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Mg-P/c-SWCNT Bone Cement: The Effect of Filler on Setting Behavior,Compressive Strength and Biocompatibility

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Journal of Bionic Engineering 2020年第1期17卷 100-112页

作者： Mohammad Hossein Esnaashary Alireza Khavandi Hamid Reza rezaie jafar Javadpour School of Metallurgical and Materials Engineering Iran University of Science and TechnologyNarmakTehran 16844Iran

Improving the strength of bone cement is one of the critical goals in cement designing to maintain their integrity and stabilize connection between the cement and their surrounding tissue during the time that the cement has been replaced by matured bone *** this aim,the authors decided to evaluate setting behavior and compressive strength of Magnesium Phosphate Cement(MPC)by adding carboxylated Single-Walled Carbon Nanotubes(c-SWCNTs)and assess the biocompatibility of the composite *** containing 0 wt%to 0.5 wt% of c-SWCNTs at the Powder to Liquid Ratio(PLR)of 1 g·mL^-1 to 2 g·mL^-1 were *** c-SWCNTs to MPC postponed the setting time of the cement at the beginning of the cementation process and preserved the reaction with a high rate for a longer *** addition,the compressive strength of MPC was enhanced to 28 MPa by adding 0.2 wt%c-SWCNTs because of producing cement with compact and uniform *** addition,cell behavior on MPC with/without c-SWCNTs indicated no cytotoxic effect alongside a suitable adhesion and proliferation of them.

关键词： magnesium phosphate cement carbon nanotube compressive strength MTT bone cement biocompatibility

The Comparative Study of Gelatin/CNT-contained Mg-Ca-P Bone Cement with the Plain and CNT-reinforced Ones

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Journal of Bionic Engineering 2021年第3期18卷 623-636页

作者： Mohammad Hossein Esnaashary Masoud Karfarma Hamid Reza rezaie Alireza Khavandi jafar Javadpour School of Metallurgical and Materials Engineering Iran University of Science and TechnologyNarmakTehran16844Iran

Mimicking compositional and constructional features of the extracellular matrix(ECM)is an effective parameter in improving the biological response of *** this regard,carbon nanotube(CNT)and gelatin were added to magnesium-calcium phosphate cement(CNG)to mimic fibrillar construction and organic composition of ECM,respectively,besides the CNG performance was compared with the plain and CNT-reinforced *** behavior of the cements was investigated by evaluating their setting time,cement composition variation during setting,and viscosity ***,compressive strength,degradation,and cell response of the cements were *** 5 wt.%gelatin reduced setting time about 60%,because of gel formation,not due to struvite ***,the gelatin decreased compressive strength by about 20%.Although gelatin decreased compressive strength,the strength remained in the range attributed to trabecular *** the types of cement indicated shear thinning behavior that made their injectability *** to other types of cement,CNG enhanced proliferation and differentiation of mesenchymal stem cells besides faster degradation,nontoxicity and suitable cell ***,mimicking features of CNG enhanced osteoconductivity and osteoinductivity of the cement compared to the plain one.

关键词： magnesium phosphate cement gelatin carbon nanotube bone mimicking cell response bone cement biomaterials

Nanocrystalline Growth Activation Energy of Zirconia Polymorphs Synthesized by Mechanochemical Technique

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Journal of Materials Science & Technology 2014年第4期30卷 387-393页

作者： Taghi Dallali Isfahani jafar Javadpour Alireza Khav Massoud Goodarzi Hamid Reza rezaie Department of Materials Science and Engineering Golpayegan University of Technology School of Metallurgy and Materials Engineering Iran University of Science and Technology(IUST)

The synthesis of ZrO2 by mechanochemical reaction using ZrCI4 and CaO as raw materials and subsequent annealing of the products were investigated. The effect of thermal treatment on the structural evolution and morphological characteristics of the nanopowders was studied by X-ray diffractometry, Raman spectroscopy, transmission electron microscopy, scanning electron microscopy, differential thermal analysis and Rietveld refinement. The results showed that the average crystallite size of Zr02 was less than 100 nm up to around 1100 ℃. The activation energy for ZrO2 nanocrystallite growth during calcination was calculated to be about 13,715 and 27,333 J/too Mechanism of the nanocrysta for tetragonal （t-ZrO2） and monoclinic （m-Zr02） polymorphs, respectively. ite growth of the ZrO2 polymorphs during annealing is primarily investigated.

