Quantitative Analysis of Mixture Preparation Processes in New Direct-Injection Spark Ignition Engines(<Special Issue>Advanced Combustion Technology in Internal Combustion Engines)

    • ITOH Teruyuki
    • Technology Research Laboratory No.3, Nissan Research Center, Nissan Motor Co., Ltd.
    • KAKUHO Akihiko
    • Technology Research Laboratory No.3, Nissan Research Center, Nissan Motor Co., Ltd.
    • HIRAYA Koji
    • Technology Research Laboratory No.3, Nissan Research Center, Nissan Motor Co., Ltd.
    • TAKAHASHI Eiji
    • Technology Research Laboratory No.3, Nissan Research Center, Nissan Motor Co., Ltd.

    • URUSHIHARA Tomonori
    • Technology Research Laboratory No.3, Nissan Research Center, Nissan Motor Co., Ltd.

Abstract

Visualization plays an effective role in the establishment of a new combustion concept by helping to find the optimal results quickly among many different parameters and contributing to a shorter development period. Laser-induced fluorescence, Raman scattering and infrared absorption were used to measure the air/fuel ratio quantitatively in a third-generation direct-injection gasoline (DIG) engine with a spray-guided mixture formation process and comparisons were made with the mixture formation concepts of the first-and second-generation DIG engines. The optimum combination of fuel spray, gas flow and combustion chamber configuration was found to be different for the three generations of DIG engines. The characteristics of the stable combustion region for obtaining higher thermal efficiency and cleaner exhaust emissions differed among the three mixture formation concepts.

Journal

JSME international journal. Ser. B, Fluids and thermal engineering   [List of Volumes]

JSME international journal. Ser. B, Fluids and thermal engineering 48(4), 679-686, 2005-11-15  [Table of Contents]

The Japan Society of Mechanical Engineers

References:  12

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Codes

  • NII Article ID (NAID) :
    110004820234
  • NII NACSIS-CAT ID (NCID) :
    AA10888815
  • Text Lang :
    ENG
  • Article Type :
    ART
  • ISSN :
    13408054
  • NDL Article ID :
    7697396
  • NDL Source Classification :
    ZN11(科学技術--機械工学・工業)
  • NDL Call No. :
    Z53-Y271
  • Databases :
    CJP  NDL  NII-ELS  J-STAGE