Baku, Azerbaijan

Azerbaijan State Oil Academy

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Baku, Azerbaijan

Azerbaijan State Oil Academy ) is an institution in Baku, Azerbaijan. Wikipedia.


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Abdulagatov I.M.,Russian Academy of Sciences | Azizov N.D.,Azerbaijan State Oil Academy
Journal of Chemical Thermodynamics | Year: 2014

Densities of (water + 1-propanol) mixtures have been measured over the temperature range from 298 K to 582 K and at pressures up to 40 MPa using the constant-volume piezometer immersed in a precision liquid thermostat. The measurements were made for six compositions of (0.869, 2.465, 2.531, 7.407, 14.377, and 56.348) mol · kg-1 of 1-propanol. The expanded uncertainty of the density, pressure, temperature, and concentration measurements at the 95% confidence level with a coverage factor of k = 2 is estimated to be 0.06%, 0.05%, 15 mK, and 0.015%, respectively. The derived volumetric properties such as excess (VmE), apparent (VΦ), and partial (V̄2) molar volumes were calculated using the measured values of density for the mixture and for pure components (water and 1-propanol). The concentration dependences of the apparent molar volumes were extrapolated to zero concentration to yield the partial molar volumes of 1-propanol at infinite dilution (V̄2). The temperature, pressure, and concentration dependence of density and derived properties of the mixture were studied. All experimental and derived properties (excess, apparent, and partial molar volumes) were compared with the reported data by other authors. The small and negative values of excess molar volume for the mixtures were found at all experimental temperatures, pressures, and over the entire concentration range. The excess molar volume minimum is found at concentration about 0.4 mole fraction of 1-propanol. The concentration minimum of the derived apparent molar volumes VΦ near the 2.5 mol · kg-1 (dilute mixture) was observed. © 2013 Elsevier Ltd. All rights reserved.


Ibragimov N.Y.,Azerbaijan State Oil Academy
Chemical and Petroleum Engineering | Year: 2016

The influence of temperature drops on the stability of the silicate coating of a pipe is investigated. Formulas for use in calculating the heat resistance of a coating are presented. © 2016 Springer Science+Business Media New York


Gasanov A.A.,Azerbaijan State Oil Academy
Journal of Water Chemistry and Technology | Year: 2016

The technology of liquid extraction treatment of wastewaters of the paint and varnish production facility using a three-stage spray extractor has been developed for the removal of butylglycol, phenyl isopropanol, acetic acid, and acetylacetone using isopropyl ether as an extractant. A mathematical model of extraction is presented that takes into account the hydrodynamics of countercurrent liquid flows, the mass transfer and mass exchange of liquid phases for each component. The differential cell model is applied to determine optimal parameters of the process, calculate basic dimensions of the spray extractor, and propose a three-stage process flowsheet with the minimum consumption of extractant at the ratio 1: 15 in relation to wastewater. © 2016, Allerton Press, Inc.


Baharova A.,Azerbaijan State Oil Academy
Lecture Notes in Engineering and Computer Science | Year: 2014

This article presents energy system calculation of automobile plant supplying from thermal power center (TPC) with certain strength. The purpose of this calculation is correct selection of the energy system equipment according to the given parameters of the plant and preparing the electric supplying scheme of the plant. The power supplying TPC is such a kind of electric power stations that produces not only electric energy, but also, heat energy for the inner part of the plant. From this point of view, the coefficient of efficiency of such stations is more than 80%. Produced electric power is supposed to be transferred to industry establishments, distributed and used with high economy and effectiveness. Correct structure of the electric supplying system in industry establishments has great importance in providing the necessary capacity and relevant quality of electric energy to industry objects, mountings, devices and mechanisms by the power systems. The calculation of the electric loads of the plant and the ways of choosing efficient voltage of the supply net are represented in this article. The article provides information about location of the main step-down substation (MSDSS) in the plant territory that are used for lowering the voltage from stepup sub-station and conveying it to the consumers, its constructive structure and choosing the number, power and types of transformers for placing within it. It is impossible to imagine power supply schemes without conductive electric lines and cables. Choosing of electric transmission lines, switchgears for opening and closing circuit and types of protecting apparatuses relevant to the calculated short circuit current are given here. In former times, it was not possible to analyze the power supply scheme before the scheme construction; with the help of available new software, it is possible now. From this point of view, ETAP program was used and it is more effective for the analysis of the schemes.


Gardashova L.A.,Azerbaijan State Oil Academy
Studies in Fuzziness and Soft Computing | Year: 2016

In real life, imperfect information is commonly present in all the components of the decision-making problem. In decision-making problems, a DM is almost never provided with perfect, that is, ideal decision-relevant information to determine states of nature, outcomes, probabilities, utilities, etc. We are known that relevant information almost always comes imperfect. Imperfect information is information in which one or more respects are imprecise, uncertain, incomplete, unreliable, vague, or partially true [1]. Two main concepts of imperfect information are imprecision and uncertainty. Imprecision is one of the widest concepts including variety of cases. We will discuss uncertainty concepts of imperfect information and its application for problem modeling of decision maker. In the first stage of the modeling, the identification determinants of a decision maker was implemented using Delphi method. The aim of the second stage consisted of the linguistic evaluation of the factors. At the final stages, decision-maker model was realized by using possibility–probability-based method and Dempster–Shafer theory-based model. © Springer International Publishing Switzerland 2016.


