scholarly journals OBTAINING NITROGEN-CONTAINING ORGANIC ADDITIVES INCREASING THE OCTANE NUMBER OF GASOLINE

2021 ◽  
Vol 92 (11) ◽  
Author(s):  
Ilkhom Turgunov ◽  
Fayzulla Nurkulov ◽  
Abdulahat Djalilov
Keyword(s):  
Octane Number ◽  
Organic Additives

Static and Dynamic Studies of Gasoline in View of its Octane Number and its Toxic Effect

2013 ◽  
Vol 12 (7) ◽  
pp. 451-459
Author(s):  
Ashraf Yehia El-Naggar ◽  
Mohamed A. Ebiad
Keyword(s):  
Toxic Effect ◽  
Aromatic Hydrocarbons ◽  
Octane Number ◽  
Liquid Fuel ◽  
Positive Impact ◽  
Hydrocarbon Composition ◽  
Different Temperatures ◽  
Different Seasons ◽  
The One ◽  
The Impact

Gasoline come primarily from petroleum cuts, it is the preferred liquid fuel in our lives. Two gasoline samples of octane numbers 91 and 95 from Saudi Arabia petrol stations were studied. This study was achieved at three different temperatures 20oC, 30oC and 50oC representing the change in temperatures of the different seasons of the year. Both the evaporated gases of light aromatic hydrocarbons (BTEX) of gasoline samples inside the tank were subjected to analyze qualitatively and quantitatively via capillary gas chromatography. The detailed hydrocarbon composition and the octane number of the studied gasoline samples were determined using detailed hydrocarbon analyzer. The idea of research is indicating the impact of light aromatic compounds in gasoline on the toxic effect of human and environment on the one hand, and on octane number of gasoline on the other hand. Although the value of octane number will be reduced but this will have a positive impact on the environment as a way to produce clean fuel.

Graph Neural Networks for Prediction of Fuel Ignition Quality

2020 ◽  
Author(s):  
Artur Schweidtmann ◽  
Jan Rittig ◽  
Andrea König ◽  
Martin Grohe ◽  
Alexander Mitsos ◽  
...  
Keyword(s):  
Neural Networks ◽  
Octane Number ◽  
Molecular Graph ◽  
Chemical Properties ◽  
Graph Representation ◽  
Structure Property ◽  
Oxygenated Hydrocarbons ◽  
Physico Chemical ◽  
Ignition Quality ◽  
Graph Neural Networks

<div>Prediction of combustion-related properties of (oxygenated) hydrocarbons is an important and challenging task for which quantitative structure-property relationship (QSPR) models are frequently employed. Recently, a machine learning method, graph neural networks (GNNs), has shown promising results for the prediction of structure-property relationships. GNNs utilize a graph representation of molecules, where atoms correspond to nodes and bonds to edges containing information about the molecular structure. More specifically, GNNs learn physico-chemical properties as a function of the molecular graph in a supervised learning setup using a backpropagation algorithm. This end-to-end learning approach eliminates the need for selection of molecular descriptors or structural groups, as it learns optimal fingerprints through graph convolutions and maps the fingerprints to the physico-chemical properties by deep learning. We develop GNN models for predicting three fuel ignition quality indicators, i.e., the derived cetane number (DCN), the research octane number (RON), and the motor octane number (MON), of oxygenated and non-oxygenated hydrocarbons. In light of limited experimental data in the order of hundreds, we propose a combination of multi-task learning, transfer learning, and ensemble learning. The results show competitive performance of the proposed GNN approach compared to state-of-the-art QSPR models making it a promising field for future research. The prediction tool is available via a web front-end at www.avt.rwth-aachen.de/gnn.</div>

INFLUENCE OF SOME NATURAL ORGANIC ADDITIVES ON THE QUALITY OF VEGETAL COMPOST

2016 ◽  
Vol 15 (5) ◽  
pp. 1041-1048
Author(s):  
Irina Smical ◽  
Adriana Muntean ◽  
Valer Micle
Keyword(s):  
Organic Additives

