Study on the cleaning effect of atomized droplets on the aero-engine

2022 ◽  
pp. 095440622110653
Author(s):  
Xudong Shi ◽  
Jinjian Huo ◽  
Jianwei Hu ◽  
Xin Lu
Keyword(s):  
Particle Size ◽  
Mass Flow ◽  
Process Parameters ◽  
Engine Performance ◽  
Cleaning Process ◽  
Discrete Phase Model ◽  
Particle Size Range ◽  
Exhaust Temperature ◽  
Aero Engine ◽  
On Line

The aero-engine will produce fouling during operation, which will affect the engine performance. On-line cleaning can effectively remove fouling, in order to solve the problem of the poor cleaning effect for aero-engine on-wing cleaning and carry out numerical simulation of the on-line cleaning process. The discrete phase model is used to optimize the particle size and mass flow of the cleaning fluid. The erosion rate and vorticity of the droplets on the blade surface are used as the effect target to simulate and optimize the cleaning process parameters to obtain a better particle size range and the ratio of cleaning fluid to air mass flow. Through the evaluation of the cleaning process parameters of the aero-engine on-wing cleaning test and the analysis of the engine exhaust temperature margin (EGTM) data, it is concluded that the cleaning effect is improved by nearly 40%.

Analysis of vibration from low-rigidity contact in belt grinding of blisk blade

2019 ◽  
Vol 233 (12) ◽  
pp. 2345-2357 ◽  
Author(s):  
Guijian Xiao ◽  
Yun Huang ◽  
Ying Liu ◽  
Quan Li ◽  
Wentao Dai
Keyword(s):  
Process Parameters ◽  
Engine Performance ◽  
Grinding Process ◽  
Feed Speed ◽  
Technological Parameters ◽  
Belt Grinding ◽  
Cross Sectional ◽  
Aero Engine ◽  
The Stability ◽  
Grinding System

A blisk is one of the key parts of an aero-engine, whose surface processing quality directly affects aero-engine performance. Different degrees of vibration occur during the process of new open belt grinding which seriously affect the precision of the dimensions and the surface quality of the entire blade profile. With the aim of addressing this problem, this study constructed a physical model of blisk belt grinding, analysed the low-rigidity characteristics of the grinding system, and researched the vibratory mechanism of the blisk belt grinding system based on a dynamic analysis method. In addition, the factors affecting the stability of the grinding process and the stability conditions of the grinding were considered. Then, the belt grinding process of a blade surface was simulated through a numerical method. The technological parameters were quantified for different conditions of the blisk belt grinding vibration. The optimal combination of process parameters was obtained. Finally, the optimised process parameters were validated experimentally. The research demonstrates that vibration from blisk belt grinding is related to the process parameters as follows, in the order of the greatest influence: the grinding pressure, belt velocity, feed speed, and contact wheel hardness. After optimisation, the cross-sectional profile is 0.031–0.041 mm and the surface roughness is 0.1–0.2 μm; the surface is smoother and has better consistency.

scholarly journals The Chaotic Prediction for Aero-Engine Performance Parameters Based on Nonlinear PLS Regression

2012 ◽  
Vol 2012 ◽  
pp. 1-14
Author(s):  
Chunxiao Zhang ◽  
Junjie Yue
Keyword(s):  
Kernel Function ◽  
Forecast Error ◽  
Engine Performance ◽  
Partial Least Square ◽  
Least Square ◽  
Prediction Algorithm ◽  
Performance Parameters ◽  
Exhaust Temperature ◽  
Function Transformation ◽  
Aero Engine

The prediction of the aero-engine performance parameters is very important for aero-engine condition monitoring and fault diagnosis. In this paper, the chaotic phase space of engine exhaust temperature (EGT) time series which come from actual air-borne ACARS data is reconstructed through selecting some suitable nearby points. The partial least square (PLS) based on the cubic spline function or the kernel function transformation is adopted to obtain chaotic predictive function of EGT series. The experiment results indicate that the proposed PLS chaotic prediction algorithm based on biweight kernel function transformation has significant advantage in overcoming multicollinearity of the independent variables and solve the stability of regression model. Our predictive NMSE is 16.5 percent less than that of the traditional linear least squares (OLS) method and 10.38 percent less than that of the linear PLS approach. At the same time, the forecast error is less than that of nonlinear PLS algorithm through bootstrap test screening.

scholarly journals Mass flow and particle size monitoring of pulverised fuel vertical spindle mills

2016 ◽  
Vol 37 (2) ◽  
pp. 175-197 ◽  
Author(s):  
Hamresin Archary ◽  
Walter Schmitz ◽  
Louis Jestin
Keyword(s):  
Particle Size ◽  
Mass Flow ◽  
Good Precision ◽  
Monitoring Tool ◽  
Performance Factors ◽  
Flow Monitoring ◽  
Power Stations ◽  
Plant Environment ◽  
On Line ◽  
Set Up

