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Relevant bibliographies by topics / Research octane number

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Academic literature on the topic 'Research octane number'

Author: Grafiati

Published: 4 June 2021

Last updated: 8 February 2022

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Journal articles on the topic "Research octane number"

1

Fu, Ningchen, Zicheng Lai, Yuping Zhang, and Yan Ma. "An effective method based on multi-model fusion for research octane number prediction." New Journal of Chemistry 45, no. 21 (2021): 9668–76. http://dx.doi.org/10.1039/d1nj00003a.

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This paper proposes a new octane number prediction model. After experiments, it is found that the algorithm we proposed can effectively predict the octane number of the product and has a great improvement in the prediction curve.

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Wibowo, Cahyo Setyo, Bambang Sugiarto, Ardi Zikra, Alva Budi, Try Mulya, and Maymuchar. "The Effect of Gasoline-Bioethanol Blends to The Value of Fuel’s Octane Number." E3S Web of Conferences 67 (2018): 02033. http://dx.doi.org/10.1051/e3sconf/20186702033.

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A fuel gasoline engine classified based is octane number, test for octane number using CFR engine with RON (Research Octane Number) ASTM D 2699 and MON (Motor Octane Number) ASTM D 2700. Bioethanol can booster octane number if blended to gasoline. A fuel to a higher octane can be run at a higher compression ratio without causing detonation or knocking engine. Compression is directly related to thermodynamic efficiency but to blended bioethanol can decrease the heating value of the fuel. The design engine on the market had compression ratio specified and needed octane number minimum specified.

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Andrade, J. M., S. Muniategui, P. López, and D. Prada. "Costs, laboratory safety, productivity and faster research octane number and motor octane number determinations in industrial chemistry laboratories." Analyst 120, no. 2 (1995): 249–53. http://dx.doi.org/10.1039/an9952000249.

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Boichenko, Serhii Valeriiovych, Vasyl Hryhorovych Lanetskyi, Larysa Mykolaivna Cherniak, Marharyta Myroslavivna Radomska, and Olesia Hennadiivna Kondakova. "RESEARCH OF CAVITATION INFLUENCE ON AUTOMOBILE GASOLINE OCTANE NUMBER." POWER ENGINEERING: economics, technique, ecology, no. 2 (October 7, 2017): 107–14. http://dx.doi.org/10.20535/1813-5420.2.2017.111693.

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Hirshfeld, David S., Jeffrey A. Kolb, James E. Anderson, et al. "Refining Economics of Higher Octane Sensitivity, Research Octane Number and Ethanol Content for U.S. Gasoline." Energy & Fuels 35, no. 18 (2021): 14816–27. http://dx.doi.org/10.1021/acs.energyfuels.1c00247.

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Li, Wei, Jiali Yang, Peihao Yang, and Sheng Li. "Characteristic Selection and Prediction of Octane Number Loss in Gasoline Refinement Process." E3S Web of Conferences 245 (2021): 01040. http://dx.doi.org/10.1051/e3sconf/202124501040.

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In the refining process of gasoline, accurate prediction of the octane number loss is conducive to production management to ensure the octane content in gasoline. Therefore, the relevant research has important theoretical significance and application value. Aiming at the characteristics of octane number loss with few samples, high dimensions and non-linear of the octane number loss, this paper uses maximum information coefficient, recursive characteristic elimination and random forest regression algorithm to select the main characteristics, and establishes the octane number loss prediction mod

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Iob, Asfaha, Mohammed A. Ali, Bassam S. Tawabini, Jamal A. Anabtawi, Syed A. Ali, and Abdulghani Al-Farayedhi. "Prediction of reformate research octane number by FT-i.r. spectroscopy." Fuel 74, no. 2 (1995): 227–31. http://dx.doi.org/10.1016/0016-2361(95)92658-s.