关键词： Zirconia nanoparticles Mechanochemical synthesis Characterization methods Activation energy Phase transformation

Conventional *** pseudo-dynamic seismic analyses in the shallow strip footing bearing capacity problem

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Earthquake Engineering and Engineering Vibration 2021年第4期20卷 993-1006页

作者： Ghazal rezaie Soufi Reza Jamshidi Chenari Sina Javankhoshdel Department of Civil Engineering Faculty of EngineeringUniversity of GuilanP.O.3756RashtGuilanIran Rocscience Inc. 54 Saint Patrick St.Toronto M5T 1V1OntarioCanada

The conventional pseudo-dynamic(CPD)and modified pseudo-dynamic(MPD)methods are invoked to obtain the seismic bearing capacity of strip foundations using the limit equilibrium method,with a two-wedge failure mechanism.A spectral version of the conventional pseudo-dynamic method(SPD)is also invoked by considering the ground motion amplification factor,to be a function of the non-dimensional frequencyλ/B and soil *** analyses show that bearing capacity results obtained by the MPD and SPD methods are generally *** experience the same general reduction in bearing capacity with the increase ofλ/B,with successive ups and downs corresponding to soil′s natural *** 5<λ/B<10,SPD and MPD results fluctuated between falling above and below CPD ***λ/B<2.5,SPD and MPD results were consistent with attenuation of the shear wave,while for 10<λ/B,amplification was *** obtained by the CPD method monotonically decrease,due to the fact that CPD fails to inherently consider site effects and damping,and instead and relies on a single factor to consider the ground motion amplification.

关键词： bearing capacity modified pseudo-dynamic method conventional pseudo-dynamic method spectral analysis

Controlling chaos based on a novel intelligent integral terminal sliding mode control in a rod-type plasma torch

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Chinese Physics B 2016年第5期25卷 11-22页

作者： Safa Khari Zahra Rahmani Behrooz rezaie Intelligent Systems Research Group Faculty of Electrical and Computer EngineeringBabol Noshrivani University of Technology

An integral terminal sliding mode controller is proposed in order to control chaos in a rod-type plasma torch *** this method, a new sliding surface is defined based on a combination of the conventional sliding surface in terminal sliding mode control and a nonlinear function of the integral of the system states. It is assumed that the dynamics of a chaotic system are unknown and also the system is exposed to disturbance and unstructured uncertainty. To achieve a chattering-free and high-speed response for such an unknown system, an adaptive neuro-fuzzy inference system is utilized in the next step to approximate the unknown part of the nonlinear dynamics. Then, the proposed integral terminal sliding mode controller stabilizes the approximated system based on Lyapunov＇s stability theory. In addition, a Bee algorithm is used to select the coefficients of integral terminal sliding mode controller to improve the performance of the proposed method. Simulation results demonstrate the improvement in the response speed, chattering rejection, transient response,and robustness against uncertainties.

关键词： chaos rod-type plasma torch intelligent integral terminal sliding mode control Bee algorithm

Ensemble Wind Power Prediction Interval with Optimal Reserve Requirement

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Journal of Modern Power Systems and Clean Energy 2024年第1期12卷 65-76页

作者： Hamid rezaie Cheuk Hei Chung Nima Safari the Saskatchewan Power Corporation(SaskPower) ReginaSaskatchewanCanada the Department of Electrical and Computer Engineering and Department of Human Biology University of TorontoTorontoON M5S 3G4Canada the Alberta Electric System Operator(AESO) CalgaryAlbertaCanada

Wind power prediction interval(WPPI)models in the literature have predominantly been developed for and tested on specific case ***,wind behavior and characteristics can vary significantly across ***,a prediction model that performs well in one case might underperform in *** address this shortcoming,this paper proposes an ensemble WPPI framework that integrates multiple WPPI models with distinct characteristics to improve *** important and often overlooked factor is the role of probabilistic wind power prediction(WPP)in quantifying wind power uncertainty,which should be handled by operating *** reserve in WPPI frameworks enhances the efficacy of *** this regard,the proposed framework employs a novel bi-layer optimization approach that takes both WPPI quality and reserve requirements into *** analysis with different real-world datasets and various benchmark models validates the quality of the obtained WPPIs while resulting in more optimal reserve requirements.

