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    Steady-State Calibration of a Diesel Engine in Computational Fluid Dynamics Using a Graphical Processing Unit-Based Chemistry Solver

    Source: Journal of Engineering for Gas Turbines and Power:;2018:;volume( 140 ):;issue: 010::page 102802
    Author:
    Gao, Jian
    ,
    Grover, , Jr., Ronald O.
    ,
    Gopalakrishnan, Venkatesh
    ,
    Diwakar, Ramachandra
    ,
    Elwasif, Wael
    ,
    Dean Edwards, K.
    ,
    Finney, Charles E. A.
    ,
    Whitesides, Russell A.
    DOI: 10.1115/1.4039735
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The prospect of analysis-driven precalibration of a modern diesel engine is extremely valuable in order to significantly reduce hardware investments and accelerate engine designs compliant with stricter fuel economy regulations. Advanced modeling tools, such as CFD, are often used with the goal of streamlining significant portions of the calibration process. The success of the methodology largely relies on the accuracy of analytical predictions, especially engine-out emissions. However, the effectiveness of CFD simulation tools for in-cylinder engine combustion is often compromised by the complexity, accuracy, and computational overhead of detailed chemical kinetics necessary for combustion calculations. The standard approach has been to use skeletal kinetic mechanisms (∼50 species), which consume acceptable computational time but with degraded accuracy. In this work, a comprehensive demonstration and validation of the analytical precalibration process is presented for a passenger car diesel engine using CFD simulations and a graphical processing unit (GPU)-based chemical kinetics solver (Zero-RK, developed at Lawrence Livermore National Laboratory, Livermore, CA) on high performance computing resources to enable the use of detailed kinetic mechanisms. Diesel engine combustion computations have been conducted over 600 operating points spanning in-vehicle speed-load map, using massively parallel ensemble simulation sets on the Titan supercomputer located at the Oak Ridge Leadership Computing Facility. The results with different mesh resolutions have been analyzed to compare differences in combustion and emissions (NOx, carbon monoxide CO, unburned hydrocarbons (UHC), and smoke) with actual engine measurements. The results show improved agreement in combustion and NOx predictions with a large n-heptane mechanism consisting of 144 species and 900 reactions with refined mesh resolution; however, agreement in CO, UHC, and smoke remains a challenge.
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      Steady-State Calibration of a Diesel Engine in Computational Fluid Dynamics Using a Graphical Processing Unit-Based Chemistry Solver

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    contributor authorGao, Jian
    contributor authorGrover, , Jr., Ronald O.
    contributor authorGopalakrishnan, Venkatesh
    contributor authorDiwakar, Ramachandra
    contributor authorElwasif, Wael
    contributor authorDean Edwards, K.
    contributor authorFinney, Charles E. A.
    contributor authorWhitesides, Russell A.
    date accessioned2019-02-28T10:57:19Z
    date available2019-02-28T10:57:19Z
    date copyright6/19/2018 12:00:00 AM
    date issued2018
    identifier issn0742-4795
    identifier othergtp_140_10_102802.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4251136
    description abstractThe prospect of analysis-driven precalibration of a modern diesel engine is extremely valuable in order to significantly reduce hardware investments and accelerate engine designs compliant with stricter fuel economy regulations. Advanced modeling tools, such as CFD, are often used with the goal of streamlining significant portions of the calibration process. The success of the methodology largely relies on the accuracy of analytical predictions, especially engine-out emissions. However, the effectiveness of CFD simulation tools for in-cylinder engine combustion is often compromised by the complexity, accuracy, and computational overhead of detailed chemical kinetics necessary for combustion calculations. The standard approach has been to use skeletal kinetic mechanisms (∼50 species), which consume acceptable computational time but with degraded accuracy. In this work, a comprehensive demonstration and validation of the analytical precalibration process is presented for a passenger car diesel engine using CFD simulations and a graphical processing unit (GPU)-based chemical kinetics solver (Zero-RK, developed at Lawrence Livermore National Laboratory, Livermore, CA) on high performance computing resources to enable the use of detailed kinetic mechanisms. Diesel engine combustion computations have been conducted over 600 operating points spanning in-vehicle speed-load map, using massively parallel ensemble simulation sets on the Titan supercomputer located at the Oak Ridge Leadership Computing Facility. The results with different mesh resolutions have been analyzed to compare differences in combustion and emissions (NOx, carbon monoxide CO, unburned hydrocarbons (UHC), and smoke) with actual engine measurements. The results show improved agreement in combustion and NOx predictions with a large n-heptane mechanism consisting of 144 species and 900 reactions with refined mesh resolution; however, agreement in CO, UHC, and smoke remains a challenge.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleSteady-State Calibration of a Diesel Engine in Computational Fluid Dynamics Using a Graphical Processing Unit-Based Chemistry Solver
    typeJournal Paper
    journal volume140
    journal issue10
    journal titleJournal of Engineering for Gas Turbines and Power
    identifier doi10.1115/1.4039735
    journal fristpage102802
    journal lastpage102802-5
    treeJournal of Engineering for Gas Turbines and Power:;2018:;volume( 140 ):;issue: 010
    contenttypeFulltext
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