Application of artificial neural network for internal combustion engines: a state of the art review
AN Bhatt, N Shrivastava - Archives of Computational Methods in …, 2022 - Springer
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 …
A Navid, S Khalilarya, M Abbasi - Fuel, 2018 - Elsevier
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
MG Thurston, MR Sullivan, SP McConky - Applied Thermal Engineering, 2023 - Elsevier
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
A Domínguez-Sáez, GA Rattá, CC Barrios - Energy, 2018 - Elsevier
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 …