Objective Measures of Base Contamination - Version LUPIN.pdf (691.18 kB)
An objective measure for automotive surface contamination
journal contributionposted on 2018-05-04, 13:23 authored by Graham Hodgson, Martin Passmore, Andrew GarmoryAndrew Garmory, Adrian P. Gaylard
Surface 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.
- Aeronautical, Automotive, Chemical and Materials Engineering
- Aeronautical and Automotive Engineering
Published inSae Technical Paper Series
CitationHODGSON, G. ...et al., 2018. An objective measure for automotive surface contamination. Sae Technical Paper Series, 2018-01-0727.
Publisher© Society of Automotive Engineers (SAE)
- AM (Accepted Manuscript)
Publisher statementThis 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/
NotesThis paper was accepted for publication in the journal Dalton Transactions and the definitive published version is available at https://doi.org/10.4271/2018-01-0727