hardness of the as-extruded materials
J. B. Fogagnolo et al.
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING (2006)
Effect of different types of nano-size oxide particulates on microstructural and mechanical properties of elemental Mg
SF Hassan et al.
JOURNAL OF MATERIALS SCIENCE (2006)
Artificial neural network methods for the estimation of zeolite molar compositions that form from different reaction mixtures
M Tatlier et al.
COMPUTERS & CHEMICAL ENGINEERING (2005)
Enhancing physical and mechanical properties of mg using nanosized Al2O3 particulates as reinforcement
SF Hassan et al.
METALLURGICAL AND MATERIALS TRANSACTIONS A-PHYSICAL METALLURGY AND MATERIALS SCIENCE (2005)
Neural network approach to prediction of bending strength and hardening behaviour of particulate reinforced (Al-Si-Mg)-aluminium matrix composites
N Altinkok et al.
MATERIALS & DESIGN (2004)
Share Paper
