Hardness Study of Carbon Nanotube and Silicon Transistors Under the High Energy Electron Beam Radiation Effect

2018 ◽  
Vol 13 (1) ◽  
pp. 125-131
Author(s):  
Soheil Mahdian Toroghi ◽  
M. T. Ahmadi ◽  
M. M. Golzan ◽  
Rahil Mahdian
Keyword(s):  
Electron Beam ◽  
Carbon Nanotube ◽  
Radiation Effect ◽  
High Energy ◽  
Energy Electron ◽  
High Energy Electron ◽  
Beam Radiation ◽  
Electron Beam Radiation ◽  
Silicon Transistors

scholarly journals Modelling the Stiffness-Temperature Dependence of Resin-Rubber Blends Cured by High-Energy Electron Beam Radiation Using Global Search Genetic Algorithm

Polymers ◽  
2020 ◽  
Vol 12 (11) ◽  
pp. 2652
Author(s):  
Ivan Kopal ◽  
Juliána Vršková ◽  
Alžbeta Bakošová ◽  
Marta Harničárová ◽  
Ivan Labaj ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Electron Beam ◽  
Phenol Formaldehyde ◽  
High Energy ◽  
Global Search ◽  
Energy Electron ◽  
High Energy Electron ◽  
Beam Radiation ◽  
Electron Beam Radiation ◽  
Real Coded Genetic Algorithm

Modelling the influence of high-energy ionising radiation on the properties of materials with polymeric matrix using advanced artificial intelligence tools plays an important role in the research and development of new materials for various industrial applications. It also applies to effective modification of existing materials based on polymer matrices to achieve the desired properties. In the presented work, the effects of high-energy electron beam radiation with various doses on the dynamic mechanical properties of melamine resin, phenol-formaldehyde resin, and nitrile rubber blend have been studied over a wide temperature range. A new stiffness-temperature model based on Weibull statistics of the secondary bonds breaking during the relaxation transitions has been developed to quantitatively describe changes in the storage modulus with temperature and applied radiation dose until the onset of the temperature of the additional, thermally-induced polymerisation reactions. A global search real-coded genetic algorithm has been successfully applied to optimise the parameters of the developed model by minimising the sum-squared error. An excellent agreement between the modelled and experimental data has been found.

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