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Fioroni, Gina M., Mohammad J. Rahimi, Charles K. Westbrook, et al. "Chemical kinetic basis of synergistic blending for research octane number." Fuel 307 (January 2022): 121865. http://dx.doi.org/10.1016/j.fuel.2021.121865.

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Al-Bayati, Alaa D. Jawad, Abdul Hussain Hurraija Rufaish, and Hussein Shaheed Fadhil. "Determination of the Optimum formula for Composite Motor Gasoline Octane Number Blending Enhancer." Journal of Engineering 25, no. 5 (2019): 37–51. http://dx.doi.org/10.31026/j.eng.2019.05.03.

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To decrease the dependency of producing high octane number gasoline on the catalytic processes in petroleum refineries and to increase the gasoline pool, the effect of adding a suggested formula of composite blending octane number enhancer to motor gasoline composed of a mixture of oxygenated materials (ethanol and ether) and aromatic materials (toluene and xylene) was investigated by design of experiments made by Mini Tab 15 statistical software. The original gasoline before addition of the octane number blending enhancer has a value of (79) research octane number (RON). The design of experim

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Fan, Yunchu, Yaozong Duan, Dong Han, Xinqi Qiao, and Zhen Huang. "Influences of isomeric butanol addition on anti-knock tendency of primary reference fuel and toluene primary reference fuel gasoline surrogates." International Journal of Engine Research 22, no. 1 (2019): 39–49. http://dx.doi.org/10.1177/1468087419850704.

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The anti-knock tendency of blends of butanol isomers and two gasoline surrogates (primary reference fuels and toluene primary reference fuels) was studied on a single-cylinder cooperative fuel research engine. The effects of butanol molecular structure (n-butanol, i-butanol, s-butanol and t-butanol) and butanol addition percentage on fuel research octane numbers were investigated. The experimental results revealed that butanol addition to either PRF80 or TPRF80 increased research octane numbers, and the research octane numbers of fuel blends showed higher linearity with the molar percentage th

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Dissertations / Theses on the topic "Research octane number"

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Dias, Tiago Alexandre Garcia. "Development of inferential Models: Prediction of Research Octane Number in Catalytic Reforming Units." Doctoral thesis, 2021. http://hdl.handle.net/10316/95290.

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Doctoral Thesis in Refining, Petrochemical and Chemical Engineering, presented to the Department of Chemical Engineering, Faculty od Sciences and Technology of the University of Coimbra.<br>The Research Octane Number (RON) is a key quality parameter for gasoline. It assesses the ability to resist engine knocking as the fuel burns in the combustion chamber. The main goal of this thesis is to address the critical but complex problem of predicting RON using real process data in the context of two catalytic reforming processes from a petrochemical refinery: semi regenerative catalytic reforming (S

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Zakari, A. Y., B. O. Aderemi, Rajnikant Patel, and Iqbal M. Mujtaba. "Study of industrial naphtha catalytic reforming reactions via modelling and simulation." 2019. http://hdl.handle.net/10454/16933.

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Yes<br>Steady state and dynamic modelling and simulation of catalytic reforming unit of Kaduna Refining & Petrochemical Company, NNPC (Nigeria) was carried to find out the behaviour of the reactions under both steady and unsteady state conditions. The basic model together with kinetic and thermodynamic parameters and properties were taken from the literature but is developed in gPROMS (an equation oriented modelling software) model building platform for the first time rather than in MATLAB or other modelling platform used by other researchers in the past. The simulation was performed using gPR

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Books on the topic "Research octane number"

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1995-1997 CRC Octane Number Requirement Surveys (Crc Report (Coordinating Research Council), 619). Society of Automotive Engineers, 1999.

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1996 CRC Octane Number Requirement Survey (Crc Report (Coordinating Research Council), No 607). Society of Automotive Engineers, 1998.

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Book chapters on the topic "Research octane number"

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"Research Octane Number for Hydrocarbons ()." In Fundamentals of Petroleum Refining. Elsevier, 2010. http://dx.doi.org/10.1016/b978-0-444-52785-1.00029-2.

