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    Incorporating Hydromechanical Coupling of Unsaturated Soils into the Analysis of Rainwater-Induced Groundwater Ponding 

    Source: International Journal of Geomechanics:;2018:;Volume ( 018 ):;issue: 006
    Author(s): Wu L. Z.;Xu Q.;Wang T.
    Publisher: American Society of Civil Engineers
    Abstract: The moisture contents and coefficients of permeability of partially saturated soils are assumed to follow an exponential function of the pressure head. A partial differential equation is proposed here to describe the ...
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    Precision Forming of the Straight Edge of Square Section by Die-Less Spinning 

    Source: Journal of Manufacturing Science and Engineering:;2016:;volume( 138 ):;issue: 001:;page 11006
    Author(s): Jia, Z.; Xu, Q.; Han, Z. R.; Peng, W. F.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Die-less spinning is a forming process to achieve cone shape parts. It is suitable for small batch production because of low costs and short development cycle. In order to increase the forming accuracy of the square section ...
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    A Novel Global Optimization Algorithm and Its Application to Airfoil Optimization 

    Source: Journal of Turbomachinery:;2015:;volume( 137 ):;issue: 004:;page 41011
    Author(s): Yang, B.; Xu, Q.; He, L.; Zhao, L. H.; Gu, Ch. G.; Ren, P.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In this paper, a novel global optimization algorithm has been developed, which is named as particle swarm optimization combined with particle generator (PSO–PG). In PSO–PG, a PG was introduced to iteratively generate ...
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    Emulating Spatial and Temporal Outputs From Fuel Cell and Battery Models: A Comparison of Deep Learning and Gaussian Process Models 

    Source: Journal of Electrochemical Energy Conversion and Storage:;2022:;volume( 020 ):;issue: 001:;page 11007
    Author(s): Xing, W. W.;Dai, S.;Shah, A. A.;Luo, L.;Xu, Q.;Leung, P. K.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Neural network models have a long history in fuel cell and battery modeling. With the recent advent of deep learning, there is potential for further improvements in these models. Conversely, deep learning is primarily ...
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    Weldability and Distortion of Mg AZ31-to-Galvanized Steel SPOT Plug Welding Joint by Cold Metal Transfer Method 

    Source: Journal of Manufacturing Science and Engineering:;2017:;volume( 139 ):;issue: 002:;page 21001
    Author(s): Cao, R.; Xu, Q. W.; Zhu, H. X.; Mao, G. J.; Lin, Q.; Chen, J. H.; Wang, Pei-Chung
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In this study, cold metal transfer (CMT) plug welding of 1 mm thick Mg AZ31 to 1 mm thick hot-dipped galvanized mild steel (i.e., Q235) was studied. Welding tests were performed and the process variables optimized with Mg ...
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