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Xinyan Li
Researcher at Nanyang Technological University
Publications - 28
Citations - 644
Xinyan Li is an academic researcher from Nanyang Technological University. The author has contributed to research in topics: Premixed flame & Thermoacoustics. The author has an hindex of 14, co-authored 25 publications receiving 446 citations.
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A review of active control approaches in stabilizing combustion systems in aerospace industry
TL;DR: The present work is to outline the current status, technical challenges and development progress of the active control approaches (in open- or closed-loop configurations) and a brief description of feedback control, adaptive control, model-based control and sliding mode control are provided.
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Mitigation of premixed flame-sustained thermoacoustic oscillations using an electrical heater
TL;DR: In this article, an electrical heater is used to mitigate limit cycle thermoacoustic oscillations sustained by a premixed flame, and the optimal position x opt s at which the heater is most effective in damping combustion-excited limit cycle oscillations is shown to be at 0.72 ⩽ x s / L ⌽ 0.75 for the eigenmode with frequency ω 1 / 2 π ≈ 240 ǫ.
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Minimizing transient energy growth of nonlinear thermoacoustic oscillations
TL;DR: In this article, a simplified thermo-acoustic model of a premixed laminar flame with an actuator is developed, which is formulated in state-space by expanding acoustic disturbances via Galerkin series and linearizing flame model.
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Nonorthogonality analysis of a thermoacoustic system with a premixed V-shaped flame
TL;DR: In this article, a model of a choked combustor with a gutter confined is used to study the non-normal interaction between acoustic disturbances and a premixed V-shaped flame anchored to the tip of the gutter.
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Experimental evaluation of anti-sound approach in damping self-sustained thermoacoustics oscillations
TL;DR: In this article, four different least-mean-square (LMS) algorithms are used to determine the anti-sound signal to drive the actuator, and the results show that the LMS-based approach is able to minimize the thermoacoustic oscillations, even when the operating conditions are slightly changed.