scholarly journals Artificial Neural Networks for Internal Combustion Engine Performance and Emission Analysis

2014 ◽  
Vol 87 (6) ◽  
pp. 23-27 ◽  
Author(s):  
Anant BhaskarGarg ◽  
Parag Diwan ◽  
Mukesh Saxena
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Internal Combustion Engine ◽  
Combustion Engine ◽  
Engine Performance ◽  
Internal Combustion ◽  
Emission Analysis ◽  
Performance And Emission ◽  
Artificial Neural

Performance and emission analysis of an internal combustion engine with hydroxy gas assist

2021 ◽  
Author(s):  
Sreejith Mohan ◽  
Yedu Krishnan Madhusudhanan ◽  
Sabari Salim ◽  
R. Nikhil ◽  
P. Vishnu ◽  
...  
Keyword(s):  
Internal Combustion Engine ◽  
Combustion Engine ◽  
Internal Combustion ◽  
Emission Analysis ◽  
Performance And Emission

scholarly journals PREDICTION OF INTERNAL COMBUSTION ENGINE PERFORMANCE USING ARTIFICIAL INTELLIGENCE

2020 ◽  
Vol 14 (2) ◽  
pp. 153-162
Author(s):  
Lukman Shalahuddin ◽  
Adityo Suksmono ◽  
Yohanes P Sembiring
Keyword(s):  
Artificial Intelligence ◽  
Neural Networks ◽  
Internal Combustion Engine ◽  
Combustion Engine ◽  
Engine Performance ◽  
Internal Combustion ◽  
Simulation Software ◽  
Operating Conditions ◽  
Ann Model ◽  
Mean Square Errors

The potential of artificial intelligence (AI) application for prediction of internal combustion engine performance is assessed in this paper. A literature survey on this subject is first reviewed, in which previous researches utilized the advance of artificial neural networks (ANN) as one type of AI. Previous works commonly obtained the data from experimental engine tests. Under the same engines, they varied the fuel compositions or the engine operating conditions. Whereas in this study, an ANN model is developed to calculate the inputs from an engine simulation software package database and to predict the engine performance based on the simulation software outputs as the ANN target outputs. Results from the ANN model in the “learning” step indicates good agreement with the software simulation outputs. Improvement and development of the program are required, including optimation of the ANN model architecture, such as the choice of activation function, the number of neurons in the hidden layer, and the number of iterations, as well as the number and option of input engine parameters. The ANN model seems promising to predict engine performance, with root mean square errors in the range of 0.4-1.8%. Keywords: Artificial Intelligence; Neural Networks; Engine Performance.

scholarly journals An Overview of the Classification, Production and Utilization of Biofuels for Internal Combustion Engine Applications

Energies ◽  
2021 ◽  
Vol 14 (18) ◽  
pp. 5687
Author(s):  
Omojola Awogbemi ◽  
Daramy Vandi Von Kallon ◽  
Emmanuel Idoko Onuh ◽  
Victor Sunday Aigbodion
Keyword(s):  
Internal Combustion Engine ◽  
Combustion Engine ◽  
Engine Performance ◽  
Cost Effective ◽  
Internal Combustion ◽  
Environmentally Benign ◽  
Spark Ignition Engines ◽  
Performance And Emission ◽  
Compression Ignition Engines ◽  
Transportation Applications

Biofuel, a cost-effective, safe, and environmentally benign fuel produced from renewable sources, has been accepted as a sustainable replacement and a panacea for the damaging effects of the exploration for and consumption of fossil-based fuels. The current work examines the classification, generation, and utilization of biofuels, particularly in internal combustion engine (ICE) applications. Biofuels are classified according to their physical state, technology maturity, the generation of feedstock, and the generation of products. The methods of production and the advantages of the application of biogas, bioalcohol, and hydrogen in spark ignition engines, as well as biodiesel, Fischer–Tropsch fuel, and dimethyl ether in compression ignition engines, in terms of engine performance and emission are highlighted. The generation of biofuels from waste helps in waste minimization, proper waste disposal, and sanitation. The utilization of biofuels in ICEs improves engine performance and mitigates the emission of poisonous gases. There is a need for appropriate policy frameworks to promote commercial production and seamless deployment of these biofuels for transportation applications with a view to guaranteeing energy security.

Engine Enhancement Using Enriched Oxygen Inlet

2015 ◽  
Vol 48 ◽  
pp. 37-49 ◽  
Author(s):  
Singh P. Shivakumar
Keyword(s):  
Internal Combustion Engine ◽  
Combustion Engine ◽  
Engine Performance ◽  
Calorific Value ◽  
Internal Combustion ◽  
Fuel Tank ◽  
Atmospheric Air ◽  
Oxygen Percentage

An internal combustion engine essentially requires a fuel which must have sufficient calorific value to produce enough power, and oxygen for the combustion of fuel. In normal vehicles fuel will be supplied from a fuel tank equipped with it. And oxygen will be taken from the atmospheric itself. Under normal conditions the percentage of oxygen present in atmospheric air will be around 21% of the total volume. Studies shows that by increasing the oxygen percentage in the inlet air increases engine performance and reduces emission produced by the engine.

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