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Babol, Iran

Mazandaran University of Science and Technology is a private university in Babol, Iran.Mazandaran University of Science & Technology is a research university located in the city of Babol in the province of Mazandaran 15 km away from Caspian Sea. MUST was established in 1992 as the first private university under the accreditation of the Ministry of Science, Research and Technology by members of its founder committee;Mr. Morteza Haji, Mr. Mirmehdi Seyyedesfahani, Mr. Ahmad Nourian, Mr. Abbasali Soleimani, Mr. Hassan Asgarinejhad, Mr. Mohsen Nariman, Mr. Hossein Ramzanianpur, Mr. Alireza Saffarian and Mr. Yusef AsgarinejhadIt offers degrees in Industrial Engineering, Computer Engineering, Information Technology, Electrical Engineering, Civil Engineering and other subjects, as well as MBA. Wikipedia.

Kasaai M.R.,Mazandaran University of Science and Technology
Carbohydrate Polymers | Year: 2012

Hydrodynamic volume, radius of gyration, and viscometric constants, K and a, for dextran, with a wide molecular weight range were calculated using experimental reported average-molecular weights (M n, M w), and intrinsic viscosity, [η], data in water and 0.05 M Na 2SO 4. Degree of chain branching for dextran was also determined using different procedures. This study demonstrated that hydrodynamic volume and radius of gyration of a dextran sample with M w < 20 kDa and its linear counterpart with equal M w are almost identical, whereas the latter parameters for a dextran sample with M w > 20 kDa was smaller than that of its linear counterpart. Values of 0.506 in water and 0.512, 0.425 and 0.273 in 0.05 M Na 2SO 4 for the exponent a were obtained. A smaller value for a was obtained for a larger M w range. Molecular weights of desirable nano-particles for various branches of nanotechnology can be estimated from a derived radius of gyration-molecular weight relationship. © 2011 Elsevier Ltd All rights reserved. Source

Soolaki M.,Mazandaran University of Science and Technology
International Journal of Industrial and Systems Engineering | Year: 2013

Flexible manufacturing systems (FMS) consist of some multi functional machines that are linked together through material-handling system and the whole of the system control by a central computer. One of the most important problems in production planning of FMS is machine tool selection and operation allocation problem that directly influences the production costs and times. Here, a novel 0-1 linear integer programming model is presented in such a way that each part and each tool can move during the production phase. The objective of this model is to determine a machine-tool combination for each operation of the part type. The objective function calculates some production costs, such as machining costs, setup costs, material-handling costs, tool movement costs and maximum transformation times. This paper uses an elitist multi-objective evolutionary algorithm based on the non-dominated sorting genetic algorithm-II (NSGA-II), for solving the dynamic machine tool selection and operation allocation problem in FMS. Experimental results indicate effectiveness of the proposed algorithm for solving the problem. Copyright © 2013 Inderscience Enterprises Ltd. Source

Asadollahi-Baboli M.,Mazandaran University of Science and Technology
Analytical Methods | Year: 2013

The 71 constituents of essential oil (EO) of bay leaves were identified with gas chromatography-mass spectrometry (GC-MS) by applying a similarity search between the obtained mass spectra and database. This number was increased to 131 constituents with the help of different chemometric resolution techniques. Multivariate curve resolution-alternating least squares (MCR-ALS) is used to obtain pure chromatograms and mass spectra for the constituents present in each overlapping/embedded peaks cluster as well as their relative concentrations. Other chemometric methods such as simple to use interactive self-modeling mixture analysis (SIMPLISMA), morphological score (MS) and Fixed Size Moving Window Evolving Factor Analysis (FSMWEFA) were used to determine the number of constituents, pure variables, zero concentration and selective regions. The most important constituents of the Iranian bay leaves are linalool (12.31%), 1,8-cineole (11.38%), α-terpineol acetate (7.71%), eugenol methyl ether (6.87%) and α-phellandrene (4.30%). Despite previous studies, chemometric resolution techniques were implemented as a necessary step for the comprehensive analysis of the volatile constituents of bay leaves. © 2013 The Royal Society of Chemistry. Source

Nasirian S.,University of Mazandaran | Nasirian S.,Mazandaran University of Science and Technology | Milani Moghaddam H.,University of Mazandaran
International Journal of Hydrogen Energy | Year: 2014

Polyaniline (emeraldine)/anatase TiO2 nanocomposite (PA-NC) was prepared by a chemical oxidative polymerization. The thin films of PA-NC for hydrogen gas sensing application were deposited on Cu-interdigited electrodes by spin coating technique. A study on characteristics of PA-NC thin films was demonstrated by a porous cylindrical morphology. The response and response/recovery time of sensors for hydrogen gas were evaluated by the change of TiO2 wt% at environmental conditions. Resistance-sensing measurement was exhibited a high sensitivity about 1.63, a good Long-term response, low response time and recovery time about 83 s and 130 s, respectively, at 0.8 vol% hydrogen gas for PA-NC including 25% wt of anatase nanoparticles. The current-voltage characteristics of PA-NC gas sensors before and after hydrogen gas injection showed a nonlinear ohmic current. Moreover, we studied the formation of PA-NCs and their hydrogen gas sensing mechanism based on contact regions in PA-NC. Copyright © 2013, Hydrogen Energy Publications, LLC. Published by Elsevier Ltd. All rights reserved. Source

Forouharfard S.,Mazandaran University of Science and Technology
International Journal of Advanced Manufacturing Technology | Year: 2010

Using cross-docking system is a new strategy to improve responding time to customers with transferring items directly from receiving trucks to shipping trucks without being held in storage at warehouse. This paper studies the scheduling of receiving and shipping trucks in cross-docking systems which have a temporary storage in front of shipping dock and items can be held temporarily in storage until the appropriate shipping truck comes. The objective is to find the best sequence of receiving and shipping trucks to minimize the total number of products that pass trough temporary storage because decreasing inventory or eliminating storage is the way to reduce costs. These kinds of problem are complex. Therefore, we develop an imperialistic competitive algorithm (ICA) approach to tackle complexity. The results of this algorithm are compared with the best known genetic algorithm (GA) results that are obtained in the same time. The results show that ICA outperformed GA. © 2010 Springer-Verlag London Limited. Source

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