Modeling, diagnostics, optimization, and control of internal combustion engines via modern machine learning techniques: A review and future directions
A critical review of the existing Internal Combustion Engine (ICE) modeling, optimization,
diagnosis, and control challenges and the promising state-of-the-art Machine Learning (ML) …
diagnosis, and control challenges and the promising state-of-the-art Machine Learning (ML) …
Machine learning prediction and optimization of performance and emissions characteristics of IC engine
MB Sanjeevannavar, NR Banapurmath, VD Kumar… - Sustainability, 2023 - mdpi.com
In this work, a study was conducted to investigate the effects of different biodiesel blends
with hydrogen peroxide additive on the performance and emissions of an internal …
with hydrogen peroxide additive on the performance and emissions of an internal …
Effects of waste-based pyrolysis as heating source: meta-analyze of char yield and machine learning analysis
Among three energy products of oil, char, and gas from pyrolysis, char has the advantages
of easy operation and low cost. It is expected that pyrolysis of waste materials using a …
of easy operation and low cost. It is expected that pyrolysis of waste materials using a …
Spray collapse characteristics of practical GDI spray for lateral-mounted GDI engines
Spray collapsing and plume merging processes were investigated using a lateral-mounted
gasoline direct injection (GDI) injector with a practical'triangular'spray pattern. High-speed …
gasoline direct injection (GDI) injector with a practical'triangular'spray pattern. High-speed …
Machine-learning based prediction of injection rate and solenoid voltage characteristics in GDI injectors
Current state-of-the-art gasoline direct-injection (GDI) engines use multiple injections as one
of the key technologies to improve exhaust emissions and fuel efficiency. For this technology …
of the key technologies to improve exhaust emissions and fuel efficiency. For this technology …
Experimental and modeling analysis of the transient spray characteristics of cyclopentane at sub-and transcritical conditions using a machine learning approach
Although fuel spray parameters, such as spray cone angle and penetration length, are
crucial for developing high-efficiency and high-performance combustion engines, general …
crucial for developing high-efficiency and high-performance combustion engines, general …
Predictions and analysis of flash boiling spray characteristics of gasoline direct injection injectors based on optimized machine learning algorithm
M Chang, S Park - Energy, 2023 - Elsevier
The main purpose of this study is to make a machine model that can predict the
characteristics of flash boiling spray according to the injector design parameters and the …
characteristics of flash boiling spray according to the injector design parameters and the …
[HTML][HTML] Parameter sensitivity analysis for diesel spray penetration prediction based on GA-BP neural network
Abstract Machine learning has started to be used in engine research to optimize combustion
and predict fuel spray characteristics. This paper presents the development of a machine …
and predict fuel spray characteristics. This paper presents the development of a machine …
Prediction of combustion pressure with deep learning using flame images
Deep learning methods provide data-driven techniques for handling large amounts of
combustion data, thus finding the hidden patterns underlying these data. This study aims to …
combustion data, thus finding the hidden patterns underlying these data. This study aims to …
Development of a smart multiphase system for disperse flows using machine learning
M Broumand, S Yun, Z Hong - International Journal of Multiphase Flow, 2024 - Elsevier
The present study aims at developing a smart multiphase system for efficiency improvement,
loss prevention, and sustainability in industrial processes by leveraging the unprecedented …
loss prevention, and sustainability in industrial processes by leveraging the unprecedented …