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Enhancement of the gas separation properties of polyurethane membrane by epoxy nanoparticles
Ali Pournaghshband Isfahani,Morteza Sadeghi,Amir H. Saeedi Dehaghani,M. Ali Aravand 한국공업화학회 2016 Journal of Industrial and Engineering Chemistry Vol.44 No.-
In this study, we report highly selective CO2 polyurethane incorporated with cured epoxy nanoparticles. PU–epoxy composite membranes were prepared via solution casting method. The obtained SEMmicrographs confirmed the nano-scale distribution of epoxy particles in the polymer matrix. DSC andFTIR spectra showed different phase separation for the PU composites compared to the pure PU. Theeffect of epoxy nanoparticles on the gas permeability of CO2, CH4, O2 and N2 was studied at 25 8C and10 bar. The selectivity of CO2/N2 increased from 25 for the pure PU membrane to 55.5 for the PU–EP10,while the CO2 permeability was unchanged.
Nonlinear large deformation dynamic analysis of electroactive polymer actuators
Amir Ali Amiri Moghadam,Abbas Kouzani,Reza Zamani,Kevin Magniez,Akif Kaynak 국제구조공학회 2015 Smart Structures and Systems, An International Jou Vol.15 No.6
Electroactive polymers have attracted considerable attention in recent years due to their sensing and actuating properties which make them a material of choice for a wide range of applications including sensors, biomimetic robots, and biomedical micro devices. This paper presents an effective modeling strategy for nonlinear large deformation (small strains and moderate rotations) dynamic analysis of polymer actuators. Considering that the complicated electro-chemo-mechanical dynamics of these actuators is a drawback for their application in functional devices, establishing a mathematical model which can effectively predict the actuator’s dynamic behavior can be of paramount importance. To effectively predict the actuator’s dynamic behavior, a comprehensive mathematical model is proposed correlating the input voltage and the output bending displacement of polymer actuators. The proposed model, which is based on the rigid finite element (RFE) method, consists of two parts, namely electrical and mechanical models. The former is comprised of a ladder network of discrete resistive-capacitive components similar to the network used to model transmission lines, while the latter describes the actuator as a system of rigid links connected by spring-damping elements (sdes). Both electrical and mechanical components are validated through experimental results.
Nonlinear Neural-Based Modeling of Soil Cohesion Intercept
Ali Mollahasani,Amir Hossein Alavi,Amir Hossein Gandomi,Azadeh Rashed 대한토목학회 2011 KSCE JOURNAL OF CIVIL ENGINEERING Vol.15 No.5
A new model was derived to estimate undrained cohesion intercept (c) of soil using Multilayer Perceptron (MLP) of artificial neural networks. The proposed model relates c to the basic soil physical properties including coarse and fine-grained contents, grains size characteristics, liquid limit, moisture content, and soil dry density. The experimental database used for developing the model was established upon a series of unconsolidated-undrained triaxial tests conducted in this study. A Nonlinear Least Squares Regression (NLSR) analysis was performed to benchmark the proposed model. The contributions of the parameters affecting c were evaluated through a sensitivity analysis. The results indicate that the developed model is effectively capable of estimating the c values for a number of soil samples. The MLP model provides a significantly better prediction performance than the regression model.
