Effect of Pilot and Post Injection Timing on Combustion, Emission and Performance of a Diesel Engine

Madaan, Anil; Goel, Tarun; Gupta, B. L.; Srivastava, Rahul; Fuskele, Veeresh

doi:10.2139/ssrn.3824590

Cited by 1 publication

(1 citation statement)

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“…Common Rail, an electronic direct injection system, is an advanced system because it modifies the injection parameters so that the amount of fuel injected varies according to the fuel pressure and flow rate, which contributes to improve combustion by reducing pollutant emissions and consumption, as well as increasing power and reducing noise and vibrations, compared to conventional diesel engines [ 12 , 13 ].…”

Section: Introductionmentioning

confidence: 99%

A Vibration Analysis for the Evaluation of Fuel Rail Pressure and Mass Air Flow Sensors on a Diesel Engine: Strategies for Predictive Maintenance

Mafla-Yépez,

Castejon,

Rubio

et al. 2024

Sensors

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This research focuses on the analysis of vibration of a compression ignition engine (CIE), specifically examining potential failures in the Fuel Rail Pressure (FRP) and Mass Air Flow (MAF) sensors, which are critical to combustion control. In line with current trends in mechanical system condition monitoring, we are incorporating information from these sensors to monitor engine health. This research proposes a method to validate the correct functioning of these sensors by analysing vibration signals from the engine. The effectiveness of the proposal is confirmed using real data from a Common Rail Direct Injection (CRDi) engine. Simulations using a GT 508 pressure simulator mimic FRP sensor failures and an adjustable potentiometer manipulates the MAF sensor signal. Vibration data from the engine are processed in MATLAB using frequency domain techniques to investigate the vibration response. The results show that the proposal provides a basis for an efficient predictive maintenance strategy for the MEC engine. The early detection of FRP and MAF sensor problems through a vibration analysis improves engine performance and reliability, minimizing downtime and repair costs. This research contributes to the advancement of monitoring and diagnostic techniques in mechanical engines, thereby improving their efficiency and durability.

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Section: Introductionmentioning

confidence: 99%