Object shape-based methodology for optical analysis of contaminated engine lubricants

H. Aghayan, Jun Yang, E. Bordatchev
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Abstract

Introduction of gasoline, water, coolant and other contaminants into the engine lubricant as well as the normal aging process affects the optical properties of liquid medium, such as transparency, absorption, and refractive index. A new methodology for optical analysis of contaminated engine lubricants is proposed and described in details in this paper. Novelty of the proposed methodology consists of obtaining and analysis of an optical image that combines an object with known periodical shape and lubricant. The object, e.g. a stainless steel woven wire cloth with a mesh size of 65×65 µm and a circular wire diameter of 33 µm was placed behind a microfluidic channel, containing engine lubricant and optical images of flowing lubricant with stationary object were acquired and analysed. Several parameters of acquired optical images, such as, color of lubricant and object, object shape width at object and lubricant levels, object relative color, and object width non-uniformity coefficient, were proposed. Measured on-line pa rameters were used for optical analysis of fresh and contaminated lubricants. Estimation of contaminant presence an d lubricant condition was performed by comparison of parameters for fresh and contaminated lubricants. Developed m ethodology was verified experimentally showing ability to distinguish lubricants with 1%, 4%, 7%, and 10% coolant contamination.
基于物体形状的污染发动机润滑油光学分析方法
汽油、水、冷却液等污染物进入发动机润滑油以及正常的老化过程会影响液体介质的光学性质,如透明度、吸收率、折射率等。本文提出并详细介绍了一种用于污染发动机润滑油光学分析的新方法。该方法的新颖性在于获取和分析具有已知周期形状和润滑剂的物体的光学图像。将网格尺寸为65×65µm、圆丝直径为33µm的不锈钢编织钢丝布放置在含有发动机润滑油的微流控通道后面,获取并分析静止物体流动润滑油的光学图像。提出了润滑油和物体的颜色、物体和润滑剂层的物体形状宽度、物体的相对颜色和物体宽度不均匀系数等参数。在线测量的pa参数用于新鲜和污染润滑油的光学分析。通过比较新鲜润滑油和被污染润滑油的参数,对污染物的存在和润滑条件进行了估计。开发的方法经过实验验证,显示能够区分1%、4%、7%和10%冷却剂污染的润滑油。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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