Abo Bibliothek: Guest
Atomization and Sprays

Erscheint 12 Ausgaben pro Jahr

ISSN Druckformat: 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

THREE-DIMENSIONAL SIMULATION OF EFFERVESCENT ATOMIZATION SPRAY

Volumen 19, Ausgabe 1, 2009, pp. 75-90
DOI: 10.1615/AtomizSpr.v19.i1.50
Get accessGet access

ABSTRAKT

A comprehensive three-dimensional model of droplet-gas two-phase flow is presented to examine the evolution of spray along the downstream of the exit orifice in an effervescent atomizer. For gas phase, the Navier-Stokes equations with k−ε turbulence model are solved, considering two-way coupling of the interaction between droplets and the gas phase. The dispersed droplet phase is modeled as Lagrangian entities, accounting for the physical phenomena of droplet generation from primary and secondary breakup, droplet collision and coalescence, droplet momentum, and heat transfer. This model is used to calculate the mean size and statistical distributions of atomized droplets under various operating conditions such as air-to-liquid ratio (ALR), injection pressure, liquid flow rate, nozzle exit diameter, and liquid material. The simulation results compare well with the experimental data, with an accuracy of 5% for the atomizer operated under annular flow conditions. Gas flow and spray evolution of the droplets are predicted; effects of operating conditions on the droplet mean size and distributions are discussed. Results show that ALR is one of the most important control parameters. Increasing ALR will decrease the droplet size gradually and finally tend to a certain limitation. A decreasing nozzle exit favors primary breakup, while high injection pressure has more influence on the secondary atomization. An increasing liquid mass flow rate has better primary breakup and worse overall atomization downstream. The liquid properties also have great impact on the droplet atomization. The less the viscosity and surface tension, the easier liquid breaks into smaller drops.

REFERENZIERT VON
  1. Belhadef A., Vallet A., Amielh M., Anselmet F., Pressure-swirl atomization: Modeling and experimental approaches, International Journal of Multiphase Flow, 39, 2012. Crossref

  2. Qian Lijuan, Lin Jianzhong, Xiong Hongbing, Leung Chan Tat, Theoretical Investigation of the Influence of Liquid Physical Properties on Effervescent Atomization Performance, Journal of Fluids Engineering, 133, 10, 2011. Crossref

  3. QIAN Lijuan, LIN Jianzhong, XIONG Hongbing, Simulation of Droplet-gas Flow in the Effervescent Atomization Spray with an Impinging Plate, Chinese Journal of Chemical Engineering, 17, 1, 2009. Crossref

  4. Ochowiak M., The effervescent atomization of oil-in-water emulsions, Chemical Engineering and Processing: Process Intensification, 52, 2012. Crossref

  5. Gadgil Hrishikesh P., Raghunandan B. N., Model for Predicting the Mean Drop Size in Effervescent Sprays, Journal of Propulsion and Power, 27, 5, 2011. Crossref

  6. Gadgil Hrishikesh, Raghunandan B.N., Model for Predicting the Mean Drop Size in Effervescent Sprays, Journal of Propulsion and Power, 27, 5, 2011. Crossref

  7. Pougatch Konstantin, Salcudean Martha, McMillan Jennifer, Influence of mixture non-uniformity on the performance of an effervescent nozzle, Fuel, 116, 2014. Crossref

  8. Qian Lijuan, Lin Jianzhong, Bao Fubing, Numerical Models for Viscoelastic Liquid Atomization Spray, Energies, 9, 12, 2016. Crossref

  9. Mousavi Milad, Dolatabadi Ali, Numerical study of the effect of gas-to-liquid ratio on the internal and external flows of effervescent atomizers, Transactions of the Canadian Society for Mechanical Engineering, 42, 4, 2018. Crossref

  10. Qian Lijuan, Song Shaobo, Li Xiaolu, A New Spray Approach to Produce Uniform Ultrafine Coatings, Journal of Nanotechnology, 2018, 2018. Crossref

  11. Amedorme Sherry Kwabla, Apodi Joseph, Computational study of two phase flow in pressure swirl atomizer using entirely Eulerian model, 2016, 2018. Crossref

  12. Qian Lijuan, Lin Jianzhong, Xiong Hongbin, A Fitting Formula for Predicting Droplet Mean Diameter for Various Liquid in Effervescent Atomization Spray, Journal of Thermal Spray Technology, 19, 3, 2010. Crossref

  13. Omer K., Ashgriz N., Spray Nozzles, in Handbook of Atomization and Sprays, 2011. Crossref

  14. Shariatnia Shadi, Asadi Amir, Jarrahbashi Dorrin, Experimental analysis of supercritical-assisted atomization, Physics of Fluids, 33, 1, 2021. Crossref

  15. Czernek Krystian, Hyrycz Michał, Krupińska Andżelika, Matuszak Magdalena, Ochowiak Marek, Witczak Stanisław, Włodarczak Sylwia, State-of-the-Art Review of Effervescent-Swirl Atomizers, Energies, 14, 10, 2021. Crossref

  16. Shariatnia Shadi, Asadi Amir, Jarrahbashi Dorrin, Experimental analysis of temperature effects in supercritical-assisted atomization, Physics of Fluids, 33, 10, 2021. Crossref

  17. Chen Bo, Gao Dianrong, Li Yanbiao, Chen Chaoqun, Wang Zesheng, Zhong Qi, Sun Peng, Wu Shaofeng, Wang Zhiqiang, Liang Yingna, Influence of atomizing core on droplet dynamic behavior and machining characteristics under synergistically enhanced twin-fluid spray, The International Journal of Advanced Manufacturing Technology, 110, 9-10, 2020. Crossref

  18. Gursch Johannes, Hohl Roland, Armenante Marco E., Dujmovic Diana, van der Wel Peter, Brozio Jörg, Krumme Markus, Rasenack Norbert, Khinast Johannes, Continuous Drying of Small Particles for Pharmaceutical Applications—An Evaluation of Selected Lab-Scale Systems, Organic Process Research & Development, 19, 12, 2015. Crossref

  19. Qiao Wentong, Qian Lijuan, Zhu Chenlin, Liu Jingqi, Optimal design of a pneumatic atomizer using response surface method to obtain more uniform coatings, Advances in Mechanical Engineering, 14, 5, 2022. Crossref

  20. Kourmatzis A., Lowe A., Masri A. R., Conditioned Analysis of Effervescent Atomization, Journal of Energy Engineering, 143, 5, 2017. Crossref

  21. Broukal Jakub, Hájek Jiří, Validation of an effervescent spray model with secondary atomization and its application to modeling of a large-scale furnace, Applied Thermal Engineering, 31, 13, 2011. Crossref

  22. Amedorme Sherry K., Roselina NR.N., VALIDATION OF Σ−YLIQ ATOMIZATION MODEL IN PRESSURE SWIRL ATOMIZER, International Journal of Engineering Technologies and Management Research, 9, 9, 2022. Crossref

  23. Amaro Jordan, Mendiburu Andrés Z., dos Santos Leila Ribeiro, de Carvalho João A., Frozen core-annular flow model for effervescent atomizer, Journal of the Brazilian Society of Mechanical Sciences and Engineering, 44, 10, 2022. Crossref

Digitales Portal Digitale Bibliothek eBooks Zeitschriften Referenzen und Berichte Forschungssammlungen Preise und Aborichtlinien Begell House Kontakt Language English 中文 Русский Português German French Spain