Smoke point prediction of oxygenated fuels using neural networks
Smoke point (SP) is an important fuel property that characterizes the propensity of aviation
jet fuels and kerosene to form soot. In the present study, an artificial neural network (ANN) …
jet fuels and kerosene to form soot. In the present study, an artificial neural network (ANN) …
A machine learning model for predicting threshold sooting index (TSI) of fuels containing alcohols and ethers
In this work, a machine learning based model using artificial neural networks (ANN) was
developed for the prediction of threshold sooting index (TSI) of fuels containing oxygenated …
developed for the prediction of threshold sooting index (TSI) of fuels containing oxygenated …
Predicting sooting propensity of oxygenated fuels using artificial neural networks
AG Abdul Jameel - Processes, 2021 - mdpi.com
The self-learning capabilities of artificial neural networks (ANNs) from large datasets have
led to their deployment in the prediction of various physical and chemical phenomena. In the …
led to their deployment in the prediction of various physical and chemical phenomena. In the …
Manufacturing/in-service uncertainty and impact on life and performance of gas turbines/aircraft engines
M Massini, F Montomoli - … in Computational Fluid Dynamics and Aircraft …, 2019 - Springer
This chapter highlights the impact of manufacturing errors on performances of aircraft
engines and gas turbines in general. The reader should use this chapter to identify the …
engines and gas turbines in general. The reader should use this chapter to identify the …
Effects of fuel molecular structure on emissions in a jet flame and a model gas turbine combustor
A Makwana - 2018 - etda.libraries.psu.edu
Stricter environmental requirements, worldwide air traffic growth, and unsteady fuel prices all
has led to an increased interest in alternative jet fuels. Additionally, several nations are …
has led to an increased interest in alternative jet fuels. Additionally, several nations are …