Testing of a scramjet engine model in Mach 6 vitiated air flow

Author(s):  
Tetsuo Hiraiwa ◽  
Shigeru Sato ◽  
Sadatake Tomioka ◽  
Takeshi Kanda ◽  
Takashi Shimura ◽  
...  
2013 ◽  
Vol 17 (3) ◽  
pp. 9-14
Author(s):  
Inyoung Yang ◽  
Yang-Ji Lee ◽  
Young-Moon Kim ◽  
Kyung-Jae Lee
Keyword(s):  

2016 ◽  
Vol 39 (12) ◽  
pp. 1885-1897 ◽  
Author(s):  
Changhui Wang ◽  
Zhiyuan Liu

A novel method for mass air flow (MAF) sensor bias compensation and error map (or look-up table) adaptation with model error correction is proposed. A key feature of the approach is its method of handling and storing operating-point-dependent MAF sensor errors due to installation and ageing in diesel engines; such errors lead to adverse impacts on emission performance. The model of the MAF sensor error depending on the engine operating point is represented as a two-dimensional (2D) map, which is described as a piecewise bilinear interpolation model in the form of a vector–vector dot product. The mean-value engine model of a diesel engine with additional model biases is analysed and employed to improve the estimation precision of the 2D map. Based on the combination of the 2D map regression model and diesel engine mean-value engine model with additional model biases, a linear parameter varying adaptive sliding mode observer is designed, which achieves the disturbance suppression for the nonlinear model errors, as well as the simultaneous estimation of the system state, linear model errors and map parameters. The convergence of the proposed algorithm is proven under the conditions of the persistent excitation and given inequalities. The observer is validated against simulation data from the engine software enDYNA provided by TESIS. The results demonstrate that the estimation precision of the MAF sensor error map can be improved using the proposed method.


Author(s):  
Sean Torrez ◽  
Nathan Scholten ◽  
Daniel Micka ◽  
James Driscoll ◽  
Michael Bolender ◽  
...  
Keyword(s):  

Author(s):  
J. K. Rencher ◽  
A. H. Massoudi ◽  
D. W. Guillaume

The purpose of this research is to accurately simulate combustion in a scramjet engine using a CFD (Computational Fluid Dynamics) software package called Fluent and to validate the results with existing experimental data from NASA Langley Research Center[1]. The use of a particular engine characteristic called compression ramp injection was used to increase the mixing of air and fuel inside the combustion duct as well as provide the necessary compression of the fuel/air mixture. The duct length and other pertinent dimensions were also determined by published data from NASA [1]. The engine model used is relatively small and, at this stage, can be thought of as a two dimensional combustor duct rather than a true engine. The scope of this project involves the simultaneous calculations and analysis of both combustion and high-speed compressible flow. Thermodynamic data was used to create hydrogen fuel in a Fluent module called prePDF (probability density function), which calculates the look-up tables and chemical reactions for the fuel. Non-premixed combustion at Mach 2 was carried out using various equivalence ratios, (ratio of actual fuel/air mixture to stoichiometric fuel/air mixture) ranging from .4 to 1.4. The basic characteristics of the numerical model are as follows: steady state; non-premixed combustion; hydrogen fuel PDF model with 4 species; k-epsilon viscous model. Results of the numerical analysis include a comparison of combustion efficiencies for various equivalence ratios to the combustion efficiencies and equivalence ratios obtained by NASA in their experimental ground test facility at Langley Research Center [1].


2000 ◽  
Vol 2000 (0) ◽  
pp. 26
Author(s):  
Takakage ARAI ◽  
Jiro KASAHARA ◽  
Junji MIURA ◽  
Fuminori SAKIMA ◽  
Takayuki AMI

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