Muhammad Amir,Tahir Fazal,Javed Iqbal,Aamir Alaud Din,Ashfaq Ahmed,Asim Ali,Abdul Razzaq,Zulfiqar Ali,Muhammad Saif Ur Rehman,박영권 한국공업화학회 2022 Journal of Industrial and Engineering Chemistry Vol.115 No.-
The expensive carbonaceous substrates including graphene, reduced graphene oxide, carbon nanotubeshave been coupled with ZnO to improve the properties and photocatalytic performance of carbon basedZnO photocatalysts. To replace these expensive materials, biochar offers as a low-cost alternative to preparebiochar-based photocatalysts. In this study, Calotropis gigantea leaves derived biochar-ZnO (BC-ZnO)composites were synthesized to overcome the ZnO related problems (charge recombination, wider bandgap, and poor visible light absorption). Different BC-ZnO (BCZ-1–3) composites were characterized toevaluate their intrinsic properties and composites were employed to degrade ciprofloxacin (CIP). BCZ-3composite exhibited slower recombination of electron-hole pairs, lower band gap (2.97 eV), and betterlight absorption in visible region than ZnO. The enhanced adsorptive-photocatalytic degradation efficiencywas attained up to 98.5% using BCZ-3 than BC (46.2%) and ZnO (41.4%). The O2 and OH radicalswithin BCZ-3 are dominant reactive species indulged in CIP photocatalytic degradation. BCZ-3 photocatalystexhibits 80% degradation of CIP after four regeneration cycles. The maximum adsorption capacitywas achieved 54.18 mg g1 for BCZ-3 than BC (46.20 mg g1) and ZnO (15.55 mg g1). The results showthat BCZ-X composites can be used as stable, efficient, economical, and sustainable composite for therecovery of pharmaceutical wastewater.
Mirzabe Amir Hossein,Hajiahmad Ali,Fadavi Ali,Rafiee Shahin 한국농업기계학회 2022 바이오시스템공학 Vol.47 No.2
Purpose Due to the advantages of aeroponic compared to other cultivation systems, the advantages of piezoelectric ultrasonic compared to other mist makers, and lack of research done to study the parameters affecting the misting rate of nutrient solutions with the approach used in aeroponic systems, the current work was carried out. Methods The effects of dosage of nutrient solution, voltage, horn diameter, and horn height on the misting rate, circuit current, power consumption, amplitude of sound waves, Δ pH, Δ EC (electrical conductivity), and Δ TDS (total dissolved solids) were investigated. Physical properties of the solution (density, viscosity, surface tension, and speed of sound) were measured. Moreover, optimization was performed to determine suitable ranges of independent variables. Results Obtained results showed that the four mentioned independent variables significantly affect the six dependent variables (P<1%). The misting rate was in the range of 96 to 411.6 g h−1. At the temperature of 25 °C and for different concentrations of fertilizer, the density, surface tension, viscosity, speed of sound in the solution, initial TDS, and initial pH varied between 1002.3– 1004.8 kg m−3, 73.33–74.42 mN m−1, 1.009–1.395 mPa s, 1489–1502 m s−1, 1323–8865 mg L−1, and 6.18–6.84, respectively. Also, theoretically calculated mist mean droplet diameter was in the range of 2.868 to 2.880 μm for different fertilizer doses. Conclusion Mist generation by piezoelectric ceramics is an efficient method for use in aeroponic systems. Although the obtained misting rates in this study differ from the industrial values, the use of several piezoelectric ceramics is the simplest solution to this problem.
High-precision modeling of uplift capacity of suction caissons using a hybrid computational method
Alavi, Amir Hossein,Gandomi, Amir Hossein,Mousavi, Mehdi,Mollahasani, Ali Techno-Press 2010 Geomechanics & engineering Vol.2 No.4
A new prediction model is derived for the uplift capacity of suction caissons using a hybrid method coupling genetic programming (GP) and simulated annealing (SA), called GP/SA. The predictor variables included in the analysis are the aspect ratio of caisson, shear strength of clayey soil, load point of application, load inclination angle, soil permeability, and loading rate. The proposed model is developed based on well established and widely dispersed experimental results gathered from the literature. To verify the applicability of the proposed model, it is employed to estimate the uplift capacity of parts of the test results that are not included in the modeling process. Traditional GP and multiple regression analyses are performed to benchmark the derived model. The external validation of the GP/SA and GP models was further verified using several statistical criteria recommended by researchers. Contributions of the parameters affecting the uplift capacity are evaluated through a sensitivity analysis. A subsequent parametric analysis is carried out and the obtained trends are confirmed with some previous studies. Based on the results, the GP/SA-based solution is effectively capable of estimating the horizontal, vertical and inclined uplift capacity of suction caissons. Furthermore, the GP/SA model provides a better prediction performance than the GP, regression and different models found in the literature. The proposed simplified formulation can reliably be employed for the pre-design of suction caissons. It may be also used as a quick check on solutions developed by more time consuming and in-depth deterministic analyses.