Mixing‐Driven Defects and Composition Evolution in Multi‐Material Metal Additive Manufacturing
Operando synchrotron X‐ray imaging coupled with high‐fidelity multiphysics modeling uncovers how inter‐material mixing reshapes keyhole dynamics and drives distinct pore‐formation pathways in multi‐material laser powder bed fusion (LPBF). Composition‐dependent instabilities trigger defects, whereas rescanning suppresses porosity and homogenizes Cu ...
Zhilang Zhang +5 more
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Peristaltic flow of sutterby nanofluid in a stenosed artery with ciliated endothelium and wall roughness under hall and ion slip effects. [PDF]
Mostapha DR, Eldabe Nabil TM, Abbas W.
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Mechanism of wettability alteration, interfacial tension reduction, and oil recovery by novel nanocomposite. Abstract The development of stable nanofluids (NFs) for enhanced oil recovery (EOR) relies on optimizing interactions between reservoir rocks and fluids.
Ehsan Jafarbeigi +2 more
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Intelligent predictive neural network analysis of stefan blowing impacts on chemical reactive flow of Boger nanofluid with thermophoresis and brownian motion. [PDF]
Shaaban SM +6 more
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An intelligent flow measurement system based on pressure drop in straight pipeline: a deep learning approach. [PDF]
Shakarami R, Sadeghi MT.
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Intelligent predictive neural network analysis on two phase bioconvection flow of dusty hybrid nanofluid with Cattaneo Christov flux model and melting phenomena. [PDF]
Raza A +6 more
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Linear and weakly nonlinear stability analyses of Darcy Bénard convection with feedback control. [PDF]
Siddheshwar PG +2 more
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Nonlinear flow characteristics of cement grout in fractures with varying geometries. [PDF]
Li X, Zhao W, Zhang J, Ma Y, Chen L.
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Mathematical modeling for nonlinear slippery-hybrid nanofluid flow with radiation impacts and thermophoretic diffusion via a porous medium. [PDF]
Al-Atawi NO.
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We consider upscaling of non-Darcy flow in heterogeneous porous media. Our approach extends the pressure-based numerical homogenization procedure for linear Darcy flow, due to Durlofsky, to the nonlinear case. The effective coefficients are not constants but rather mildly varying functions of prevailing gradients of pressure.
C. R. Garibotti, M. Peszyńska
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