PENGARUH LAJU ALIRAN BAHAN BAKAR CNG PADA PERFORMA MESIN KENDARAAN BERMOTOR

2016 ◽  
Vol 6 (2) ◽  
pp. 65
Author(s):  
Ridwan Arief Subekti
Keyword(s):  
Natural Gas ◽  
Octane Number ◽  
Compressed Natural Gas ◽  
Research Octane Number

Makalah ini membahas tentang pengaruh laju aliran bahan bakar CNG (compressed natural gas) terhadap performa kendaraan roda empat jenis minibus. Pengaturan dan pengujian dilakukan untuk mencari setelan laju aliran CNG yang terbaik agar performa kendaraan optimal. Tahap pertama dari penelitian ini adalah pemasangan peralatan kit konverter tipe injeksi sequensial pada kendaraan. Selanjutnya dilakukan pengujian performa kendaraan menggunakan  dyno  test  atau  sasis  dyno.  Pada  awalnya,  bahan  bakar  yang  digunakan  adalah  Pertamax  RON (research  octane  number)  92  yang  kemudian  diganti  dengan  CNG.  Dari  pengujian  dua  bahan  bakar  tersebut diketahui bahwa terjadi penurunan daya dan torsi kendaraan bila menggunakan CNG. Tahap berikutnya adalah melakukan pengaturan laju aliran CNG dengan cara mengatur durasi penyemprotan injektor. Hasil uji yang ditampilkan dalam bentuk grafik putaran terhadap daya dan putaran terhadap torsi memperlihatkan bahwa performa kendaraan  berbahan  bakar  CNG  dengan  pengaturan  laju  aliran  gas  meningkat  sekitar  3%.  Sedangkan  bila penggunaan CNG dibandingkan dengan Pertamax RON 92, terjadi penurunan daya dan torsi pada kendaraan sebesar 12,4% dan 23,7%.Kata kunci : ratio laju udara, CNG, kit konverter, laju aliran gas, mesin bensin

1987 CRC Octane Number Requirement Survey

1988 ◽  
Author(s):  
COORDINATING RESEARCH COUNCIL INC ATLANTA GA
Keyword(s):  
Octane Number

CRC Octane Number Requirement Survey 1990

1991 ◽  
Author(s):  
COORDINATING RESEARCH COUNCIL INC ATLANTA GA
Keyword(s):  
Octane Number

Composting of Sewage Sludge of Moscow Waste Water Treatment Plants Using Recycling Filler

2007 ◽  
Vol 2 (1) ◽  
Author(s):  
D.A. Danilovich ◽  
M.N. Kozlov ◽  
V.I. Sklyar ◽  
Yu.A. Nikolaev ◽  
N.M. Shchegolkova ◽  
...  
Keyword(s):  
Waste Water ◽  
Water Treatment ◽  
Waste Water Treatment ◽  
Maximum Temperature ◽  
Waste Waters ◽  
Organic Additives ◽  
Organoleptic Properties ◽  
Water Treatment Plants ◽  
Waste Water Treatment Plants ◽  
The City

This work demonstrates a possibility of composting of municipal waste waters sludge (WWS) digested during 5-7 days, of the Kuryanovo waste water treatment plants (the city of Moscow) without the use of traditional organic additives – sawdust, peat, thatch. As a recycling filler (repeatedly used), enhancing the porosity of the composted mixture, ribbed polyethylene spheres (∅=8 cm) and wood chips (having dimension of 5-10 cm) were used. Composting was performed efficiently in both cases, however, the use of wood ships had technological and economical advantages. The process of composting was carried out during 2-4 weeks and was composed of classical phases of active heating (a rate of 0.2-0.3oC/h was obtained), maintaining of maximum temperature during 1-2 days, and cooling down to the ambient temperature. During the course of composting, a product was obtained, having attractive organoleptic properties, suitable for application in municipal laying-out of greenery.

Separation of Linear and Branched Paraffins by Adsorption Processes for Gasoline Octane Number Improvement

2013 ◽  
Vol 5 (3) ◽  
pp. 153-173 ◽  
Author(s):  
Georgina Laredo ◽  
Fernando Trejo-Zarraga ◽  
Federico Jimenez-Cruz ◽  
Jose Garcia-Gutierrez
Keyword(s):  
Octane Number ◽  
Adsorption Processes
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