Characterization of Local Fuel Concentrations and Internal Dynamics in D.I. Diesel Sprays

1997 ◽  
Author(s):  
José Ma Desantes ◽  
Jean Arrègle ◽  
José. V. Pastor
2021 ◽  
Vol 75 (2-3) ◽  
pp. 119-131
Author(s):  
Albert A. Smith ◽  
Nicolas Bolik-Coulon ◽  
Matthias Ernst ◽  
Beat H. Meier ◽  
Fabien Ferrage

AbstractThe dynamics of molecules in solution is usually quantified by the determination of timescale-specific amplitudes of motions. High-resolution nuclear magnetic resonance (NMR) relaxometry experiments—where the sample is transferred to low fields for longitudinal (T1) relaxation, and back to high field for detection with residue-specific resolution—seeks to increase the ability to distinguish the contributions from motion on timescales slower than a few nanoseconds. However, tumbling of a molecule in solution masks some of these motions. Therefore, we investigate to what extent relaxometry improves timescale resolution, using the “detector” analysis of dynamics. Here, we demonstrate improvements in the characterization of internal dynamics of methyl-bearing side chains by carbon-13 relaxometry in the small protein ubiquitin. We show that relaxometry data leads to better information about nanosecond motions as compared to high-field relaxation data only. Our calculations show that gains from relaxometry are greater with increasing correlation time of rotational diffusion.


1996 ◽  
Author(s):  
F. Payri ◽  
J. M. Desantes ◽  
J. Arrégle
Keyword(s):  

2016 ◽  
Author(s):  
R. Lockett ◽  
Mahesh Jeshani ◽  
Kassandra Makri ◽  
Richard Price

Author(s):  
Wolfgang Fimml ◽  
Christian Fuchs ◽  
Thomas Jauk ◽  
Andreas Wimmer

The characterization of diesel sprays for the simulation-based optimization of injection strategies and combustion chamber geometries is of particular importance to reach future targets concerning performance, fuel consumption and emissions. The prediction quality of this simulation process depends largely upon the adequate calibration of the spray models used. This paper aims to present the experimental setup of a spray box, the applied optical visualization techniques and the results. Furthermore, it will show the adjustment and the validation of the simulation models based on the experimental analysis.


2019 ◽  
Vol 9 (23) ◽  
pp. 5248
Author(s):  
Bottega ◽  
Dongiovanni

The paper presents a method for the macroscopic characterization of diesel sprays starting from digital images. Macroscopic spray characterization mainly consists in the definition of two parameters, namely penetration and cone angle. The latter can be evaluated according to many possible definitions, all based on the spray contour that is obtained by means of image thresholding. Therefore, the obtained cone angle value depends on the adopted angle definition and on the used thresholding algorithm. In order to avoid this double dependence, an alternative method has hence been proposed. The algorithm does not require the image thresholding and has an intrinsic cone angle definition. The algorithm takes advantage of principal component analysis technique and allows for a direct estimation of spray penetration and cone angle by comparing the original image with a database made of artificial spray images. In the present work, images coming from two different experiments are analyzed with the proposed method and results are compared with those obtained with a traditional procedure based on the Otsu’s image thresholding and four cone angle definitions.


2005 ◽  
Author(s):  
José M. Desantes ◽  
José M. Pastor ◽  
Simón Martínez ◽  
José M. Riesco

2016 ◽  
Vol 49 (24) ◽  
pp. 9597-9604 ◽  
Author(s):  
Shiva Farhangi ◽  
Remi Casier ◽  
Lu Li ◽  
Janine Lydia Thoma ◽  
Jean Duhamel

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