Development of a New Injector in Gasoline Direct Injection System

2000 ◽  
Author(s):  
Shinji Ueda ◽  
Yukio Mori ◽  
Eiji Iwanari ◽  
Yoshitomo Oguma ◽  
Yousuke Minoura
Keyword(s):  
Direct Injection ◽  
Gasoline Direct Injection ◽  
Injection System

Analysis of the Low Pressure Circuit of a Gasoline Direct Injection System

MTZ worldwide ◽  
2016 ◽  
Vol 77 (2) ◽  
pp. 56-61
Author(s):  
Michael Spitznagel ◽  
Uwe Iben ◽  
Ronny Leonhardt ◽  
Michael Bargende
Keyword(s):  
Direct Injection ◽  
Low Pressure ◽  
Gasoline Direct Injection ◽  
Injection System

Evolution of Gasoline Direct Injection System for Reduction of Real Mode Emission

2019 ◽  
Author(s):  
Soichi Saitoh ◽  
Hitoshi Shibata ◽  
Masahiro Ookuma ◽  
Masahiro Shigenaga
Keyword(s):  
Direct Injection ◽  
Gasoline Direct Injection ◽  
Injection System ◽  
Real Mode

scholarly journals Modeling, Analysis and Simulation of a Gasoline Direct Injection System

2004 ◽  
Vol 37 (22) ◽  
pp. 273-278 ◽  
Author(s):  
E. Alabastri ◽  
L. Magni ◽  
S. Ozioso ◽  
R. Scattolini ◽  
C. Siviero ◽  
...  
Keyword(s):  
Direct Injection ◽  
Gasoline Direct Injection ◽  
Injection System ◽  
Modeling Analysis

Particulate Matter Emission Suppression Strategies in a Turbocharged Gasoline Direct-Injection Engine

2017 ◽  
Vol 139 (10) ◽  
Author(s):  
Zhang Ming ◽  
Zhong Jun ◽  
Capelli Stefano ◽  
Lubrano Luigi
Keyword(s):  
Particulate Matter ◽  
Emission Reduction ◽  
Direct Injection ◽  
Injection Pressure ◽  
Particle Emission ◽  
Gasoline Direct Injection ◽  
Injection System ◽  
Dominant Factor ◽  
Injection Timing ◽  
Wide Range

The development process of a down-sized turbocharged gasoline direct-injection (GDI) engine/vehicle was partially introduced with the focus on particulate matter (PM)/particle number (PN) emission reduction. To achieve this goal, the injection system was upgraded to obtain higher injection pressure. Two types of prototype injectors were designed and compared under critical test conditions. Combined numerical and experimental analysis was made to select the right injector in terms of particle emission. With the selected injector, the effect of injection parameters calibration (injection pressure, start of injection (SOI) timing, number of injection pulses, etc.) on PM/PN emission was illustrated. The number of fuel injection pulses, SOI timing, and injection pressure were found playing the leading role in terms of the particle emission suppression. With single-injection strategy, the injection pressure and SOI timing were found to be a dominant factor to reduce particle emission in warm-up condition and cold condition, respectively; a fine combination of injection timing and injection pressure is generally able to decrease up to 50% of PM emission in a wide range of the engine map. While with multiple injection, up to an order of magnitude PM emission reduction can be achieved. Several New European Driving Cycle (NEDC) emission cycles were arranged on a demo vehicle to evaluate the effect of the injection system upgrade and adjusted calibration. This work will provide a guide for the emission control of GDI engines/vehicles fulfilling future emission legislation.

Multi-component fuel vaporization modelling and its effect on spray development in gasoline direct injection engines

2007 ◽  
Vol 221 (10) ◽  
pp. 1321-1342 ◽  
Author(s):  
S Tonini ◽  
M Gavaises ◽  
C Arcoumanis ◽  
A Theodorakakos ◽  
S Kometani
Keyword(s):  
Fuel Injection ◽  
Direct Injection ◽  
Gasoline Direct Injection ◽  
Injection System ◽  
Fuel Spray ◽  
Mixing Processes ◽  
Engine Operation ◽  
Fuel Vaporization ◽  
Swirl Atomizer ◽  
Gdi Engines

A multi-component fuel vaporization model has been developed and implemented into an in-house multi-phase computational fluid dynamics flow solver simulating the flow, spray, and air-fuel mixing processes taking place in gasoline direct injection (GDI) engines. Multi-component fuel properties are modelled assuming a specified composition of pure hydrocarbons. High-pressure and -temperature effects, as well as gas solubility and compressibility, are considered. Remote droplet vaporization is initially investigated in order to quantify and validate the most appropriate vaporization model for conditions relevant to those realized with GDI engines. Phenomena related to the fuel injection system and pressure-swirl atomizer flow as well as the subsequent spray development are considered using an one-dimensional fuel injection equipment model predicting the wave dynamics inside the injection system, a Eulerian volume of fluid-based two-phase flow model simulating the liquid film formation process inside the injection hole of the swirl atomizer and a Lagrangian spray model simulating the subsequent spray development, respectively. The computational results are validated against experimental data obtained in an optical engine and include laser Doppler velocimetry measurements of the charge air motion in the absence of spray injection and charge coupled device images of the fuel spray injected during the induction stroke. The results confirm that fuel composition affects the overall fuel spray vaporization rate, but not significantly relative to other flow and heat transfer processes taking place during the engine operation.

scholarly journals A Hybrid Taguchi-Regression Algorithm for a Fuel Injection Control System

Sensors ◽  
2021 ◽  
Vol 22 (1) ◽  
pp. 277
Author(s):  
Wen-Chang Tsai
Keyword(s):  
High Pressure ◽  
Control System ◽  
Fuel Injection ◽  
Direct Injection ◽  
Gasoline Direct Injection ◽  
Injection System ◽  
Fuel Injection System ◽  
Direct Injection Engine ◽  
Injection Quantity ◽  
Injection Control

The fuel injection system is one of the key components of an in-cylinder direct injection engine. Its performance directly affects the economy, power and emission of the engine. Previous research found that the Taguchi method can be used to optimize the fuel injection map and operation parameters of the injection system. The electronic control injector was able to steadily control the operation performance of a high-pressure fuel injection system, but its control was not accurate enough. This paper conducts an experimental analysis for the fuel injection quantity of DI injectors using the Taguchi-Regression approach, and provides a decision-making analysis to improve the design of electronic elements for the driving circuit. In order to develop a more stable and energy-saving driver, a functional experiment was carried out. The hybrid Taguchi-regression algorithm for injection quantity of a direct injection injector was examined to verify the feasibility of the proposed algorithm. This paper also introduces the development of a high-pressure fuel injection system and provides a new theoretical basis for optimizing the performance of an in-cylinder gasoline direct injection engine. Finally, a simulation study for the fuel injection control system was carried out under the environment of MATLAB/Simulink to validate the theoretical concepts.

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