scholarly journals Effect of Oscillating Inlet Flow on Combustion Instability

2019 ◽  
Vol 37 (4) ◽  
pp. 1080-1088
Author(s):  
Sayed Mousavi ◽  
Saeid Kheradmand ◽  
Mohsen Mirzabozorg
Keyword(s):  
Combustion Instability ◽  
Inlet Flow

Effect of delay time on the combustion instability in a single-element combustor

2021 ◽  
Vol 178 ◽  
pp. 783-792
Author(s):  
Jinhyun Bae ◽  
Seokgyu Jeong ◽  
Youngbin Yoon
Keyword(s):  
Delay Time ◽  
Combustion Instability ◽  
Single Element

scholarly journals Random pore structure and REV scale flow analysis of engine particulate filter based on LBM

Open Physics ◽  
2020 ◽  
Vol 18 (1) ◽  
pp. 881-896
Author(s):  
Chunrui Wu ◽  
Tiechen Zhang ◽  
Jiale Fu ◽  
Xiaori Liu ◽  
Boxiong Shen
Keyword(s):  
Single Channel ◽  
Flow Analysis ◽  
Flow Characteristics ◽  
Axial Direction ◽  
Particulate Filter ◽  
Random Structure ◽  
Structure Generation ◽  
Inlet Flow ◽  
Random Structures ◽  
Boltzmann Method

Abstract In this article, lattice Boltzmann method (LBM) is used to simulate the multi-scale flow characteristics of the engine particulate filter at the pore scale and the representative elementary volume (REV) scale, respectively. Four kinds of random wall-pore structures are considered, which are circular random structure, square random structure, isotropic quartet structure generation set (QSGS), and anisotropic QSGS, with difference analysis done. In terms of the REV scale, the influence of different inlet flow velocities and wall permeabilities on the flow in single channel is analyzed. The result indicates that the internal seepage laws of random structures constructed in this article and single channel are in accordance with Darcy’s law. Circular random structure has better permeability than square random structure. Isotropic QSGS has better fluidity than anisotropic one. The flow in single channel is similar to Poiseuille flow. The flow lines in the channel are complicated and a large number of vortices appear at the ends of channel with high inlet flow rate. With the increase of inlet velocity, the static pressure in channel gradually increases along the axial direction as well as the seepage velocity. The temperature field in the channel becomes more uniform as the flow velocity increases, and the higher temperature distribution appears on the wall of the porous media.

scholarly journals Interpretable Deep Learning for Monitoring Combustion Instability

2020 ◽  
Vol 53 (2) ◽  
pp. 832-837
Author(s):  
Tryambak Gangopadhyay ◽  
Sin Yong Tan ◽  
Anthony LoCurto ◽  
James B. Michael ◽  
Soumik Sarkar
Keyword(s):  
Deep Learning ◽  
Combustion Instability
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