Mechanical efficiency prediction methodology of the hypocycloid gear mechanism for internal combustion engine application

被引:0
|
作者
Mostafa A. ElBahloul
ELsayed S. Aziz
Constantin Chassapis
机构
[1] Stevens Institute of Technology,Department of Mechanical Engineering, Schaefer School of Engineering and Science
[2] Mansoura University,Production and Mechanical Design Engineering Department, Faculty of Engineering
关键词
Hypocycloid; Internal gears; Friction modeling; Power loss; Internal combustion engines; Mechanical efficiency;
D O I
暂无
中图分类号
学科分类号
摘要
Mechanical friction power loss is one of the main concerns in the internal combustion engine (ICE) systems. The piston-rod assembly and the complex motion of the connecting rod are the largest source of engine friction. A significant reduction in these losses can be achieved with ICE systems incorporating the hypocycloid gear mechanism (HGM), which ensures that the piston-rod assembly reciprocates in a perfect straight-line motion along the cylinder axis to eliminate the piston side load. This paper investigates the feasibility of an enhanced HGM for the design and development of ICE applications. It incorporates designing the planetary crank gearing system to satisfy the design specifications of ICE using the standard design procedures provided by AGMA. This is followed by building the friction model for the interacting components of the HGM engine through developing the mathematical model for the friction power loss of the internal gear train meshes, rolling bearings, and sliding bearings. The total friction power losses of the HGM engine are calculated and compared with the friction model of the conventional crank-slider engine that has been developed by Sandoval and Heywood (An Improved Friction Model for Spark-Ignition Engines. SAE Technical Paper 2003-01-0725, 2003). The comparison results show the feasibility of using the HGM for ICE applications with minimized engine friction power losses and hence higher mechanical efficiency.
引用
收藏
页码:221 / 233
页数:12
相关论文
共 50 条
  • [21] Application of artificial neural networks (ANN) for prediction the performance of a dual fuel internal combustion engine
    Department of Mechanical Engineering, University of Malaya, Malaysia
    不详
    Hong Kong Inst Eng Trans, 2009, 1 (14-20):
  • [22] Bioenergy Technology: Gasification with Internal Combustion Engine application
    Zabaniotou, A.
    Mitsakis, P.
    Mertzis, D.
    Tsiakmakis, S.
    Manara, P.
    Samaras, Z.
    MEDITERRANEAN GREEN ENERGY FORUM 2013: PROCEEDINGS OF AN INTERNATIONAL CONFERENCE MGEF-13, 2013, 42 : 745 - 753
  • [23] The Ultrahigh Efficiency Gas Turbine Engine With Stator Internal Combustion
    Schobeiri, Meinhard T.
    Ghoreyshi, Seyed M.
    JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER-TRANSACTIONS OF THE ASME, 2016, 138 (02):
  • [24] Simulation of planetary gear transmission mechanism of cycloid internal diesel engine
    School of Automotive Engineering, South China Univ. of Technol., Guangzhou 510640, China
    Huanan Ligong Daxue Xuebao, 2007, 11 (41-45):
  • [25] Optimizing internal combustion engine performance through response surface methodology
    Dvorak, TM
    Hoekstra, RL
    1996 MOTORSPORTS ENGINEERING CONFERENCE PROCEEDINGS, VOL 2: ENGINES & DRIVETRAINS, 1996, : 129 - 141
  • [26] Backfire prediction in a manifold injection hydrogen internal combustion engine
    Liu, Xing-hua
    Liu, Fu-shui
    Zhou, Lei
    Sun, Bai-gang
    Schock, Harold. J.
    INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2008, 33 (14) : 3847 - 3855
  • [27] Prediction of structural and kinematic coupled vibration on internal combustion engine
    Kawamoto, A
    Inagaki, M
    Aoyama, T
    Mori, N
    Ikeura, O
    Uno, T
    Yamamoto, K
    NOISE AND VIBRATION ENGINEERING, VOLS 1 - 3, PROCEEDINGS, 2001, : 1301 - 1308
  • [28] Backfire mechanism and control of PFI hydrogen internal combustion engine
    Sun, B. (sunbg@bit.edu.cn), 1600, Chinese Society of Agricultural Machinery (44):
  • [29] Prediction of mechanical efficiency of parallel-axis gear pairs
    Xu, H.
    Kahraman, A.
    Anderson, N. E.
    Maddock, D. G.
    JOURNAL OF MECHANICAL DESIGN, 2007, 129 (01) : 58 - 68
  • [30] EVALUATION OF METHODOLOGY FOR DETERMINATION OF MECHANICAL EFFICIENCY OF SPARK IGNITION ENGINE
    Levickis, Daniels
    Gailis, Maris
    Rudzitis, Janis
    Kreicbergs, Juris
    18TH INTERNATIONAL SCIENTIFIC CONFERENCE ENGINEERING FOR RURAL DEVELOPMENT, 2019, : 814 - 821