Month: December 2022

De Bortoli, A. L. published the artcileModeling and simulation of a turbulent jet diffusion flame of a biodiesel surrogate composed of MD, n-Hept, MC and EtOH, Application In Synthesis of 110-42-9, the main research area is biodiesel surrogate turbulent jet diffusion flame modeling simulation.

The more properties of biodiesel one wishes to represent, the more complex the surrogate mixture becomes. Often the aim is to represent the H/C and O/C ratios and mol. weight using a small number of pure components. In this article, a turbulent jet diffusion flame of a biodiesel surrogate, composed of 50% Me Decanoate, 40% n-heptane, 9% Me crotonate and 1% ethanol is modeled and simulated. The strategy used is to apply the Directed Relation Graph technique for a first reduction, and Layerless Neural Network to define the main chain and obtain a skeletal mechanism. The results obtained for temperature and mass fractions of CO2, CO and H2O agree reasonably with literature data for a mechanism of 147 reactions and 45 species. The small number of species facilitates the simulation of the coupling between turbulence and chem. kinetics, a desirable feature of reduced mechanisms.

Fuel published new progress about Biodiesel fuel. 110-42-9 belongs to class esters-buliding-blocks, name is Methyl decanoate, and the molecular formula is C11H22O2, Application In Synthesis of 110-42-9.

Referemce:
Ester – Wikipedia,
Ester – an overview | ScienceDirect Topics

Alviso, Dario published the artcileChemical kinetic mechanism for diesel/biodiesel/ethanol surrogates using n-decane/methyl-decanoate/ethanol blends, Product Details of C11H22O2, the main research area is diesel biodiesel ethanol n decane methyl decanoate chem kinetic.

Abstract: Diesel-biodiesel-ethanol blends have been the focus of research in engines, as biodiesel and ethanol additives can lower pollutant emissions while maintaining diesel performance. To facilitate modeling and anal., those complex fuels are often substituted by simplified surrogate fuels, composed of only a few well-characterized mols., but displaying similar properties compared to the fuel that they represent. In this context, the objective of this paper is to develop and validate a new chem. reaction mechanism for diesel-biodiesel-ethanol surrogate fuels. n-Decane and methyl-decanoate (MD) were chosen as the diesel and biodiesel surrogates, resp., as they are frequently used in the literature. As the available reduced methyl-decanoate models do not reproduce the neg. temperature coefficient behavior found in auto-ignition delay experiments, the detailed MD model of Dievart et al. was reduced using DRGEP. This last model was then combined with the reduced n-decane model due to Chang et al. and that of ethanol due to Marinov. Validations are performed on 0D constant-volume auto-ignition by comparing auto-ignition delay times and 1D freely propagating gaseous premixed flame configurations by analyzing laminar flame speeds, using the original single component kinetic models, against the combined surrogate kinetic models, and exptl. results found in the literature. Laminar flame speeds of n-decane/methyl-decanoate/ethanol blends are also presented.

Journal of the Brazilian Society of Mechanical Sciences and Engineering published new progress about Biodiesel fuel. 110-42-9 belongs to class esters-buliding-blocks, name is Methyl decanoate, and the molecular formula is C11H22O2, Product Details of C11H22O2.

Referemce:
Ester – Wikipedia,
Ester – an overview | ScienceDirect Topics

Zaki, Ayman H. published the artcileSodium titanate nanotubes for efficient transesterification of oils into biodiesel, Product Details of C9H18O2, the main research area is sodium titanate nanotube oil biodiesel transesterification; Cooked oil; FAME; Heterogeneous catalyst; Kinetics; Mechanism; Modeling.

