Skip to main content
Kent Academic Repository

Quantitative Characterization of Diesel Sprays using Digital Imaging Techniques

Shao, Jiaqing, Yan, Yong, Greeves, G., Smith, S. (2003) Quantitative Characterization of Diesel Sprays using Digital Imaging Techniques. Measurement Science and Technology, 14 (7). pp. 1110-1116. ISSN 0957-0233. (doi:10.1088/0957-0233/14/7/328) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:7620)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL:
https://doi.org/10.1088/0957-0233/14/7/328

Abstract

This paper presents the application of digital imaging and image processing techniques for the quantitative characterization of diesel sprays. An optically accessible, constant volume chamber was configured to allow direct photographic imaging of diesel sprays, which were generated from a six-hole nozzle in a non-evaporating and pressurized environment. A high-resolution CCD camera and a flash light source were used to capture the images of the sprays. Dedicated image processing software has been developed to quantify a set of macroscopic, characteristic parameters of the sprays including tip penetration, near- and far-field angles. The spray parameters produced using this software are compared with those obtained using manual methods. The results obtained under typical spray conditions demonstrate that the software is capable of producing more accurate, consistent and efficient results than the manual methods. An application of the imaging processing software to the characterization of diesel sprays for a valve covered orifice nozzle is also presented and discussed.

Item Type: Article
DOI/Identification number: 10.1088/0957-0233/14/7/328
Subjects: T Technology > TK Electrical engineering. Electronics. Nuclear engineering > TK7800 Electronics
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Yiqing Liang
Date Deposited: 12 Sep 2008 11:49 UTC
Last Modified: 05 Nov 2024 09:39 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/7620 (The current URI for this page, for reference purposes)

University of Kent Author Information

Shao, Jiaqing.

Creator's ORCID:
CReDIT Contributor Roles:

Yan, Yong.

Creator's ORCID: https://orcid.org/0000-0001-7135-5456
CReDIT Contributor Roles:
  • Depositors only (login required):

Total unique views for this document in KAR since July 2020. For more details click on the image.