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Leal, Ana L., Jorge C. Ribeiro, Artur M. S. Silva, and F. G. Martins. "Predicting Research and Motor Octane Numbers based on Near Infrared Spectroscopy: Models based on Partial Least Squares Regression and Artificial Neural Networks." In Computer Aided Chemical Engineering. Elsevier, 2018. http://dx.doi.org/10.1016/b978-0-444-64235-6.50034-6.

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Conference papers on the topic "Research octane number"

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Callison, James C., Tim Wusz, and William F. Biller. "Coordinating Research Council Trends in Octane Number Requirement Increase." In 1989 SAE International Fall Fuels and Lubricants Meeting and Exhibition. SAE International, 1989. http://dx.doi.org/10.4271/892036.

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Yates, Andy D. B., and Cornelius T. Cilliers. "A Fundamental Study of the Relationship Between Altitude and Research Octane Number." In Spring Fuels & Lubricants Meeting & Exhibition. SAE International, 2002. http://dx.doi.org/10.4271/2002-01-1662.

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Pal, Pinaki, Yunchao Wu, Tianfeng Lu, Sibendu Som, Yee Chee See, and Alexandra Le Moine. "Multi-Dimensional CFD Simulations of Knocking Combustion in a CFR Engine." In ASME 2017 Internal Combustion Engine Division Fall Technical Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/icef2017-3599.

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Knock is a major impediment to achieving higher efficiency in Spark-Ignition (SI) engines. The recent trends of boosting, downsizing and downspeeding have exacerbated this issue by driving engines toward higher power density and higher load duty cycles. Apart from the engine operating conditions, fuel anti-knock quality is a major determinant of the knocking tendency in engines, as quantified by its octane number (ON). The ON of a fuel is based on an octane scale which is defined according to the standard octane rating methods for Research Octane Number (RON) and Motor Octane Number (MON). The

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Yue, Zongyu, Chao Xu, Sibendu Som, et al. "A Transported Livengood-Wu Integral Model for Knock Prediction in CFD Simulation." In ASME 2020 Internal Combustion Engine Division Fall Technical Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/icef2020-2922.

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Abstract This work describes the development of a transported Livengood-Wu (L-W) integral model for computational fluid dynamics (CFD) simulation to predict auto-ignition and engine knock tendency. The currently employed L-W integral model considers both single-stage and two-stage ignition processes, thus can be generally applied to different fuels such as paraffin, olefin, aromatics and alcohol. The model implementation is first validated in simulations of homogeneous charge compression ignition combustion for three different fuels, showing good accuracy in prediction of auto-ignition timing

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Kalvakala, Krishna C., Pinaki Pal, Yunchao Wu, et al. "Numerical Analysis of Fuel Effects on Advanced Compression Ignition Using a Virtual Cooperative Fuel Research Engine Model." In ASME 2020 Internal Combustion Engine Division Fall Technical Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/icef2020-2939.

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Abstract Growing environmental concerns and demand for better fuel economy are driving forces that motivate the research for more advanced engines. Multi-mode combustion strategies have gained attention for their potential to provide high thermal efficiency and low emissions for light-duty applications. These strategies target optimizing the engine performance by correlating different combustion modes to load operating conditions. The extension from boosted SI mode at high loads to advanced compression ignition (ACI) mode at low loads can be achieved by increasing compression ratio and utilizi

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Badra, Jihad A., Jaeheon Sim, Yoann Viollet, Yu Zhang, Nayan Engineer, and Junseok Chang. "CFD Guided Gasoline Compression Ignition Engine Calibration." In ASME 2017 Internal Combustion Engine Division Fall Technical Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/icef2017-3583.