In this work, sodium titanate nanotubes were prepared by a hydrothermal method for 23 h at 160°C and characterized by high-resolution transmission electron microscopy (HRTEM), field emission SEM (FESEM), X-ray diffraction (XRD), Brunauer-Emmett-Teller (BET) methods, and Fourier transform IR (FT-IR) spectroscopy. The obtained nanotubes were used as catalysts in the transesterification of pure and cooked oils under different exptl. conditions (molar ratio, temperature, catalyst weight, and time). The catalyst showed high efficiency depending on the chosen conditions. The biodiesel yield was found to be 95.9% at 80°C for 2 h. The catalyst also showed high activity for cooked oil conversion, with yields of 96.0, 96.0, and 93.58% for the first, second, and third uses of oil, resp. The methanol was recycled and used in another transesterification experiment, and the biodiesel yield reached 91%. D. functional theory, Monte Carlo simulation, and mol. dynamics simulation were employed to clearly understand the transesterification mechanism. The transesterification reaction is represented by a pseudo-first-order kinetics model. [Figure not available: see fulltext.].

Environmental Science and Pollution Research published new progress about Biodiesel fuel. 111-11-5 belongs to class esters-buliding-blocks, name is Methyl octanoate, and the molecular formula is C9H18O2, Product Details of C9H18O2.

Referemce:
Ester – Wikipedia,
Ester – an overview | ScienceDirect Topics

Oprescu, Elena-Emilia published the artcileSynthesis and evaluation of levulinic ester as biodiesel additives, COA of Formula: C7H12O3, the main research area is TiO2 La2O3 levulinic ester biodiesel additive.

In this study, the SO42-/TiO2-La2O3-Fe2O3 catalyst was prepared and tested in the conversion of fructose to Et levulinate. The catalyst was characterized from the point of view of the textural anal., FT-IR anal., acid strength distribution, X-ray powder diffraction and pyridine adsorption IR spectra. The influence of the reaction parameters on the Et levulinate yield was study. The maximum yield of 37.95% in levulinate esters was obtained at 180°C, 2 g catalyst and 4 h reaction time. The effect of Et levulinate addition to diesel-biodiesel blend in different rates, i.e, 0.5, 1, 2.5, 5 (w.t %) on d., kinematic viscosity and flash point was evaluated and compared with the European specification.

Revista de Chimie (Bucharest, Romania) published new progress about Biodiesel fuel. 539-88-8 belongs to class esters-buliding-blocks, name is Ethyl 4-oxopentanoate, and the molecular formula is C7H12O3, COA of Formula: C7H12O3.

Referemce:
Ester – Wikipedia,
Ester – an overview | ScienceDirect Topics

Florido, Priscila M. published the artcileStudy of FAME model systems: Database and evaluation of predicting models for biodiesel physical properties, Computed Properties of 110-42-9, the main research area is biodiesel FAME system database evaluation predicting model.

The present paper reports a viscosity and d. unpublished database of systems formed for fatty acid Me esters (FAMEs), leading to 426 exptl. data points of each property. Kay’s mixing rule and Grunberg-Nissan equation were used to estimate data and the group contribution models GC-VOL and GC-UNIMOD were used to predict d. and viscosity, resp. For surface tension, parameters of a Wilson modified equation were adjusted and tested in systems with composition similar to biodiesel. D. estimations resulted in global average relative deviations (ARD) of 0.02%, 0.07% and 0.15% for Kay’s mixing rule weighted in mass and molar fractions, and GC-VOL model, resp. For viscosities, GC-UNIMOD was the most accurate model with global ARD of 5.17%. The surface tension prediction resulted in global ARD minor than 7.00%. These results are an important tool to improve the biodiesel production, its modeling and simulation.

Renewable Energy published new progress about Biodiesel fuel. 110-42-9 belongs to class esters-buliding-blocks, name is Methyl decanoate, and the molecular formula is C11H22O2, Computed Properties of 110-42-9.

Referemce:
Ester – Wikipedia,
Ester – an overview | ScienceDirect Topics

Florido, Priscila M. published the artcileStudy of FAME model systems: Database and evaluation of predicting models for biodiesel physical properties, Product Details of C23H46O2, the main research area is biodiesel FAME system database evaluation predicting model.

