1997-10-01

Measurement of Wall Film Thickness in the Intake Manifold of a Standard Production SI Engine by a Spectroscopic Technique 972832

This paper reports on a non-intrusive method for measuring the liquid fuel film thickness in the intake manifold of a series production SI engine with multi-point fuel injection.
The technique is based on laser-induced fluorescence. The optical set-up uses a bifurcated optical fibre bundle for transmission of the laser light for excitation of the fluid and for detecting of the fluorescence light. Due to the special design of the optical probe head it is highly sensitive for thin film measurements and it allows the accurate determination of the fuel film thickness even between a few and 100 μm. Special emphasis is placed on the selection of an adequate tracer added to the iso-octane fuel to achieve the correct film thickness even under vaporizing conditions, and on a detailed study of the parameters influencing the evaluated film thickness.
Crank angle resolved measurements of the wall film thickness at different locations in the intake manifold and at different engine speeds and loads demonstrate the capability of the technique and even allow the estimation of the total fuel mass stored in the wall film.

SAE MOBILUS

Subscribers can view annotate, and download all of SAE's content. Learn More »

Access SAE MOBILUS »

Members save up to 16% off list price.
Login to see discount.
Special Offer: Download multiple Technical Papers each year? TechSelect is a cost-effective subscription option to select and download 12-100 full-text Technical Papers per year. Find more information here.
We also recommend:
TECHNICAL PAPER

A New Approach of Planar Laser Induced Fluorescence Applied to Fuel/Air Ratio Measurement in the Compression Stroke of an Optical S.I. Engine

941988

View Details

TECHNICAL PAPER

Piston Temperature Measurement by Use of Thermographic Phosphors and Thermocouples in a Heavy-Duty Diesel Engine Run Under Partly Premixed Conditions

2005-01-1646

View Details

TECHNICAL PAPER

Development of a Simple Model to Predict Spatial Distribution of Cycle-Averaged Wall Heat Flux Using Artificial Neural Networks

2003-32-0018

View Details

X