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Atomization and Sprays

Published 12 issues per year

ISSN Print: 1044-5110

ISSN Online: 1936-2684

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 1.2 To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) 5-Year IF: 1.8 The Immediacy Index is the average number of times an article is cited in the year it is published. The journal Immediacy Index indicates how quickly articles in a journal are cited. Immediacy Index: 0.3 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.00095 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.28 SJR: 0.341 SNIP: 0.536 CiteScore™:: 1.9 H-Index: 57

Indexed in

A SPHERICAL VOLUME INTERACTION DDM APPROACH FOR DIESEL SPRAY MODELING

Volume 25, Issue 4, 2015, pp. 335-374
DOI: 10.1615/AtomizSpr.2015010623
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ABSTRACT

This work presents an implementation and evaluation of an alternative approach for describing exchange of mass, momentum, and energy in diesel spray computational fluid dynamics (CFD) simulations using discrete droplet modeling (DDM). During the calculation, each parcel in the domain is surrounded by a spherical volume of ambient gas and interacts first with it instead of interacting directly with the cell volume hosting the parcel. In this way, the interaction volume is independent of the mesh and can be located in more than one cell. This model was implemented using the Open-FOAM CFD opensource C++ library. It was developed with the aim to reduce grid dependencies related to spray-grid mutual orientation and to the choice of the injector nozzle position with respect to the cell hosting it. All the submodel constants were set to match experimental data of a chosen baseline case in nonreactant vaporizing conditions. Then the new approach predictions were first compared to standard DDM on moving the injector position within the hosting cell and later on varying ambient density and injection pressure of fuel. Also, a study of the dependency of the results on the spray-grid mutual orientation was carried out. High-speed imaging and Rayleigh-scattering measurements taken from the engine combustion department (ECN) web database were used to assess numerical results: a good accuracy in the predictions of liquid and vapor spray penetration as well as axial and radial mixture fraction profiles, can be simultaneously achieved on varying thermophysical and geometrical settings. If applied to engine calculations, then the reduced dependency on the nozzle position becomes appreciable when injector with multiple nozzles are used.

CITED BY
  1. Torelli Roberto, Som Sibendu, Pei Yuanjiang, Zhang Yu, Voice Alexander, Traver Michael, Cleary David, Comparison of In-Nozzle Flow Characteristics of Naphtha and N-Dodecane Fuels, SAE Technical Paper Series, 1, 2017. Crossref

  2. Nygren Andreas, Karlsson Anders, Validation of the VSB2 Spray Model for Ethanol under Diesel like Conditions, SAE Technical Paper Series, 1, 2017. Crossref

  3. Paredi Davide, Lucchini Tommaso, D'Errico Gianluca, Onorati Angelo, Montanaro Alessandro, Allocca Luigi, Ianniello Roberto, Combined Experimental and Numerical Investigation of the ECN Spray G under Different Engine-Like Conditions, SAE Technical Paper Series, 1, 2018. Crossref

  4. Saha Kaushik, Quan Shaoping, Battistoni Michele, Som Sibendu, Senecal P. K., Pomraning Eric, Coupled Eulerian Internal Nozzle Flow and Lagrangian Spray Simulations for GDI Systems, SAE Technical Paper Series, 1, 2017. Crossref

  5. Yang Mian, Chen Yuanpei, Shao Yiming, Effects of different droplet dispersion modeling methods on diesel spray simulation in Eulerian-Lagrangian framework, Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 235, 6, 2021. Crossref

  6. Ailaboina Akhil, Saha Kaushik, On Modeling of Spray G ECN Using ROI-Based Eulerian-Lagrangian Simulation, Frontiers in Mechanical Engineering, 8, 2022. Crossref

  7. Zhang Yanzhi, Jia Ming, Wang Pengfei, Chang Yachao, Yi Ping, Liu Hong, He Zhixia, Construction of a decoupling physical–chemical surrogate (DPCS) for practical diesel fuel, Applied Thermal Engineering, 149, 2019. Crossref

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