The present paper reports a viscosity and d. unpublished database of systems formed for fatty acid Me esters (FAMEs), leading to 426 exptl. data points of each property. Kay’s mixing rule and Grunberg-Nissan equation were used to estimate data and the group contribution models GC-VOL and GC-UNIMOD were used to predict d. and viscosity, resp. For surface tension, parameters of a Wilson modified equation were adjusted and tested in systems with composition similar to biodiesel. D. estimations resulted in global average relative deviations (ARD) of 0.02%, 0.07% and 0.15% for Kay’s mixing rule weighted in mass and molar fractions, and GC-VOL model, resp. For viscosities, GC-UNIMOD was the most accurate model with global ARD of 5.17%. The surface tension prediction resulted in global ARD minor than 7.00%. These results are an important tool to improve the biodiesel production, its modeling and simulation.

Renewable Energy published new progress about Biodiesel fuel. 929-77-1 belongs to class esters-buliding-blocks, name is Methyl docosanoate, and the molecular formula is C23H46O2, Product Details of C23H46O2.

Referemce:
Ester – Wikipedia,
Ester – an overview | ScienceDirect Topics

Florido, Priscila M. published the artcileStudy of FAME model systems: Database and evaluation of predicting models for biodiesel physical properties, Recommanded Product: Methyl octanoate, the main research area is biodiesel FAME system database evaluation predicting model.

The present paper reports a viscosity and d. unpublished database of systems formed for fatty acid Me esters (FAMEs), leading to 426 exptl. data points of each property. Kay’s mixing rule and Grunberg-Nissan equation were used to estimate data and the group contribution models GC-VOL and GC-UNIMOD were used to predict d. and viscosity, resp. For surface tension, parameters of a Wilson modified equation were adjusted and tested in systems with composition similar to biodiesel. D. estimations resulted in global average relative deviations (ARD) of 0.02%, 0.07% and 0.15% for Kay’s mixing rule weighted in mass and molar fractions, and GC-VOL model, resp. For viscosities, GC-UNIMOD was the most accurate model with global ARD of 5.17%. The surface tension prediction resulted in global ARD minor than 7.00%. These results are an important tool to improve the biodiesel production, its modeling and simulation.

Renewable Energy published new progress about Biodiesel fuel. 111-11-5 belongs to class esters-buliding-blocks, name is Methyl octanoate, and the molecular formula is C9H18O2, Recommanded Product: Methyl octanoate.

Referemce:
Ester – Wikipedia,
Ester – an overview | ScienceDirect Topics

da Silva, Juliana Quierati published the artcileLight biodiesel from macaub́a and palm kernel: Properties of their blends with fossil kerosene in the perspective of an alternative aviation fuel, Quality Control of 111-11-5, the main research area is biodiesel Acrocomia aculeate blend fossil kerosene fuel property.

Oil either from macaub́a (Acrocomia aculeate) and palm (Elaeis guineensis) fruit kernel was transesterified with methanol through the classical reaction with homogeneous alk. catalyst. The produced fatty acid Me esters (FAME) were further fractionated via atm. distillation as a step to obtain enriched fractions in short-mol. chain esters, ranging from C8 to C14, in a perspective to be blended with the conventional mineral jet fuel (Jet A-1). In this report, such blends of light biodiesels with Jet A-1 kerosene are described for their d., distillation fractions according to the temperature, structure changes under thermal treatments, by thermogravimetry and differential calorimetry analyses, f.p., flash point, and calorific value. The blends corresponding to 5, 10 and 20 vol% in enriched short-chain esters with kerosene revealed values well within the recommended limits by the ASTM D1655. Light biodiesels, which are rich in lauric acid (C12:0) Me esters are suitable to be blended with the Jet A-1 kerosene up to at least 5 vol%. Those blends could produce virtually very similar fuels, regarding the main tech. standard properties, to the conventional fossil kerosene for jet engines, particularly concerning the moisture content, the d., its behavior in distillation and the flash point.

Renewable Energy published new progress about Biodiesel fuel. 111-11-5 belongs to class esters-buliding-blocks, name is Methyl octanoate, and the molecular formula is C9H18O2, Quality Control of 111-11-5.

