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Fabrication modeling of industrial CO2 ionic liquids absorber by artificial neural networks
Yadollah Abdollahi,Nor Asrina Sairi,Mohamed Khereddine Aroua,Hamid Reza Fard Masoumi,Hossein Jahangirian,Yatimah Alias 한국공업화학회 2015 Journal of Industrial and Engineering Chemistry Vol.25 No.-
The fabrication of industrial CO2 blended solution absorber was modeled by artificial neutral network. First the generated model had been statistically evaluated and then its ability of prediction was confirmed by validation test. The validated model was used to predict the desirable density and relative importance of the fabrication’s effective variables. In conclusion, the importance included x[H2O], 36.18%, x[gua], 25.37%, x[MDEA], 25.34% and temperature, 13.11% which showed none of them is negligible as well as the density (g cm3) was validated by further experiment that showed the actual density, 1.101, was quite close to the predicted value, 1.017.
Enhancement of electronic protection to reduce e-waste
Yadollah Abdollahi,Suhana Binti Mohd Said,Nor Asrina Sairi,Mohd Faizul Bin Mohd Sabri,Azmi Zakaria,Ebrahim Abouzari-lotf,Masoumeh Dorraj,Raba’ah Syahidah Aziz 한국공업화학회 2015 Journal of Industrial and Engineering Chemistry Vol.29 No.-
The electronic devices turn to e-waste due to their insufficient electrical protection which is provided bya ceramic core varistor. The ceramic consists of the surrounded ZnO grains of melted an additives layer. The layer is origin of the quality of the protection. To enhance the quality and consequently prevent ewaste,the fabrication of the varistor was modeled by artificial neural network. The model predicted theoptimized condition that was experimentally fabricated and electrically characterized. The resultsconfirmed the model predictability. In conclusion, the optimization which has industrial scales uppotential warranties the electronic protection that controls the global e-waste.