Abstract The first step towards condition based maintenance of the milling plant is the implementation of online condition monitoring of the mill. The following paper presents and analyses methods of monitoring the key performance factors of a vertical spindle mill that is suited for implementation on older power stations, i.e. the quantity (mass flow rate) and quality (particle fineness) of the pulverised fuel produced by the mill. It is shown herein that the mill throughput can be monitored on-line using a simple mill energy balance that successfully predicts the coal throughput within 2.33% as compared to a calibrated coal feeder. A sensitivity analysis reveals that the coal moisture is a critical measurement for this method to be adopted as an on-line mass flow monitoring tool. A laser based particle size analyser tool was tested for use in the power plant environment as an online monitoring solution to measure pulverised fuel fineness. It was revealed that several factors around the set-up and operation of the instrument have an influence on the perceived results. Although the instrument showed good precision and repeatability of results, these factors must be taken into account in order to improve the accuracy of the reported results before the instrument can be commissioned as an on-line monitoring solution.

scholarly journals An Experimental Study of the Addition of Air Mass Flow Rate Using a 30% Emulsion-Fueled Diesel Engine at High Load

2020 ◽  
Vol 3 (2) ◽  
Author(s):  
Rosid Rosid ◽  
Bambang Sudarmanta ◽  
Lukman Atmaja ◽  
Salih Özer
Keyword(s):  
Diesel Engine ◽  
Mass Flow Rate ◽  
Mass Flow ◽  
Flow Rate ◽  
Combustion Process ◽  
Engine Performance ◽  
Tween 80 ◽  
Air Mass ◽  
Exhaust Temperature ◽  
Performance And Emissions

The purpose of this study was to examine the addition of air mass flow rate into the combustion chamber using E30 emulsion fuel (Water 70% + Dex 30% + 2% surfactant tween 80 + span 80 ) on a Diamond DI 800 stationary diesel engine with an engine rotation of 1500 rpm. Characteristics evaluated using Combustion Analyze, and emissions measured with a Gas Analyzer. The results showed the addition of air mass flow rate affected engine performance and emissions with the engine power observed to have decreased by 0.016% while SFC and thermal efficiency increased by 2,077% and 33,053% respectively compared to diesel fuel. Moreover, the BMEP and exhaust temperature also decreased with the most optimum in BMEP found to be 0.02% and exhaust temperature at 285°C while diesel has 358°C. The analysis of the combustion process for E30 emulsion fuel with variations in the air mass flow rate added showed the peak cylinder pressure at high loads was at 0.018 kg/s at a pressure of 5.86 bar. Meanwhile, the optimum heat release rate at high loads was obtained at a variation of 0.013 kg/s. This, therefore, means adding air mass flow rate to the E30 emulsion fuel has the ability to improve performance and reduce engine emissions.

381. Sampling Efficiencies of Three Personal Aerosol Samplers within and Beyond the Inhalable Particle Size Range

2001 ◽  
Author(s):  
V. Aizenberg ◽  
P. Baron ◽  
K. Choe ◽  
S. Grinshpun ◽  
K. Willeke
Keyword(s):  
Particle Size ◽  
Size Range ◽  
Particle Size Range

scholarly journals Optimal Tuner Selection for Kalman Filter-Based Aircraft Engine Performance Estimation

2009 ◽  
Vol 132 (3) ◽  
Author(s):  
Donald L. Simon ◽  
Sanjay Garg
Keyword(s):  
Kalman Filter ◽  
Estimation Error ◽  
Engine Performance ◽  
Aircraft Engine ◽  
Operating Conditions ◽  
Performance Estimation ◽  
Experimental Simulation ◽  
Tuning Parameter ◽  
Estimation Accuracy ◽  
On Line

A linear point design methodology for minimizing the error in on-line Kalman filter-based aircraft engine performance estimation applications is presented. This technique specifically addresses the underdetermined estimation problem, where there are more unknown parameters than available sensor measurements. A systematic approach is applied to produce a model tuning parameter vector of appropriate dimension to enable estimation by a Kalman filter, while minimizing the estimation error in the parameters of interest. Tuning parameter selection is performed using a multivariable iterative search routine that seeks to minimize the theoretical mean-squared estimation error. This paper derives theoretical Kalman filter estimation error bias and variance values at steady-state operating conditions, and presents the tuner selection routine applied to minimize these values. Results from the application of the technique to an aircraft engine simulation are presented and compared with the conventional approach of tuner selection. Experimental simulation results are found to be in agreement with theoretical predictions. The new methodology is shown to yield a significant improvement in on-line engine performance estimation accuracy.

Sign in / Sign up

Export Citation Format

Share Document