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    An Anomalous Elastohydrodynamic Lubrication Film: Inlet Dimple 

    Source: Journal of Tribology:;2005:;volume( 127 ):;issue: 002:;page 425
    Author(s): F. Guo; P. L. Wong
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper presents a deliberately designed elastohydrodynamical lubrication (EHL) experiment for the study of the individual effect of the limiting shear stress and wall slippage. Very slow ...
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    Impact Micro-Elastohydrodynamics in Point Contacts 

    Source: Journal of Tribology:;2011:;volume( 133 ):;issue: 003:;page 31503
    Author(s): M. Kaneta; F. Guo; J. Wang
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The influences of a single bump (dent) or regularly arranged bumps (dents) on the film thickness in impact circular elasthydrodynamic lubrication (EHL) contacts lubricated with a Newtonian lubricant ...
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    Occurrence of a Noncentral Dimple in Squeezing EHL Contacts 

    Source: Journal of Tribology:;2006:;volume( 128 ):;issue: 003:;page 632
    Author(s): F. Guo; M. Kaneta; P. Yang; J. Wang; H. Nishikawa
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Previous studies about pure squeeze elastohydrodynamic lubrication (EHL) have disclosed a film profile with a central dimple. Two problems about pure squeeze EHL are numerically solved in this ...
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    An Alternative Decomposition of the Strain Gradient Tensor 

    Source: Journal of Applied Mechanics:;2002:;volume( 069 ):;issue: 002:;page 139
    Author(s): H. Jiang; Y. Huang; T. F. Guo; K. C. Hwang
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: An alternative decomposition of the strain gradient tensor is proposed in this paper in order to ensure that the deviatoric strain gradient vanishes for an arbitrary volumetric strain field, ...
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    Efficient Multiobjective Storm Sewer Design Using Cellular Automata and Genetic Algorithm Hybrid 

    Source: Journal of Water Resources Planning and Management:;2008:;Volume ( 134 ):;issue: 006
    Author(s): Y. F. Guo; G. A. Walters; S. T. Khu; E. C. Keedwell
    Publisher: American Society of Civil Engineers
    Abstract: Optimal sewer design aims to find cost-effective solutions for designing sewer networks, and genetic algorithms (GAs) are one of the state-of-the-art optimization techniques that have been applied to this problem. However, ...
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