Mapping of cavitating flow regimes in injectors for medium-/heavy-duty diesel engines

被引:18
|
作者
Mitroglou, Nicholas [1 ]
Gavaises, Manolis [1 ]
机构
[1] City Univ London, Sch Engn & Math Sci, Energy & Transport Res Ctr, London EC1V 0HB, England
关键词
Cavitation; fuel injectors; diesel engines; computational fluid dynamics simulations; high-speed imaging; VORTEX FLOW; NOZZLES; HYDROFOIL;
D O I
10.1177/1468087413500491
中图分类号
O414.1 [热力学];
学科分类号
摘要
Reducing the sac volume size of medium-/heavy-duty diesel engine injector nozzles can minimise the fuel dripping into the combustion chamber at the end of injection events, which has been linked to reduced engine-out emissions. This study demonstrates the effect of reduction in the sac volume of diesel fuel injectors utilised in medium-/heavy-duty applications on the internal nozzle flow. This is realised by comparison of two heavy-duty diesel nozzles that feature a large difference in sac volume size of almost three times. For visualisation purposes, the nozzles have been enlarged by six times, and replicas were manufactured from a transparent material. High-speed digital imaging was used to capture the instantaneous spatial and temporal characteristics of geometric as well as dynamic vortex cavitation structures. The investigation was conducted in a steady-state flow test rig for three different needle valve lifts. For all tested conditions, the flow behaviour was analysed at three distinct areas of the nozzle, these being the needle seat, the sac volume and the injection hole. Interpretation of experimental observations was supported by parallel computational fluid dynamics simulations of the exact conditions measured during the experiments. Post-processing of the captured images has revealed the ensemble - average cavitation location, its standard deviation and the cavitation structures life - time inside the sac volume. Results showed a significant dependency of the internal nozzle flow on the sac volume size and identified clear differences in the structure of the cavitation pockets inside the sac volume under certain operating conditions.
引用
收藏
页码:590 / 605
页数:16
相关论文
共 50 条
  • [31] Demand Forecasting for Heavy-Duty Diesel Engines Considering Emission Regulations
    Kim, Yoon Seong
    Han, Eun Jin
    Sohn, So Young
    SUSTAINABILITY, 2017, 9 (02)
  • [32] The effect of swirl on combustion and exhaust emissions in heavy-duty diesel engines
    Benajes, J
    Molina, S
    García, JM
    Riesco, JM
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING, 2004, 218 (D10) : 1141 - 1148
  • [33] Regulating by litigation: The EPA'S regulation of heavy-duty diesel engines
    Morriss, AP
    Yandle, B
    Dorchak, A
    ADMINISTRATIVE LAW REVIEW, 2004, 56 (02) : 403 - 518
  • [34] Modelling lubrication oil particle emissions from heavy-duty diesel engines
    Tornehed, Petter
    Olofsson, Ulf
    INTERNATIONAL JOURNAL OF ENGINE RESEARCH, 2013, 14 (02) : 180 - 190
  • [35] PERFORMANCE RELATED EXHAUST EMISSIONS FROM HEAVY-DUTY DIESEL-ENGINES
    HICKMAN, AJ
    GRAHAM, MA
    SCIENCE OF THE TOTAL ENVIRONMENT, 1993, 134 (1-3) : 211 - 223
  • [36] SALES NUMBERS LOOKING GOOD FOR MANUFACTURERS OF HEAVY-DUTY DIESEL-ENGINES
    YENGST, CR
    DIESEL PROGRESS ENGINES & DRIVES, 1994, 60 (09): : 4 - 4
  • [37] Summary of in-use NOx emissions from heavy-duty diesel engines
    Mechanical and Aerospace Engineering Department, West Virginia University, 349 Engineering Science Building, Morgantown, WV, United States
    SAE Int. J. Commer. Veh., 2009, 1 (162-184):
  • [38] A neural network based sensor validation scheme for heavy-duty diesel engines
    Campa, Glampiero
    Thiagarajan, Manoharan
    Krishnamurty, Mohan
    Napolitano, Marcello R.
    Gautam, Mridul
    JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME, 2008, 130 (02): : 0210081 - 02100810
  • [39] Development of a skeletal mechanism for heavy-duty engines fuelled by diesel and natural gas
    Zhao, Wensheng
    Yang, Wenming
    Fan, Liyun
    Zhou, Dezhi
    Ma, Xiuzhen
    APPLIED THERMAL ENGINEERING, 2017, 123 : 1060 - 1071
  • [40] A neural network based sensor validation scheme for heavy-duty diesel engines
    Campa, Giampiero
    Krishnamurty, Mohan
    Gautam, Mridul
    Napolitano, Marcello R.
    Perhinschi, Mario
    PROCEEDINGS OF 2006 MEDITERRANEAN CONFERENCE ON CONTROL AND AUTOMATION, VOLS 1 AND 2, 2006, : 599 - +