Referemce:
Ester – Wikipedia,
Ester – an overview | ScienceDirect Topics

Hosseini, Sayed Mostafa published the artcileViscosities of some fatty acid esters and biodiesel fuels from a rough hard-sphere-chain model and artificial neural network, Formula: C10H20O2, the main research area is viscosity fatty acid ester biodiesel fuel; rough hard sphere chain model artificial neural network.

This work addresses the prediction of dynamic viscosities of several fatty acid esters and biodiesel fuels using a semi-theor. model and artificial neural network as well. The semi-theor. model used rough hard-sphere theory for the correlation and prediction of dynamic viscosities. In this respect, a smooth hard-sphere-chain expression and a coupling parameter of translational-rotational motions were employed to develop the rough hard-sphere-chain scheme. The three mol. parameters as well as the liquid densities required in this model were taken from previously developed perturbed Yukawa-chain equation of state (Fluid Phase Equilibrium, 372 (2014) 105-112). Artificial neural network modeling employed a multilayer perceptron comprising one hidden layer and 21 neurons, managed according to the constructive approach. The performance of both semi-theor. and ANN model were checked by predicting dynamic viscosities over the temperature range within 283-393 K and pressures up to 140 MPa with the average absolute relative deviation of 3.10% (for 648 data points) and 0.91% (for 796 data points), resp. The ANN model developed herein, was trained, validated and tested for the set of data gathered, pointing that the efficiency of the neural network model was found excellent on the entire dataset.

Fuel published new progress about Biodiesel fuel. 106-32-1 belongs to class esters-buliding-blocks, name is Ethyl octanoate, and the molecular formula is C10H20O2, Formula: C10H20O2.

Referemce:
Ester – Wikipedia,
Ester – an overview | ScienceDirect Topics

Ramalingam, Selvakumar published the artcileInfluence of Moringa oleifera biodiesel-diesel-hexanol and biodiesel-diesel-ethanol blends on compression ignition engine performance, combustion and emission characteristics, Name: Methyl octanoate, the main research area is Moringa biodiesel hexanol ethanol blend ignition engine performance.

In the current work, the influences of Moringa oleifera biodiesel-diesel-hexanol and Moringa oleifera biodiesel-diesel-ethanol blends on compression ignition engine characteristics were exptl. investigated. Experiments were conducted on a diesel engine at 0%, 25%, 50%, 75% and 100% load conditions run at a constant speed of 1500 rpm. The results revealed that B90-D5-H5 acquired the lowest BSFC and maximum BTE of 0.375 kg kW-1 h-1 and 28.8%, resp., and B100 had the highest BSFC of 0.425 kg kW-1 h-1. B90-D5-H5 had the highest cylinder peak pressure of 74 bar at 4°CA aTDC. The maximum heat release rate (HRR) and longer ignition delay (ID) period of 44 J per °CA and 14.4°CA, resp., were attained in the B90-D5-H5 blend. At 100% load condition, the lowest amount of carbon monoxide (CO) of 0.32% volume was acquired in the B80-D5-E15 blend. The maximum nitric oxide (NO) emission of 1090 ppm was also acquired in the B80-D5-E15 blend. B100 had the lowest NO of 846 ppm; B80-D5-E15 had the lowest unburned hydrocarbon (UBHC) emission of 34 ppm at 100% load and the lowest smoke opacity of 34%. Biodiesel-diesel-alc. blends improve engine performance and decrease emissions compared to the conventional diesel. The utilization of biodiesel-diesel-alc. blends reduces the consumption of diesel. Hence, ethanol and hexanol are recommended as potential alternative additives in biodiesel-diesel blends to improve engine performance and reduce emissions.

RSC Advances published new progress about Biodiesel fuel. 111-11-5 belongs to class esters-buliding-blocks, name is Methyl octanoate, and the molecular formula is C9H18O2, Name: Methyl octanoate.

Referemce:
Ester – Wikipedia,
Ester – an overview | ScienceDirect Topics