Institution
Amirkabir University of Technology
Education•Tehran, Iran•
About: Amirkabir University of Technology is a education organization based out in Tehran, Iran. It is known for research contribution in the topics: Nonlinear system & Finite element method. The organization has 15254 authors who have published 31165 publications receiving 487551 citations. The organization is also known as: Tehran Polytechnic & Tehran Polytechnic University.
Topics: Nonlinear system, Finite element method, Fuzzy logic, Artificial neural network, Nanocomposite
Papers published on a yearly basis
Papers
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01 Jun 2020
Abstract: Oil spills are one of the most serious problems which have a negative effect on our environment especially on the marine ecosystem. Thus, water/oil separation is considered as an important process to eliminate the oily pollutants. In the current study, a super-hydrophilic and super-oleophobic filter was prepared by in situ synthesis of chitosan/acrylamide hydrogel on the cotton fabric as a substrate. Different concentrations of chitosan and acrylamide monomers, cross-linking agent (MBA), and thermal initiator (APS) were tested by the Design Expert 7.0.0 Central Composite (CCD) software and the water absorption capacity of hydrogels were evaluated by a tea-bag method. The optimum concentration of MBA and APS was measured 0.03 g and 0.1 g, respectively. The optimal hydrogel-based filter was characterized by FTIR and SEM tests. The results confirm the successful synthesis of chitosan/acrylamide hydrogel with a porous structure on the cotton fabric. In addition, according to the results of the swelling study, the optimal synthesized hydrogel has high water retention capacity with a great stability in the seawater-simulated medium. Moreover, contact angle measurement and water/oil separation test demonstrate the super-hydrophilic/oleophobic behavior and high efficiency and durability of filter for water/oil separation.
105 citations
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TL;DR: In this article, the authors used gelatin and bioactive glasses (BaGs) to create a scaffold material with excellent biocompatibility, bioactivity, biodegradability and toughness.
105 citations
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TL;DR: In this article, the Flory−Huggins interaction parameters have been calculated using measured activities, the effect of temperature, molecular weight of PEG and its concentration, and volume change upon mixing on interaction parameter have been considered.
Abstract: Activities of water are reported for aqueous solutions of poly(ethylene glycol) (PEG) with number average molecular weights of 300, 400, 4000, and 6000 are measured at 35, 45, 55, and 65 °C and at various concentrations from 0 to 40 wt % of PEG using vapor-pressure osmometery. A cubic equation in terms of PEG concentrations is sufficient for correlation of activities. Using measured activities, the Flory−Huggins interaction parameters have been calculated. The effect of temperature, molecular weight of PEG and its concentration, and volume change upon mixing on interaction parameter have been considered. Ignoring the volume change of mixing can lead to an average error of 2.5% with a maximum error of 5.3%.
105 citations
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TL;DR: In this paper, group method of data handling (GMDH) type neural networks optimized using genetic algorithms (GAs) were used to model the effects of effective cone point resistance (qE) and cone sleeve friction (fs) as input parameters on pile unit shaft resistance, applying some experimentally obtained training and test data.
105 citations
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TL;DR: A new composition is developed to produce a new bioactive nanocomposite which is porous with three-dimensional (3D) inter-connected microstructure, pore sizes are 200–500 μm, porosity are 72–86% and BaG nanoparticles are dispersed evenly among cross-linked gelatin matrices.
105 citations
Authors
Showing all 15352 results
Name | H-index | Papers | Citations |
---|---|---|---|
Ali Mohammadi | 106 | 1149 | 54596 |
Mehdi Dehghan | 83 | 875 | 29225 |
Morteza Mahmoudi | 83 | 334 | 26229 |
Gaurav Sharma | 82 | 1244 | 31482 |
Vladimir A. Rakov | 67 | 459 | 14918 |
Mohammad Reza Ganjali | 65 | 1039 | 25238 |
Bahram Ramezanzadeh | 62 | 352 | 12946 |
Muhammad Sahimi | 62 | 481 | 17334 |
Niyaz Mohammad Mahmoodi | 61 | 218 | 10080 |
Amir A. Zadpoor | 61 | 294 | 11653 |
Mohammad Hossein Ahmadi | 60 | 477 | 11659 |
Goodarz Ahmadi | 60 | 778 | 17735 |
Maryam Kavousi | 59 | 258 | 22009 |
Keith W. Hipel | 58 | 543 | 14045 |
Danial Jahed Armaghani | 55 | 212 | 8400 |