Institution
Iran University of Science and Technology
Education•Tehran, Iran•
About: Iran University of Science and 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 12917 authors who have published 24965 publications receiving 372013 citations. The organization is also known as: Governmental Technical Institute & Advanced Art College.
Papers published on a yearly basis
Papers
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TL;DR: In this paper, a new form of the rule of mixtures, including an exponential shape function, length efficiency parameter, orientation efficiency factor and a waviness parameter, is proposed for a more accurate prediction of the mechanical properties of MWCNT-reinforced epoxy composites, for both low and high wt.% ranges.
137 citations
TL;DR: In this paper, an annular porous structure is installed inside the absorber tube to improve heat transfer and the effects of simultaneous utilization of porous structure and nanoparticle addition on heat transfer, pressure drop, and thermal efficiency of the receiver are investigated for different values of Reynolds number, volume fraction of nanoparticles, inlet temperature and Darcy number of the porous region.
136 citations
TL;DR: In this paper, a hybrid composite of acid treated multi walled carbon nanotubes (MWCNTs) and metal organic framework MIL-101 and denoted as MWCNT@MIL-101 was synthesized.
136 citations
TL;DR: In this article, the effect of reattachment of point on the surface convective heat-load reduction is investigated for different kind of spikes with varying length to diameter ratio, including a cut spike, and a flat and hemispherical aerodisk mounted on the tip of the spike.
136 citations
TL;DR: In this article, a fault classification method for double-circuit transmission lines is presented, which requires voltages and currents of only one side of the protected line to be measured.
Abstract: In this paper, a novel method for fault classification of double-circuit transmission lines is presented. The proposed method needs voltages and currents of only one side of the protected line. After detecting the exact time of fault inception and calculating the odd harmonics of the measured signals, up to the nineteenth, a decision tree algorithm has been employed for recognition of the intercircuit fault type. Also, the proposed method is extended for classification of crossover faults in these transmission lines. Simulation results have shown that the proposed method can classify the faults in less than a quarter of a cycle with the highest possible accuracy.
136 citations
Authors
Showing all 13049 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Peter Hall | 132 | 1640 | 85019 |
| Josep M. Guerrero | 110 | 1197 | 60890 |
| Rahman Saidur | 97 | 576 | 34409 |
| Victor C. M. Leung | 91 | 1585 | 40397 |
| Mehdi Dehghan | 83 | 875 | 29225 |
| Amir H. Gandomi | 67 | 375 | 22192 |
| Toraj Mohammadi | 64 | 394 | 14043 |
| Emil Björnson | 62 | 458 | 17954 |
| Amir A. Zadpoor | 61 | 294 | 11653 |
| Majid R. Ayatollahi | 60 | 373 | 10771 |
| Ali Kaveh | 58 | 753 | 16647 |
| David Andrew Barry | 57 | 462 | 13363 |
| Miguel A. Mariño | 53 | 291 | 8304 |
| Ali Saberi | 51 | 448 | 10959 |
| Ali Maleki | 51 | 376 | 8853 |