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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TL;DR: Reinforcement learning with a Q-factor algorithm is used to enhance performance of the scheduling method proposed for dynamic job shop scheduling (DJSS) problem which considers random job arrivals and machine breakdowns.
176 citations
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15 May 2008-Materials Science and Engineering A-structural Materials Properties Microstructure and Processing
TL;DR: In this article, the relationship between failure mode and weld fusion zone characteristics (size and microstructure) was studied and it was found that spot weld strength in the pullout failure mode is controlled by the strength and fusion zone size of the galvanized steel side.
Abstract: Resistance spot welding was used to join austenitic stainless steel and galvanized low carbon steel. The relationship between failure mode and weld fusion zone characteristics (size and microstructure) was studied. It was found that spot weld strength in the pullout failure mode is controlled by the strength and fusion zone size of the galvanized steel side. The hardness of the fusion zone which is governed by the dilution between two base metals, and fusion zone size of galvanized carbon steel side are dominant factors in determining the failure mode.
176 citations
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TL;DR: This review presents a comprehensive scientific guide to the effectiveness of flotation strategy and the various aspects of recovery of zinc from these minerals are dealt with here.
176 citations
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TL;DR: In this article, a novel electrospun chitosan/graphene oxide (GO) nanofibrous adsorbent was successfully developed by an electrospinning process.
Abstract: A novel electrospun chitosan/graphene oxide (GO) nanofibrous adsorbent was successfully developed by an electrospinning process. The adsorption behaviors of Cu2+, Pb2+ and Cr6+ metal ions from aqueous solutions using chitosan/GO nanofibers were investigated. The composite nanofibers were characterized by FTIR and SEM and TEM analysis. Kinetic and equilibrium studies showed that the experimental data of Cu2+, Pb2+ and Cr6+ were best described by double-exponential kinetic and Redlich–Peterson isotherm models. The maximum monolayer adsorption capacity of Pb2+, Cu2+and Cr6+ metal ions using chitosan/GO nanofibers was found to be 461.3, 423.8 and 310.4 mg g−1 at an equilibrium time of 30 min and temperature of 45 °C. Evaluation of the thermodynamic parameters (ΔG° 0 and ΔS° > 0) showed that the nature of the metal ions sorption by chitosan/GO nanofibers was endothermic and spontaneous. The reusability studies indicated that the chitosan/GO nanofibers could be reused frequently without almost any significant loss in adsorption performance. This study provides a promising chitosan/GO nanofibrous adsorbent with an efficient adsorption property for heavy metal ions removal.
176 citations
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TL;DR: In this paper, the chitosan/MWCNTs/Fe 3 O 4 composite nanofibrous adsorbent was fabricated by electrospinning process and its application for the removal efficiency of Cr (VI) ions from aqueous solutions was investigated.
175 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 |