This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Fast NGC: A New On-Line Technique for Fuel Flow Measurement
Technical Paper
2019-01-0062
ISSN: 0148-7191, e-ISSN: 2688-3627
This content contains downloadable datasets
Annotation ability available
Sector:
Language:
English
Abstract
Knowledge of fuel mass injected in an individual cycle is important for engine performance and modelling. Currently direct measurements of fuel flow to individual cylinders of an engine are not possible on-engine or in real-time due to a lack of available appropriate measurement techniques. The objective of this work was to undertake real-time Coriolis fuel flow measurement using GDI injectors on a rig observing fuel mass flow rate within individual fuel injections. This paper evaluates the potential of this technology - combining Coriolis Flow Meters (CFMs) with Prism signal processing together known as Fast Next Generation Coriolis (Fast NGC), and serves as a basis for future transitions on-engine applications. A rig-based feasibility study has been undertaken injecting gasoline through a GDI injector at 150 bar in both single shot mode and at a simulated engine speeds of 1788 and 2978 rpm. The results show that these injections can, in principle, be observed. In addition a number of features of the Fast NGC system unique to gasoline are discussed, and the repeatability of the technique is preliminarily assessed. The study concludes that the Fast NGC system has the potential to measure individual injector flow rates on-engine in real-time.
Recommended Content
Authors
- Felix Leach - University of Oxford
- Martin Davy - University of Oxford
- Manus Henry - University of Oxford
- Maruthi Rochishnu Malladi - University of Oxford
- Michael Tombs - University of Oxford
- Feibiao Zhou - University of Oxford
- Martin Gold - BP International Ltd.
- Richard Pearson - BP International Ltd.
Citation
Leach, F., Davy, M., Henry, M., Malladi, M. et al., "Fast NGC: A New On-Line Technique for Fuel Flow Measurement," SAE Technical Paper 2019-01-0062, 2019, https://doi.org/10.4271/2019-01-0062.Data Sets - Support Documents
Title | Description | Download |
---|---|---|
Unnamed Dataset 1 | ||
Unnamed Dataset 2 | ||
Unnamed Dataset 3 | ||
Unnamed Dataset 4 |
Also In
References
- Zhao , H. Overview of Gasoline Direct Injection Engines Advanced Direct Injection Combustion Engine Technologies and Development: Gasoline and Gas Engines Woodhead Publishing Ltd. 2010
- Eastwood , P. Particulate Emissions from Vehicles SAE International and John Wiley & Sons, Ltd 2008
- Leach , F. , Knorsch , T. , Laidig , C. , and Wiese , W. A Review of the Requirements for Injection Systems and the Effects of Fuel Quality on Particulate Emissions from GDI Engines SAE Technical Paper 2018-01-1710 2018 10.4271/2018-01-1710
- Bosch , W. The Fuel Rate Indicator: A New Measuring Instrument for Display of the Characteristics of Individual Injection SAE Technical Paper 660749 1966 10.4271/660749
- Arcoumanis , C. and Baniasad , M. Analysis of Consecutive Fuel Injection Rate Signals Obtained by the Zeuch and Bosch Methods SAE Technical Paper 930921 1993 10.4271/930921
- Payri , R. , Gimeno , J. , Marti-Aldaravi , P. , and Vaquerizo , D. Momentum Flux Measurements on an ECN GDi Injector SAE Technical Paper 2015-01-1893 2015 10.4271/2015-01-1893
- Hentschel , L. et al. Der Neue 1,0l TSI mit 85 kW Otto Partikelfilter-Saubere, Effiziente Performance Für Den UP! GTI 26. Aachener Kolloquium Aachen, Germany 2017 971 986
- Baker , R.C. Flow Measurement Handbook: Industrial Designs, Operating Principles, Performance, and Applications Second Cambridge Cambridge University Press 2016
- Leach , F. , Davy , M. , Henry , M. , Tombs , M. et al. A New Method for Measuring Fuel Flow in an Individual Injection in Real Time SAE Technical Paper 2018-01-0285 2018 10.4271/2018-01-0285
- Leach , F. et al. Fast Coriolis Mass Flow Metering for Monitoring Diesel Fuel Injection Flow Measurement and Instrumentation 58 1 5 2017
- Henry , M. , Bushuev , O. , and Ibryaeva , O. Prism Signal Processing for Sensor Condition Monitoring IEEE International Symposium on Industrial Electronics Edinburgh, UK 2017
- Henry , M. et al. The Prism: Efficient Signal Processing for the Internet of Things IEEE Industrial Electronics Magazine 11 4 22 32 2017
- Henry , M.P. 2016
- Henry , M.P. An Introduction to Prism Signal Processing Applied to Sensor Validation Measurement Techniques 60 12 1233 1237 2018
- Mohd Murad , S. , Camm , J. , Davy , M. , Stone , R. et al. Spray Behaviour and Particulate Matter Emissions with M15 Methanol/Gasoline Blends in a GDI Engine SAE Technical Paper 2016-01-0991 2016 10.4271/2016-01-0991
- Sandford , M. , Page , G. , and Crawford , P. The all New AJV8 SAE Technical Paper 2009-01-1060 2009 10.4271/2009-01-1060