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- 저자 : Babakhani, Behrouz (검색결과 6 건)
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Mode shape identification using response spectrum in experimental modal analysis
Babakhani, Behrouz,Rahami, Hossein,Mohammadi, Reza Karami Techno-Press 2018 Structural monitoring and maintenance Vol.5 No.3
The set of processes performed to determine the dynamic characteristics of the constructed structures is named experimental modal analysis. Using experimental modal analysis and interpreting its results, structural failure can be assessed and then it would be possible to plan for their repair and maintenance. The purpose of the experimental modal analysis is to determine the resonance frequencies, mode shapes and Mode damping for the structure. Diverse methods for determining the shape of the mode by various researchers have been presented. There are pros and cons for each of these methods. This paper presents a method for determining the mode shape of the structures using the response spectrum in the experimental modal analysis. In the first part, the principles of the proposed method are described. Then, to check the accuracy of the results obtained from the proposed method, single and multiple degrees of freedom models were numerically and experimentally investigated.
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Minkowski's Inequality for Variational Fractional Integrals
Babakhani, Azizollah Department of Mathematics 2020 Kyungpook mathematical journal Vol.60 No.2
Minkowski's inequality is one of the most famous inequalities in mathematics, and has many applications. In this paper, we give Minkowski's inequality for generalized variational integrals that are based on a supermultiplicative function. Our results include previous results about fractional integral inequalities of Minkowski's type.
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Novel Intelligent-Based Gravity Control for Industrial Robot Arm
Abdol Reza Babakhani,Esmail Moradi,Mohammad Salooki,Rouholla Fakhraie 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.1
According to this research, a new intelligent-based parallel gravity controller is proposed for industrial robot arm. All model-base conventional controllers are related to dynamic model of systems especially in uncertain systems. To solve this challenge intelligent theory and partly linear methodology are play important role. Fuzzy logic theory is used to estimate the nonlinear dynamic part of robot manipulator and to improve the fuzzy performance PD gravity is used. To estimate the 2 DOF robot manipulator system’s dynamic, proportional plus modified derivative with 7 rules Mamdani inference system is design and applied to modified PD gravity methodology. The proportional coefficient of controller is tuned by new methodology in limitation uncertainties. The results demonstrate that the proposed controller is a partly model-free controllers which works well in certain and partly uncertain system.
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Predicting the Coming Energy of IRAN Using Alternative Energy Planning Simulation
Mohsen Jalalimajidi,S. M. Seyedhosseini,Masoud Babakhani,Ahmad Makui 대한산업공학회 2018 Industrial Engineeering & Management Systems Vol.17 No.1
The main focus of this paper involves determining Iran’s energy system features, acknowledging energy modeling approaches by making a good scenario for the developing countries and developing scenarios using these confirmed models for simulating the transfer of energy compatible with the environment. This approach which is carried out through the multi-purpose optimization proposes an alternative to design an energy system based on the economic and environmental norms. In addition this paper mentions the chances and the consequences of transferring the replaceable energies and the potential paths to come. Thus, determining and modeling of the energy system is dealt with and the required strategic program to solve the country’s energy system problems are shown through the basic structure, the mixed program framework and the practical & case studies so as to prepare the scenarios to transfer the renewable energies Iran. These scenarios are based on the present economy depending upon the fossil fuel, and the aims of government for an economic future relying more on the renewable energies. This paper also tries to predict the plans for the country’s future energy using the alternative energy planning systems (such as simulator application of LEAP). At the end of the paper, analyzing the data and the conclusions is done.
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Size dependence on reduction kinetic of iron based Fischer–Tropsch catalyst
Ali Nakhaei Pour,Mohammad Reza Housaindokht,Ensieh Ganji Babakhani,Mohammad Irani,Seyed Mehdi Kamali Shahri 한국공업화학회 2011 Journal of Industrial and Engineering Chemistry Vol.17 No.3
Catalyst structure has a significant influence on its kinetic behavior. In this work, effect of nanoparticle size on reduction kinetics of iron FTS catalyst [0] has been studied. Fe/Cu/La catalysts were prepared via bulk precipitation and microemulsion methods to produce a series of iron oxides with different particle size. In microemulsion method, the catalyst particle size was changed with type of surfactant such as SDS, Triton X-100, and SDBS. Size dependence on reduction rate constant (kr) was evaluated using the formation and growth of nuclei model (3D). The results showed that when the catalyst particle size increased, the reduction rate of iron catalyst decreased. A value of 3.11 nm and 0.53 h1were obtained for h parameter and size independent part of reduction rate constant (k1), which are consistent with the values reported in literatures.
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Kinetics study of CO hydrogenation on a precipitated iron catalyst
Ali Nakhaei Pour,Mohammad Reza Housaindokht,Jamshid Zarkesh,Mohammad Irani,Ensieh Ganji Babakhani 한국공업화학회 2012 Journal of Industrial and Engineering Chemistry Vol.18 No.2
The kinetics of the gas–solid Fischer–Tropsch synthesis over a precipitated Fe/Cu/La/SiO2 catalyst was studied in a well mixed, continuous spinning basket reactor. A wide range of synthesis gas conversions have been obtained by varying experimental conditions. Several Langmuir–Hinshelwood–Hougen–Watson type rate equations were derived based on detailed sets of possible reaction mechanisms originating from the carbide, enolic and combined enol/carbide mechanisms. Three models for the Fischer–Tropsch reaction rate were fitted to the experimental reaction rates. Kinetic parameters of models are determined using the genetic algorithm approach (GA), followed by the Levenberg–Marquardt (LM) method to make refined optimization, and are validated by means of statistical analysis. Simulations using the optimal kinetic models derived showed good agreement with experimental data.
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