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One of the attractive alternatives to traditional spark ignition engines is the gasoline compression ignition (GCI) engine technology. Fuels with octane numbers lower than those of market gasolines have been identified as a viable option for GCI engine applications. Their longer ignition delay time characteristics compared to diesel fuel and their similar volatility features compared to gasoline fuels make them interesting to be explored. In this study, we have numerically investigated the effect of different injection timings at part-load conditions using a research octane number (RON) 75 fue

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Pal, Pinaki, Krishna Kalvakala, Yunchao Wu, et al. "Numerical Investigation of a Central Fuel Property Hypothesis Under Boosted Spark-Ignition Conditions." In ASME 2019 Internal Combustion Engine Division Fall Technical Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/icef2019-7284.

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Abstract In the present work, a central fuel property hypothesis (CFPH), which states that fuel properties are sufficient to provide an indication of a fuel’s performance irrespective of its chemical composition, was numerically investigated. In particular, the objective of the study was to determine whether Research Octane Number (RON) and Motor Octane Number (MON), as fuel properties, are sufficient to describe a fuel’s knock-limited performance under boosted spark-ignition (SI) conditions within the framework of CFPH. To this end, four TPRF-bioblendstock surrogates having different composit

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Shamekhi, Abazar, Nima Khatibzadeh, and Amir H. Shamekhi. "Performance and Emissions Characteristics Investigation of a Bi-Fuel SI Engine Fuelled by CNG and Gasoline." In ASME 2006 Internal Combustion Engine Division Spring Technical Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/ices2006-1387.

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Nowadays, increased attention has been focused on internal combustion engine fuels. Regarding environmental effects of internal combustion engines particularly as pollutant sources and depletion of fossil fuel resources, compressed natural gas (CNG) has been introduced as an effective alternative to gasoline and diesel fuel in many applications. A high research octane number allows combustion at higher compression ratios without knocking and good emission characteristics of HC and CO are major benefits of CNG as an engine fuel. In this paper, CNG as an alternative fuel in a spark ignition engi

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9

Yue, Zongyu, K. Dean Edwards, C. Scott Sluder, and Sibendu Som. "Prediction of Cyclic Variability and Knock-Limited Spark Advance (KLSA) in Spark-Ignition (SI) Engine." In ASME 2018 Internal Combustion Engine Division Fall Technical Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/icef2018-9605.

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Engine knock remains one of the major barriers to further improve thermal efficiency of Spark Ignition (SI) engines. Knock can be suppressed by lowering the compression ratio, or retarding the spark ignition timing, however, at an expense of efficiency penalty. SI engine is usually operated at knock-limited spark advance (KLSA) to achieve possibly maximum efficiency with given engine hardware and fuel properties, such as Research Octane Number (RON), Motor Octane Number (MON), and heat of vaporization, etc. Co-optimization of engine design and fuel properties is promising to improve the engine

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Maruta, Kaoru. "Flame Chromatography: Toward Fuel Indexing Based on Multiple Weak Flames in a Meso-Scale Channel With a Prescribed Temperature Profile." In ASME 2011 9th International Conference on Nanochannels, Microchannels, and Minichannels. ASMEDC, 2011. http://dx.doi.org/10.1115/icnmm2011-58291.

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For understanding flame stability in microcombustor, fundamental studies on the combustion characteristics in a meso-scale channel with a prescribed wall temperature profile have been conducted. Results showed that the existence of dynamic oscillatory flames and weak flames in addition to the normal propagating flames for the first time. It is then recognized that the weak flame phenomena can be applied for examining multi-stage oxidation of hydrocarbon fuels in wide temperature range from 300K up to auto-ignition temperature. Based on the preliminary experiments with various fuels including p

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Reports on the topic "Research octane number"

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Alleman, Teresa. Isobutanol Octane Blending Model with Gasoline: Cooperative Research and Development Final Report, CRADA Number CRD-17-00689. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1765598.

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COORDINATING RESEARCH COUNCIL INC ATLANTA GA. CRC (Coordinating Research Council) Octane Number Requirement Rating Workshop Held in Phoenix, Arizona on May 19-22, 1987. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada203339.

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