Application of artificial neural network for internal combustion engines: a state of the art review
The automotive industry is facing a crucial time. The transformation from internal combustion
engines to new electrical technologies requires enormous investment, and hence the IC …
engines to new electrical technologies requires enormous investment, and hence the IC …
Diesel engine optimization with multi-objective performance characteristics by non-evolutionary Nelder-Mead algorithm: Sobol sequence and Latin hypercube …
This research deals with the diesel engine optimization by Nelder-Mead algorithm and initial
points distribution done by Sobol sequence and Latin hypercube sampling methods. Nelder …
points distribution done by Sobol sequence and Latin hypercube sampling methods. Nelder …
A new prediction model of CO2 diffusion coefficient in crude oil under reservoir conditions based on BP neural network
Diffusion is the key mechanism of enhanced oil recovery (EOR) by CO 2 injection in
unconventional oil reservoirs. The accurate measurement of the diffusion coefficient in …
unconventional oil reservoirs. The accurate measurement of the diffusion coefficient in …
Investigation of ANN and SVM based on limited samples for performance and emissions prediction of a CRDI-assisted marine diesel engine
X Niu, C Yang, H Wang, Y Wang - Applied Thermal Engineering, 2017 - Elsevier
Abstract Artificial Neural Network (ANN) and Support Vector Machine (SVM), due to their
accuracy and ability to analyze nonlinear problems, have been applied in many research …
accuracy and ability to analyze nonlinear problems, have been applied in many research …
Effects of swirl and boiling heat transfer on the performance enhancement and emission reduction for a medium diesel engine fueled with biodiesel
D Tan, Z Chen, J Li, J Luo, D Yang, S Cui, Z Zhang - Processes, 2021 - mdpi.com
In order to improve the accuracy of numerical simulation, a new heat transfer model is
developed by using a modular approach in the Anstalt für Verbrennungskraftmaschinen …
developed by using a modular approach in the Anstalt für Verbrennungskraftmaschinen …
Effects of boiling heat transfer on the performance enhancement of a medium speed diesel engine fueled with diesel and rapeseed methyl ester
Z Zhang, E Jiaqiang, J Chen, X Zhao, B Zhang… - Applied thermal …, 2020 - Elsevier
In order to better evaluate the nucleate boiling heat transfer, a new heat transfer model is
developed in the AVL-Boost environment. The improved heat transfer model considers the …
developed in the AVL-Boost environment. The improved heat transfer model considers the …
Exhaust-gas temperature model and prognostic feature for diesel engines
Prognostics is an enabler of predictive maintenance, which can improve reliability,
availability, and reduce the maintenance cost of high value assets. A novel prognostic …
availability, and reduce the maintenance cost of high value assets. A novel prognostic …
Multi-objective online optimization of a marine diesel engine using NSGA-II coupled with enhancing trained support vector machine
X Niu, H Wang, S Hu, C Yang, Y Wang - Applied Thermal Engineering, 2018 - Elsevier
The multi-objective optimization problems of diesel engines are always challenging for the
engineers, especially with the application of new technologies that aim at improving the …
engineers, especially with the application of new technologies that aim at improving the …
Appraisal of artificial neural networks to the emission analysis and prediction of CO2, soot, and NOx of n-heptane fueled engine
The present investigation was carried out to assess the potential of applying Artificial Neural
Network (ANN) technique to the prediction of n-heptane fueled Direct Injection (DI) Diesel …
Network (ANN) technique to the prediction of n-heptane fueled Direct Injection (DI) Diesel …
Prediction of exhaust emission in transient conditions of a diesel engine fueled with animal fat using Artificial Neural Network and Symbolic Regression
The objective of this study is the development and evaluation of two models to predict
instantaneous exhaust emissions of CO 2, NOx, particle number concentration and …
instantaneous exhaust emissions of CO 2, NOx, particle number concentration and …