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    An Improved Rate of Heat Release Model for Modern High-Speed Diesel Engines

    Source: Journal of Engineering for Gas Turbines and Power:;2017:;volume( 139 ):;issue: 009::page 92805
    Author:
    Dowell, Peter G.
    ,
    Akehurst, Sam
    ,
    Burke, Richard D.
    DOI: 10.1115/1.4036101
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: To meet the increasingly stringent emissions standards, diesel engines need to include more active technologies with their associated control systems. Hardware-in-the-loop (HiL) approaches are becoming popular where the engine system is represented as a real-time capable model to allow development of the controller hardware and software without the need for the real engine system. This paper focusses on the engine model required in such approaches. A number of semi-physical, zero-dimensional combustion modeling techniques are enhanced and combined into a complete model, these include—ignition delay, premixed and diffusion combustion and wall impingement. In addition, a fuel injection model was used to provide fuel injection rate from solenoid energizing signals. The model was parameterized using a small set of experimental data from an engine dynamometer test facility and validated against a complete data set covering the full engine speed and torque range. The model was shown to characterize the rate of heat release (RoHR) well over the engine speed and load range. Critically, the wall impingement model improved R2 value for maximum RoHR from 0.89 to 0.96. This was reflected in the model's ability to match both pilot and main combustion phasing, and peak heat release rates derived from measured data. The model predicted indicated mean effective pressure and maximum pressure with R2 values of 0.99 across the engine map. The worst prediction was for the angle of maximum pressure which had an R2 of 0.74. The results demonstrate the predictive ability of the model, with only a small set of empirical data for training—this is a key advantage over conventional methods. The fuel injection model yielded good results for predicted injection quantity (R2 = 0.99) and enabled the use of the RoHR model without the need for measured rate of injection.
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      An Improved Rate of Heat Release Model for Modern High-Speed Diesel Engines

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    contributor authorDowell, Peter G.
    contributor authorAkehurst, Sam
    contributor authorBurke, Richard D.
    date accessioned2017-11-25T07:16:03Z
    date available2017-11-25T07:16:03Z
    date copyright2017/19/4
    date issued2017
    identifier issn0742-4795
    identifier othergtp_139_09_092805.pdf
    identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4233794
    description abstractTo meet the increasingly stringent emissions standards, diesel engines need to include more active technologies with their associated control systems. Hardware-in-the-loop (HiL) approaches are becoming popular where the engine system is represented as a real-time capable model to allow development of the controller hardware and software without the need for the real engine system. This paper focusses on the engine model required in such approaches. A number of semi-physical, zero-dimensional combustion modeling techniques are enhanced and combined into a complete model, these include—ignition delay, premixed and diffusion combustion and wall impingement. In addition, a fuel injection model was used to provide fuel injection rate from solenoid energizing signals. The model was parameterized using a small set of experimental data from an engine dynamometer test facility and validated against a complete data set covering the full engine speed and torque range. The model was shown to characterize the rate of heat release (RoHR) well over the engine speed and load range. Critically, the wall impingement model improved R2 value for maximum RoHR from 0.89 to 0.96. This was reflected in the model's ability to match both pilot and main combustion phasing, and peak heat release rates derived from measured data. The model predicted indicated mean effective pressure and maximum pressure with R2 values of 0.99 across the engine map. The worst prediction was for the angle of maximum pressure which had an R2 of 0.74. The results demonstrate the predictive ability of the model, with only a small set of empirical data for training—this is a key advantage over conventional methods. The fuel injection model yielded good results for predicted injection quantity (R2 = 0.99) and enabled the use of the RoHR model without the need for measured rate of injection.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleAn Improved Rate of Heat Release Model for Modern High-Speed Diesel Engines
    typeJournal Paper
    journal volume139
    journal issue9
    journal titleJournal of Engineering for Gas Turbines and Power
    identifier doi10.1115/1.4036101
    journal fristpage92805
    journal lastpage092805-14
    treeJournal of Engineering for Gas Turbines and Power:;2017:;volume( 139 ):;issue: 009
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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