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Lin Ma

Researcher at University of Sheffield

Publications -  215
Citations -  7252

Lin Ma is an academic researcher from University of Sheffield. The author has contributed to research in topics: Combustion & Proton exchange membrane fuel cell. The author has an hindex of 40, co-authored 196 publications receiving 5758 citations. Previous affiliations of Lin Ma include North China Electric Power University & University of Leeds.

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Pollutants from the combustion of solid biomass fuels

TL;DR: In this article, a review of the pollutants formed by the combustion of solid biomass fuels is presented, including NOx, smoke and unburned hydrocarbons, SOx, Cl compounds, and particulate metal aerosols.
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Numerical investigations on dynamic stall of low Reynolds number flow around oscillating airfoils

TL;DR: In this paper, a 2D computational investigation on the dynamic stall phenomenon associated with unsteady oscillations around the NACA0012 airfoil at low Reynolds number is presented, where two sets of oscillating patterns with different frequencies, mean oscillating angles and amplitudes are numerically simulated using Computational Fluid Dynamics.
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Computational fluid dynamics (CFD) mesh independency techniques for a straight blade vertical axis wind turbine

TL;DR: In this paper, the authors numerically investigated four methods, namely mesh refinement, General Richardson Extrapolation (GRE), Grid Convergence Index (GCI), and the fitting method, to obtain a mesh independent solution for a straight blade vertical axis wind turbine (SB-VAWT) power curve using computational fluid dynamics (CFD).
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Combustion of a Single Particle of Biomass

TL;DR: In this article, both experimental and mathematical modeling approaches are employed to study the combustion characteristics of a single biomass particle ranging in size from 10 µm to 20 mm, and different subprocesses such as moisture evaporation, devolatilization, tar cracking, gas-phase reactions, and char gasification are examined.
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Turbulence modeling of deep dynamic stall at relatively low Reynolds number

TL;DR: In this article, the authors investigated numerically the unsteady separated turbulent flows around an oscillating airfoil pitching in a sinusoidal pattern that induces deep dynamic stalls in the regime of relatively low Reynolds number.