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A three-dimensional polyhedral unit model for grain boundary structure in fcc metals

npj Computational Materials 2017年第1期3卷 361-373页

作者： arash dehghan banadaki Srikanth Patala Department of Materials Science and Engineering North Carolina State UniversityRaleighNCUSA

One of the biggest challenges in developing truly bottom-up models for the performance of polycrystalline materials is the lack of robust quantitative structure-property relationships for *** a first step in analyzing such relationships,we present a polyhedral unit model to classify the geometrical nature of atomic packing along grain *** the atomic structure in disordered systems has been a topic of interest for many decades,geometrical analyses of grain boundaries has proven to be particularly challenging because of the wide range of structures that are possible depending on the underlying macroscopic crystallographic *** this article,we propose an algorithm that can partition the atomic structure into a connected array of three-dimensional polyhedra,and thus,present a three-dimensional polyhedral unit model for grain boundaries.A point-pattern matching algorithm is also provided for quantifying the distortions of the observed grain boundary polyhedral *** polyhedral unit model is robust enough to capture the structure of high-Σ,mixed character interfaces and,hence,provides a geometric tool for comparing grain boundary structures across the five-parameter crystallographic *** the obtained polyhedral units circumscribe the voids present in the structure,such a description provides valuable information concerning segregation sites within the grain *** anticipate that this technique will serve as a powerful tool in the analysis of grain boundary *** polyhedral unit model is also applicable to a wide array of material systems as the proposed algorithm is not limited by the underlying lattice structure.

关键词： enough boundary structure

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Intelligent non-linear modelling of an industrial winding process using recurrent local linear neuro-fuzzy networks

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Journal of Zhejiang University-Science C(Computers and Electronics) 2012年第6期13卷 403-412页

作者： Hasan ABBASI NOZARI Hamed dehghan banadaki Mohammad MOKHTARE Somayeh HEKMATI VAHED Department of Mechatronics Faculty of EngineeringIslamic Azad UniversityScience and Research BranchTehranIran

This study deals with the neuro-fuzzy (NF) modelling of a real industrial winding process in which the acquired NF model can be exploited to improve control performance and achieve a robust fault-tolerant system. A new simulator model is proposed for a winding process using non-linear identification based on a recurrent local linear neuro-fuzzy (RLLNF) network trained by local linear model tree (LOLIMOT), which is an incremental tree-based learning algorithm. The proposed NF models are compared with other known intelligent identifiers, namely multilayer perceptron (MLP) and radial basis function (RBF). Comparison of our proposed non-linear models and associated models obtained through the least square error (LSE) technique (the optimal modelling method for linear systems) confirms that the winding process is a non-linear system. Experimental results show the effectiveness of our proposed NF modelling approach.

关键词： Non-linear system identification Recurrent local linear neuro-fuzzy (RLLNF) network Local linear model tree(LOLIMOT) Neural network (NN) Industrial winding process

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Effect of alumina and silica nanocomposite based on polyacrylamide on light and heavy oil recovery in presence of formation water using micromodel

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Petroleum 2024年第2期10卷 338-353页

作者： Ashkan Maleki Behnam Sedaee Alireza Bahramian Sajjad Gharechelou Nahid Sarlak arash Mehdizad Mohammad reza Rasaei Aliakbar dehghan Science and Research Branch Islamic Azad UniversityIran Institute of Petroleum Engineering School of Chemical EngineeringUniversity of TehranIran School of Geology College of ScienceUniversity of TehranIran Department of Chemistry Lorestan University Iran Iranian Offshore Oil Company Iran

Increasing world request for energy has made oil extraction from reservoirs more *** novel EOR methods have been proposed and utilized for this *** nanocomposites in chemical flooding is one of these novel *** this study,we investigated the impact of six injection solutions on the recovery of light and heavy oil with the presence of two different brines as formation water using a homogenous glass *** of the injection solutions were based on a 40,000 ppm Na Cl synthetic seawater(SSW),one of which was additive free and the others were prepared by dispersing nanocomposite silica-based polyacrylamide(NCSP),nanocomposite alumina-based polyacrylamide(NCAP),the combination of both nanocomposites silica and alumina based on polyacrylamide(NCSAP),surfactant(CTAB)and polyacrylamide(PAM)with a concentration of 1000 ppm as *** Stability of nanocomposites was tested against the salinity of the brine and temperature using salinity and DSC tests which were *** stability tests,IFT,contact angle and oil recovery measurements were *** results revealed that in addition to the effect of silica and alumina nanocomposite in reducing interfacial tension and wettability alteration,control of mobility ratio caused a major improvement in sweeping efficiency and oil *** to the sweeping behavior of injected fluids,it was found that the main effect of surfactant was wettability alteration,for polyacrylamide was mobility control and for nanocomposites was the reduction of interfacial tension between oil and injected fluid,which was completely analyzed and checked ***,NCSAP with 95.83%and 70.33%and CTAB with 84.35%and 91%have the highest light oil recoveries at 250,000 ppm and 180,000 ppm salinity,respectively which is related to the superposition effect of interactions between nanocomposites,solution and *** on our results it can be concluded that the most effective mechanism in oil recovery was I

关键词： Enhanced oil recovery Micromodel Polyacrylamide Nanocomposite Salinity Alumina and silica nanoparticles

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Experimental analysis of Tuned Liquid Damper （TLD） for high raised structures

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Journal of Civil Engineering and Architecture 2009年第5期3卷 40-45页

作者： S. arash Sohrabi Samad dehghan Islamic Council of East Azerbaij＇an Province-Consultant Iranian National Retrofitting Center-north West Branch

Tuned liquid damper is one the passive structural control ways which has been used since mid 1980 decade for seismic control in civil engineering. This system is made of one or many tanks filled with fluid, mostly water that installed on top of the high raised structure and used to prevent structure vibration. In this article we will show how to make seismic table contain TLD system and analysis the result of using this system in our structure. Results imply that when frequency ratio approaches 1 this system can perform its best in both dissipate energy and increasing structural damping. And also results of these serial experiments are proved compatible with Hunzer linear theory behavior.

关键词： TLD seismic table structural system Hunzer linear behavior

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Intelligent non-linear modelling of an industrial winding process using recurrent local linear neuro-fuzzy networks

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Frontiers of Information Technology & Electronic Engineering 2012年第9期 701-701页

作者： Hasan Abbasi Nozari Hamed dehghan banadaki Mohammad Mokhtare Somayeh Hekmati Vahed

关键词： NF Intelligent non-linear modelling of an industrial winding process using recurrent local linear neuro-fuzzy networks

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