Objective Measures of Base Contamination - Version LUPIN.pdf (691.18 kB)
An objective measure for automotive surface contamination
journal contribution
posted on 2018-05-04, 13:23 authored by Graham Hodgson, Martin Passmore, Andrew GarmoryAndrew Garmory, Adrian P. GaylardSurface contamination, or soiling, of the exterior of road vehicles can be unsightly, reduce visibility and customer satisfaction and, with the
increasing application of surface mounted sensors, can degrade the performance of advanced driver assistance systems. Experimental methods of evaluating surface contamination are increasingly used in the product development process, but the results are generally subjective. The use of computational methods for predicting contamination make objective measures possible, but comparable
data from experiment is an important validation requirement. This paper describes the development of an objective measure of surface contamination arising during experiments. A series of controlled experiments using Ultra Violet (UV) dye doped water are conducted to develop a robust methodology. This process is then applied to a simplified contamination test. An image of a surface, illuminated by an UV lamp, is captured after every test along with a calibration vessel with known fluid depth. The image is processed to remove the influence of variation in incident illumination. The total mass of contamination deposited is then calculated using the calibration vessel to provide the required local fluid depths. The paper includes validation of the technique.
History
School
- Aeronautical, Automotive, Chemical and Materials Engineering
Department
- Aeronautical and Automotive Engineering
Published in
Sae Technical Paper SeriesCitation
HODGSON, G. ...et al., 2018. An objective measure for automotive surface contamination. Sae Technical Paper Series, 2018-01-0727.Publisher
© Society of Automotive Engineers (SAE)Version
- AM (Accepted Manuscript)
Publisher statement
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/Acceptance date
2018-01-25Publication date
2018-04-03Notes
This paper was accepted for publication in the journal Dalton Transactions and the definitive published version is available at https://doi.org/10.4271/2018-01-0727ISSN
0148-7191Publisher version
Language
- en