Abdulagatov I.M.,Russian Academy of Sciences | Azizov N.D.,Azerbaijan State Oil Academy
Fuel | Year: 2011

Isobaric heat capacity of rocket propellant (RP-1 fuel) has been measured with a vacuum adiabatic calorimeter immersed in a precision liquid thermostat. Measurements were made in the temperature range from 293 to 671 K and at pressures up to 60 MPa. The uncertainty of heat capacity, pressure, and temperature measurements were estimated to be 2-2.5%, 0.05%, and 15 mK, respectively. The measured values of heat capacity were compared with the values calculated from a surrogate mixture model (equation of state, EOS). The average absolute deviation (AAD) between the present data and the values calculated with EOS was 0.81%. © 2010 Elsevier Ltd. All rights reserved.


Aliev R.A.,Joint MBA Program | Alizadeh A.V.,Azerbaijan University | Huseynov O.H.,Azerbaijan State Oil Academy
Information Sciences | Year: 2015

Real-world information is imperfect and is usually described in natural language (NL). Moreover, this information is often partially reliable and a degree of reliability is also expressed in NL. In view of this, L.A. Zadeh suggested the concept of a Z-number as a more adequate concept for description of real-world information. A Z-number is an ordered pair Z = (A; B) of fuzzy numbers A and B used to describe a value of a random variable X, where A is an imprecise estimation of a value of X and B is an imprecise estimation of reliability of A. The main critical problem that naturally arises in processing Z-numbers-based information is computation with Z-numbers. The general ideas underlying computation with continuous Z-numbers (Z-numbers with continuous components) is suggested by the author of the Z-number concept. However, as he mentions, "Problems involving computation with Z-numbers is easy to state but far from easy to solve". Nowadays there is no arithmetic of Z-numbers suggested in the existing literature. Taking into account the fact that real problems are characterized by linguistic information which is, as a rule, described by a discrete set of meaningful linguistic terms, in our study we consider discrete Z-numbers. We suggest theoretical aspects of such arithmetic operations over discrete Z-numbers as addition, subtraction, multiplication, division, square root of a Z-number and other operations. The validity of the suggested approach is demonstrated by a series of numerical examples. © 2014 Elsevier Inc. All rights reserved.


Abdulagatov I.M.,Russian Academy of Sciences | Akhmedova-Azizova L.A.,Azerbaijan Technical University | Azizov N.D.,Azerbaijan State Oil Academy
Fluid Phase Equilibria | Year: 2014

Densities of binary water+ethanol and ternary water+ethanol+LiNO3 mixtures have been measured over the temperature range from 298K to 448K and at pressures up to 40MPa using the constant-volume piezometer immersed in a precision liquid thermostat. The measurements for water+ethanol mixture were made for four compositions of 0.0163, 0.0343, 0.0730, and 0.0946mol fraction of ethanol. The measurements for thernary water+ethanol+LiNO3 mixtures were performed in the same temperature and pressure ranges for twelve concentrations. The combined expanded uncertainty of the density, pressure, temperature, and concentration measurements at the 95% confidence level with a coverage factor of k=2 is estimated to be 0.06%, 0.05%, 20mK, and 0.015%, respectively. The derived volumetric properties such as excess (VmE), apparent (VΦ), and partial (V-2∞) molar volumes were calculated using the measured values of density for the binary water+ethanol mixture and for pure water and ethanol. The small and negative values of excess molar volume for the mixtures were found at all experimental temperatures, pressures, and over the entire concentration range. The excess molar volume minimum is found at concentration about 0.4mol fraction of 1-propanol. The concentration minimum of the derived apparent molar volumes VΦ near 2molkg-1 (dilute mixture) was observed. © 2014 Elsevier B.V.


Abdulagatov I.M.,Russian Academy of Sciences | Azizov N.D.,Azerbaijan State Oil Academy
Fuel | Year: 2010

Density of rocket propellant (RP-1 fuel) has been measured with a constant-volume piezometer immersed in a precision liquid thermostat. Measurements were made in the temperature range from 301 to 745 K and at pressures up to 60 MPa. The uncertainty of density, pressure, and temperature measurements were estimated to be 0.1%, 0.05%, and 15 mK, respectively. The measured values of density were compared with the data reported in the literature and with the values calculated from a surrogate mixture model (equation of state). The average absolute deviation (AAD) between the present data and the values reported in the literature was 0.13%. © 2009 Elsevier Ltd. All rights reserved.


Aliev R.,Azerbaijan State Oil Academy | Tserkovny A.,Dassault Systemes
Information Sciences | Year: 2011

L.A. Zadeh, E.H. Mamdani, M. Mizumoto, et al., R.A. Aliev and A. Tserkovny have proposed methods for fuzzy reasoning in which antecedents and consequents involve fuzzy conditional propositions of the form "If x is A then y is B", with A and B being fuzzy concepts (fuzzy sets). A formulation of fuzzy antecedent/consequent chains is one of the most important topics within a wide spectrum of problems in fuzzy sets in general and approximate reasoning, in particular. From the analysis of relevant research it becomes clear that for this purpose, a so-called fuzzy conditional inference rules comes as a viable alternative. In this study, we present a systemic approach toward fuzzy logic formalization for approximate reasoning. For this reason, we put together some comparative analysis of fuzzy reasoning methods in which antecedents contain a conditional proposition with fuzzy concepts and which are based on implication operators present in various types of fuzzy logic. We also show a process of a formation of the fuzzy logic regarded as an algebraic system closed under all its operations. We examine statistical characteristics of the proposed fuzzy logic. As the matter of practical interest, we construct a set of fuzzy conditional inference rules on the basis of the proposed fuzzy logic. Continuity and stability features of the formalized rules are investigated. © 2010 Elsevier Inc. All rights reserved.

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