关键词： Ensemble model linear programming operating reserve optimal reserve requirement prediction interval probabilistic prediction renewable integration uncertainty representation wind power prediction(WPP)

Introducing a proper hydrogen liquefaction concept for using wasted heat of thermal power plants-case study: Parand gas power plant

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Chinese Journal of Chemical Engineering 2021年第12期34卷 187-196页

作者： Hamed rezaie Azizabadi Masoud Ziabasharhagh Mostafa Mafi Faculty of Mechanical Engineering K.N.Toosi University of TechnologyTehranIran Department of Mechanical Engineering Imam Khomeini International UniversityQazvinIran

A hydrogen liquefaction concept with an innovative configuration and a capacity of 4 kg·s^(-1)(345.6 t·d^(-1))is *** concept involves an ammonia absorption refrigeration system for the pre-cooling of hydrogen and MR streams from 25℃ to-30℃.The ammonia absorption refrigeration system is fed by exhaust gases of the Pa rand gas power plant that are normally dissipated to the environment with a temperature of 546℃.The simulation is performed by Aspen HYSYS V9.0,using two separate equations of state for simulating hydrogen and MR streams to gain more accurate results especially for ortho-para *** show that conversion enthalpy estimated by Aspen HYSYS,fits very well to the experimental *** the important independent variables and composition of MRs are done using trial and error procedure,a functional and straightforward method for complicated *** minimum temperature limit in the cooling section is lowered,and an ortho-para converter is implemented in this *** proposed concept performs well from energy aspects and leads to COP and SEC equal to 0.271 and 4.54 kW·h·kg^(-1),*** main advantage of this study is in the low SEC,eliminating the losses of the distribution network,and improving the ability of the hydrogen liquefaction for energy storage in off-peak times.

关键词： Hydrogen Liquefaction Absorption refrigeration Waste treatment Mixed-refrigerant Ortho-para conversion

Reinforcement learning for wind-farm flow control:Current state and future actions

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Theoretical & Applied Mechanics Letters 2023年第6期13卷 455-464页

作者： Mahdi Abkar Navid Zehtabiyan-rezaie Alexandros Iosifidis Department of Mechanical and Production Engineering Aarhus UniversityAarhus N8200Denmark Department of Electrical and Computer Engineering Aarhus UniversityAarhus N8200Denmark Centre for Digitalization Big Dataand Data AnalyticsAarhus UniversityAarhus N8200Denmark

Wind-farm flow control stands at the forefront of grand challenges in wind-energy *** central issue is that current algorithms are based on simplified models and,thus,fall short of capturing the complex physics of wind farms associated with the high-dimensional nature of turbulence and multiscale wind-farm-atmosphere *** learning(RL),as a subset of machine learning,has demonstrated its effectiveness in solving high-dimensional problems in various domains,and the studies performed in the last decade prove that it can be exploited in the development of the next generation of algorithms for wind-farm flow *** review has two main ***,it aims to provide an up-to-date overview of works focusing on the development of wind-farm flow control schemes utilizing RL *** examining the latest research in this area,the review seeks to offer a comprehensive understanding of the advancements made in wind-farm flow control through the application of RL ***,it aims to shed light on the obstacles that researchers face when implementing wind-farm flow control based on *** highlighting these challenges,the review aims to identify areas requiring further exploration and potential opportunities for future research.

关键词： Wind-farm flow control Turbine wakes Power losses Reinforcement learning Machine learning

A Solution of the DGLAP Equation for Gluon Distribution as a Function of F2 and dF2/dlnQ^2 at Low x： the Next-to-Leading Order Analysis

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Chinese Physics Letters 2006年第2期23卷 324-327页

作者： G. R. Boroun B. rezaie Department of Physics Razi University Kermanshah 67149 Iran

We obtain a solution of the DGLAP equation to extract the gluon distribution function from the deep inelastic structure function F2 and its derivative with respect to In Q^2 at low x in the next-to-leading order of perturbation theory. The values of the gluon distribution are found in the range 10^- 4 ≤ x ≤ 10^-2 at Q^2 = 20 GeV^2, We test its validity by comparing it with that of Glueck, Reya and Vogt. The detailed analysis is given for the HERA data.

关键词： F2 BEHAVIOR PROTON