توجه: محتویات این صفحه به صورت خودکار پردازش شده و مقاله‌های نویسندگانی با تشابه اسمی، همگی در بخش یکسان نمایش داده می‌شوند.
۱Combustion and Pressure Drop Characteristics of Natural Gas and Hydrogen hybrid
نویسنده(ها): ،
اطلاعات انتشار: هشتمین همایش ملی انرژی، سال
تعداد صفحات: ۷
This study focused on pressure drop, combustion properties, and surround effects of hydrogen injection into natural gas mixture. It will be clear that the admixture of hydrogen in the natural gas grid may have no adverse effects. Injection of hydrogen might change the behaviour of natural gas mixtures considerably and so influence on the pressure drop and combustion properties of gas mixture. In this paper the change of pressure drop and combustion properties of hydrogen addition into three various natural gas mixtures has been calculated and considered. The results showed that in many fields, hydrogen addition leads to better condition for mixture behaviour but in other ones are undesirable.<\div>

۲AN EFFICIENT METHOD FOR ESTIMATION OF HYDROCARBONS VAPORIZATION ENTHALPY ACCORDING TO THE BOILING TEMPERATURE AND CRITICAL POINTS
اطلاعات انتشار: اولین همایش ملی فناوری های نوین در شیمی و مهندسی شیمی، سال
تعداد صفحات: ۶
The heat of vaporization of a pure liquid at its normal boiling temperature is a very important property in many chemical processes. In this work, a newempirical method was developed to predict vaporization enthalpy of pure hydrocarbons. This equation is a function of boiling temperature, reducedtemperature, and critical pressure. The presented model is simple to use and provides an improvement over the existing equations for more than 300 purehydrocarbons in wide boiling range. The results show that the proposed correlation is more accurate than the literature methods for pure hydrocarbons in wide boiling range<\div>

۳A Neural Network Approach to Predict Heat Capacity of Ionic Liquids
نویسنده(ها): ، ،
اطلاعات انتشار: هفتمین کنگره ملی مهندسی شیمی، سال
تعداد صفحات: ۸
The heat capacity of ionic liquids is of special importance in engineering applications being required in calculations of energy transfer and thermodynamics. In this study heat capacity of different types of ionic liquids are modeled by using an artificial neural network (ANN) based onback–propagation method. A reliable database including more than 3600 experimental data of heat capacity is used for testing and training of ANN. The designed neural network can predict the heat capacity of ionic liquids used in this work with average absolute relative deviation percent of 2.95.<\div>

۴An Efficient Method for Calculating Natural Gas Viscosity
اطلاعات انتشار: هفتمین کنگره ملی مهندسی شیمی، سال
تعداد صفحات: ۸
In recent years, there has been an increase of interest in the flow of gas at relatively high pressures and temperatures. The energy losses calculations in the flow of gases in conduits, as well as through the porous media constituting natural petroleum reservoirs, requires knowledge of theviscosity of the fluid at the pressure and temperature involved. This work presents a new empirical correlation for calculating viscosity of natural gas mixtures. The empirical modelderived from 2870 experimental data of viscosity at different temperatures and pressures. Also the model can predict viscosity of natural gas accurately for variety ranges pseudo reduced pressure from 0.01 to 21 and pseudo reduced temperatures from 1 to 3. The accuracy of the new model iscompared to mostly used empirical models used in this work. The results showed that the new empirical correlation has 0.88% of average absulte relative deviation percent (AARD%) relative to experimental data. The comparison indicates the superiority of the new method in simplicity and low deviation relative to other methods used in this work for calculating of natural gas viscosity<\div>

۵An Efficient Method for Predicting Natural Gas Compressibility Factor
نویسنده(ها): ،
اطلاعات انتشار: هفتمین کنگره ملی مهندسی شیمی، سال
تعداد صفحات: ۷
This study presents a new empirical model for quick calculating compressibility factor of natural gas. The model derived from 2918 experimental data of natural gascompressibility factors presented in this study. The new empirical correlation can acculately predict natural gas compressibility factors at variety ranges of pseudo reduced pressure from 0.01 to 15 and pseudo reduced temperatures from 1 to 3. The accuracy of model is compared to commonly usedempirical methods used in this work. Results showed that the new proposed correlation has 0.847 of AARD% relative to experimental data. The comparison indicates the superiority of the new method over the other methods used to calculate natural gas compressibility factors<\div>

۶Preparation and Characterization of Carbon Molecular Sieve Membranes for Water Treatment
نویسنده(ها): ، ،
اطلاعات انتشار: هفتمین کنگره ملی مهندسی شیمی، سال
تعداد صفحات: ۴
A novel composite carbon molecular sieving membranes (CMSM) consisting of an activated carbon and phenolic resin, applicable to water treatment, was fabricated by carbonization and thermal deposition. The selectivities of these membranes are much higher than those typicallyfound with polymeric materials, and the selectivities are achieved without sacrificing productivity.In this study, the carbon molecular sieve membranes are made from activated carbon powdermixed with solution of novolac phenolic resin. The obtained material was dispersed by ultrasonic and pressed at two levels of high pressure and then raw disks are carbonized at 850 ̊C. The carbonization treatments were done on two kinds of carbon disks; with and without coating. The membranes were characterized using Scanning Electron Microscopy (SEM). The images revealed more uniform porous structure for the membranes produced at higher pressure.<\div>

۷Effect of Temperature on Methane Adsorption by Granular Activated Carbon
اطلاعات انتشار: هفتمین کنگره ملی مهندسی شیمی، سال
تعداد صفحات: ۸
An experimental study was performed to determine the amount of methane adsorption by various granular activated carbon (GAC) at temperatures of 15, 25 and 35 ̊C. To carry out the experiments, a volumetric method was used up to pressure of 800 Psia. The methane adsorption capacity ofthree different granular activated carbon has been measured and the adsorption isotherm of each adsorbent has been provided at different temperatures. Also the adsorption isotherms of three different activated carbon are compared at constant temperature. The results showed that theamount of adsorption of GAC1 higher than GAC2 and GAC3 because of its high BET surface area. It is worth nothing that by increasing temperature, the amount of methane adsorption was decreased for three granular activated carbon used in this work<\div>

۸A new generalized model for predict speed of sound of refrigerants
اطلاعات انتشار: Journal of Chemical and Petroleum Engineering، پنجاهم،شماره۱، ، سال
تعداد صفحات: ۷
In consideration of physical and chemical properties of pure substances, speed of sound is one of important quantity which can used to calculate many of other thermo–physical properties such as isothermal compressibility, Joule–Thomson coefficient, isobaric heat capacity and etc. These thermo–physical properties are the main parameters in industrial and chemical processes. Development of accurate models for thermodynamic properties computation such as speed of sound is well expected above all in those fields where very high performance calculations have to be reached. In this present work, a new generalized model as a function of reduced temperature and reduced density is proposed to correlate speed of sound of methane, ethane, propane and butane halogenated refrigerants. Speed of sounds have been calculated and compared with data reported in literatures for 5600 data points of 28 refrigerants, and the overall average absolute percentage deviation of 0.92%. The source of speed of sound data used in this study is the NIST Chemistry WebBook.
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