Analysis of ignition and flame geometric characteristics of lubricating oil leaking from automotive engine onto hot surfaces

TL;DR

This study examines how lubricating oil ignites on hot surfaces in vehicles and how the flame's shape changes over time, helping improve fire safety.

Contribution

The study introduces a new method combining SOBEL threshold segmentation and fractal dimension theory to analyze flame geometry during oil ignition.

Findings

Ignition delay time decreases as hot surface temperature increases, with 450°C as a critical turning point.

Flame fractal dimension effectively quantifies flame complexity and stability, showing a trend of increasing then decreasing over time.

Droplet volume and spray hole size significantly affect the timing and magnitude of the flame's fractal dimension peak.

Abstract

The ignition and combustion process of lubricating oil leaking from an automotive engine onto a hot surface is a major cause of vehicle fires, and the geometric characteristics of the flame directly affect the spread and severity of the fire. Therefore, studying the ignition characteristics of lubricating oil on hot surfaces and quantifying flame behavior is of great significance for vehicle fire safety protection. This study utilizes a self-developed automotive hot surface ignition oil simulation platform, employing the SOBEL threshold segmentation algorithm combined with box-counting fractal dimension theory. It investigates the factors affecting the ignition delay time of automotive engine lubricating oil, the ignition risk and probability on engine hot surfaces, and analyzes the temporal evolution characteristics of the flame fractal dimension of engine lubricating oil. This research provides theoretical support for vehicle fire risk assessment and prevention. The main findings of this study are as follows: (1) As the temperature of the hot surface increases, the ignition delay time generally shows a decreasing trend, with 450°C being a critical turning point; (2) There is an overlap between ignition and non-ignition cases within a specific range, forming a possible ignition zone, and the R² values of the fitting equations for the upper and lower boundaries are both above 95%, indicating a good fit. (3) The fractal dimension can effectively quantify the geometric complexity of the flame’s outer contour, thereby characterizing the stability of the flame’s combustion. The evolution of the fractal dimension of the lubricating oil droplet flame shows a trend of first increasing and then slowly decreasing. The interval from 0 to 1 second is the stable combustion phase, from 2 to 3 seconds is the unstable combustion phase, and from 3 to 5 seconds is the secondary stable combustion phase. During this period, the fractal dimension gradually decreases from the peak to around 1, and the flame’s outer contour transforms from complex to simple. (4) The volume of the droplet (V) affects both the peak value of the fractal dimension (Dmax) of the flame and the time at which it occurs (tmax). The larger the volume, the earlier Dmax occurs. For a 0.1 ml droplet, Dmax occurs earliest (tmax = 1.98 s), while for a 0.5 ml droplet, Dmax appears the latest (tmax = 3.22 s). There is a significant correlation between tmax and droplet volume V (R = 0.995, P = 0.001). The spray hole size has a greater impact on Dmax compared to tmax. With spray hole diameters ranging from 0.4 mm to 0.7 mm, the fractal dimensions of all droplet flames appear at around 2.6 seconds, but the values of Dmax vary significantly. As the spray hole diameter (S) decreases, Dmax approaches 2. When the spray hole diameter is 0.4 mm, Dmax is the highest, reaching 1.605, indicating the most drastic change in the geometric complexity of the flame’s outer contour and the least stable combustion process overall.

Figures