Institution
University of Tabriz
Education•Tabriz, Iran•
About: University of Tabriz is a education organization based out in Tabriz, Iran. It is known for research contribution in the topics: Population & Nanocomposite. The organization has 12141 authors who have published 20976 publications receiving 313982 citations.
Topics: Population, Nanocomposite, Aqueous solution, Nonlinear system, Catalysis
Papers published on a yearly basis
Papers
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01 Jan 2013-Materials Science and Engineering A-structural Materials Properties Microstructure and Processing
TL;DR: In this paper, the effect of hybrid ratio on microstructural, mechanical and tribological properties of the surface hybrid nanocomposites was investigated using optical microscopy and scanning electron microscopy.
Abstract: Hybrid ratio of each reinforcement phase in hybrid composite can be defined as proportion of its volume to total reinforcement volume of the composite. The hybrid ratio is an important factor which controls the participation extent of each reinforcement phase in overall properties of hybrid composites. Hence, in the present work, surface hybrid nanocomposites of Al5083/Graphite p /Al 2 O 3p with different hybrid ratios were fabricated by friction stir processing method. Subsequently, effect of hybrid ratio on microstructural, mechanical and tribological properties of the nanocomposite was investigated. Optical microscopy and scanning electron microscopy were utilized to perform microstructural observation on the samples. Hardness value measurements, tensile and pin on disk dry sliding wear tests were carried out to investigate effect of hybrid ratio on mechanical and tribological properties of the nanocomposites. Microstructural investigations displayed better distribution with less agglomeration of reinforcement for lower volume fraction of reinforcement for both alumina and graphite particles. Hardness value, yield strength, ultimate tensile strength and wear rate of the nanocomposites revealed a two stage form along with hybrid ratio variation. The results are discussed based on microstructural observations of the nanocomposites and worn surface analyses.
88 citations
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TL;DR: The present work evaluates the performance of Gene Expression Programming (GEP) based models for estimating reference evapotranspiration (ET 0) according to temporal and spatial criteria and data set scanning procedures in coastal environments of Iran.
88 citations
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TL;DR: The extraction capability of this ABS was evaluated through its application to the extraction of some amino acids and indicated that hydrophobic interactions were the main driving force, although electrostatic interactions and salting‐out effects were also important for the transfer of the amino acids.
Abstract: In biotechnology, extraction by means of aqueous biphasic systems (ABS) is known as a promising tool for the recovery and purification of bio-molecules. Over the past decade, the increasing emphasis on cleaner and environmentally benign extraction procedures has led to enhanced interest in the ABS containing ionic liquids (ILs)-a new class of non-volatile alternative solvents. ABS composed of the hydrophilic IL {1-butyl-3-methylimidazolium bromide ([C4 mim]Br)} and potassium citrate-which is easily degraded-represents a clean media to green separation of bio-molecules. In this regard, here, the extraction capability of this ABS was evaluated through its application to the extraction of some amino acids. To gain an insight into the driving forces of amino acid partitioning in the studied IL-based ABS, the distribution of five model amino acids (L-tryptophan, L-phenylalanine, L-tyrosine, L-leucine, and L-valine) at different aqueous medium pH values and different phase compositions was investigated. The studies indicated that hydrophobic interactions were the main driving force, although electrostatic interactions and salting-out effects were also important for the transfer of the amino acids. Moreover, based on the statistical analysis of the driving forces of amino acid partitioning in the studied IL-based ABS, a model was established to describe the partition coefficient of three model amino acids, L-tryptophan, L-phenylalanine, and L-valine, and employed to predict the partition coefficient of two other model amino acids, L-tyrosine and L-leucine.
88 citations
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TL;DR: In this article, a cogeneration system based on a methane-fed solid oxide fuel cell (SOFC) integrated with a Stirling engine is analyzed from the viewpoints of energy and exergy.
88 citations
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TL;DR: In this paper, the combination of derivatization and micro-extraction methods for the determination of amines, carboxylic acids, alcohols, and phenols by gas chromatography is reviewed.
Abstract: Gas chromatography (GC) of some organic compounds containing carboxyl, hydroxyl, and amino functional groups is difficult due to their physicochemical properties, such as low volatility, high polarity, and high solubility in water. Furthermore, some compounds are volatile enough but tend to be adsorbed and decomposed on the columns, and readily give tailed peaks, ghosting phenomena, and low detector sensitivity. However, to obtain optimal analysis conditions, appropriate sample preparation that could include an extraction clean-up step or concentration and derivatization procedures is usually essential. Current interest is in techniques that are environment friendly and reduce the cost of analysis by reducing or completely eliminating toxic organic solvents. Hence, microextraction methods have attracted much attention as alternatives to classical extraction and sample-preparation procedures. We review the combination of derivatization and microextraction methods for the determination of amines, carboxylic acids, alcohols, and phenols by GC.
88 citations
Authors
Showing all 12238 results
Name | H-index | Papers | Citations |
---|---|---|---|
Ozgur Kisi | 73 | 478 | 19433 |
Alireza Khataee | 68 | 525 | 20805 |
Mehdi Shahedi Asl | 63 | 197 | 8437 |
Mohammad Hossein Ahmadi | 60 | 477 | 11659 |
Gerard Ledwich | 56 | 686 | 15375 |
Thomas Blaschke | 56 | 348 | 17021 |
Ali Nokhodchi | 55 | 322 | 9087 |
Danial Jahed Armaghani | 55 | 212 | 8400 |
Behnam Mohammadi-Ivatloo | 51 | 482 | 9704 |
Mohammad Norouzi | 51 | 159 | 18934 |
Ebrahim Babaei | 50 | 455 | 10615 |
Abolghasem Jouyban | 50 | 700 | 12247 |
Abolfazl Akbarzadeh | 50 | 253 | 11256 |
Yadollah Omidi | 49 | 294 | 8076 |
Vahid Vatanpour | 47 | 194 | 9313 |