Liquid sheet formation and spray characterization of N-heptane spray jet from a swirl atomizer: Numerical analysis and validation

Author:

Sun Yaquan12ORCID,Vegad Chetankumar S.3ORCID,Li Yongxiang12ORCID,Dreßler Louis124ORCID,Renou Bruno3ORCID,Nishad Kaushal124ORCID,Demoulin François-Xavier3ORCID,Hasse Christian4ORCID,Sadiki Amsini125ORCID

Affiliation:

1. Institute of Energy and Power Plant Technology 1 , Otto-Berndt-Straße 3, Darmstadt 64287, Hessen, Germany

2. Institute of Reactive Flows and Diagnostics 2 , Otto-Berndt-Straße 3, Darmstadt 64287, Hessen, Germany

3. CNRS UMR6614-CORIA, Universite de Rouen Normandie, CNRS University and INSA of Rouen 3 , Saint Étienne du Rouvray, Rouen 76801, Normandie, France

4. Institute of Simulation of Reactive Thermo-fluid Systems 4 , Otto-Berndt-Straße 2, Darmstadt 64287, Hessen, Germany

5. Laboratoire de Modéllsation Mécanique, Energétlque et Matérlaux, ISTA-Kinshasa 5 , Avenue Aerodrome No. 3930, Commune de Barumbu, Kinshasa 6593, Democratic Republic of the Congo

Abstract

This paper analyzes the liquid atomization mechanisms of an N-heptane spray jet emerging from a swirl simplex atomizer using numerical and experimental techniques. In particular, a direct seamless coupled Volume of Fluid and Lagrangian Particle Tracking approach together with adaptive mesh refinement within the Large Eddy Simulation framework offers a suitable way to accurately simulate the complex behavior of spray atomization, spray evolution, and droplet dispersion as a whole while using manageable computational cost. The achieved simulation results are first presented in terms of qualitative properties, characteristics of liquid sheet, air core generation, flow recirculation zones, and vortex patterns. For validation purposes, the numerical results are then compared with detailed experimental data obtained by a two-component Phase Doppler Anemometry technique. The assessment includes especially droplet statistics which strongly determine subsequent possible spray combustion process and related product and species emissions. The overall reported agreement demonstrates the capability of the adopted methodology in predicting and comprehensively investigating the complex phenomena associated with a pressure swirl fuel atomizer. In particular, it is found out that the normalized number-based probability density function of droplet size fits well with a lognormal distribution.

Funder

China Scholarship Council

Deutsche Forschungsgemeinschaft

European Union's Horizon 2020 Research

Publisher

AIP Publishing

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