Toggle Main Menu Toggle Search

Open Access padlockePrints

Quantifying the effects of fuel compositions and process variables on planar surface area and spray nonuniformity via combined mixture-process design of experiment

Lookup NU author(s): Dr Yiji LuORCiD, Professor Tony Roskilly


Full text for this publication is not currently held within this repository. Alternative links are provided below where available.


© 2017 by Begell House, Inc.The planar surface area and the spray nonuniformity are important parameters for determining spray evaporation characteristics. In this study, the effects of fuel compositions and two process variables (the injection pressure and axial distance from the measurement plane to the nozzle exit) on both planar surface area and spray nonuniformity were experimentally investigated via statistical extinction tomography. The design of experiment (DoE) was adopted to design the experiment procedure and analyze the data in a systematic way by establishing quadratic mixture models crossed with a linear process model. The planar surface area and the spray nonuniformity were calculated from spatial distributions of surface area density at three measurement planes, which were obtained by using an optical patternator SETSCAN OP-200. The results demonstrated that the axial distance had a significant influence on the planar surface area; whereas, the injection pressure did not show a definite trend for all the test fuels, yet the interaction between the injection pressure and fuel compositions played a noticeable role in determining the planar surface area. The spray nonuniformity was primarily influenced by injection pressure, while it exhibited little dependence on the axial distance. In general, the higher the injection pressure, the higher the spray nonuniformity would be. Fuel composition had an appreciable effect on the spray nonuniformity as well. The DoE-derived models were statistically significant according to analysis of variance analysis, and the optimal values in terms of planar surface area and spray nonuniformity were determined via numerical optimization.

Publication metadata

Author(s): Chen L, Feng L, Liu Z, Li G, Li Y, Lu Y, Roskilly AP

Publication type: Article

Publication status: Published

Journal: Atomization and Sprays

Year: 2017

Volume: 27

Issue: 8

Pages: 707-722

Online publication date: 11/09/2017

Acceptance date: 02/04/2016

ISSN (print): 1044-5110

Publisher: Begell House Inc.


DOI: 10.1615/AtomizSpr.2017019656


Altmetrics provided by Altmetric