Computational models to predict noise emissions of a diesel engine fueled with saturated and monounsaturated fatty acid methyl esters

Redel-Macías, María Dolores; Hervás-Martı́nez, César; Gutiérrez, Pedro Antonio; Pinzi, S.; Cubero-Atienza, A.J.; Dorado, M.P.

doi:10.1016/j.energy.2017.11.143

Cited by 9 publications

(3 citation statements)

References 26 publications

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“…Redel-Macías et al [ 116 ] used a 1/3 octave band analyzer to measure the combustion noise of the bio-fuelled engine. A predictive model was developed for the biodiesel combustion noise where power, speed, blend, diesel noise, and 1/3 octave frequency selected as inputs.…”

Section: Modeling Of Internal Combustion Enginesmentioning

confidence: 99%

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Application of Artificial Neural Network for Internal Combustion Engines: A State of the Art Review

Bhatt

Shrivastava

2021

Arch Computat Methods Eng

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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 are likely to serve as a means of transportation for the coming decades. The search for sustainable green alternative fuel and operating parameter optimization is a current feasible solution and is a critical issue among the scientific community. Engine experiments are complicated, costly, and time-consuming, especially when the global economy is drastically down due to the COVID-19 pandemic and putting the limitation of social distancing. Industries are looking for proven computational solutions to address these issues. Recently, artificial neural network has been proven beneficial in several areas of engineering to reduce the time and experimentation cost. The IC engine is one of them. ANN has been used to predict and analyze different characteristics such as performance, combustion, and emissions of the IC engine to save time and energy. The complex nature of ANN may lead to computation time, energy, and space. Recent studies are centered on changing the network topology, deep learning, and design of ANN to get the highest performance. The present study summarizes the application of ANN to predict and optimize the complicated characteristics of various types of engines with different fuels. The study aims to investigate the network topologies adopted to design the model and thereafter statistical evaluation of the developed ANN models. A comparison of the ANN model with other prediction models is also presented.

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Section: Modeling Of Internal Combustion Enginesmentioning

confidence: 99%

“…Redel-Macías et al [116] used a 1/3 octave band analyzer to measure the combustion noise of the bio-fuelled engine.…”

Section: Model Comparison and Optimization Studiesmentioning

confidence: 99%

Application of Artificial Neural Network for Internal Combustion Engines: A State of the Art Review

Bhatt

Shrivastava

2021

Arch Computat Methods Eng

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“…This engine is an internal combustion engine in which the fuel is ignited by the increased temperature of the air in the cylinder caused by the mechanical compression (adiabatic compression; Cao et al, 2020), making it a compression-ignition engine (CI engine) (Bari, 2013;Mollenhauer & Tschoke, 2010;Noor et al, 2018). One of the weaknesses of the diesel engine that most complained about is the vibration and the noise (Redel-Macías et al, 2018). Noise is the sound that ears do not want it to be.…”

Section: Introductionmentioning

confidence: 99%

Analysis of The Noise Level of The Diesel Engine with 1100 RPM in The Indoor Condition

Qosim¹

2022

JAETS

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One of the weaknesses of diesel engines that most users complain about is the vibration and the noise. Therefore, it is very important to know the noise level of an engine in a room to consider the allowed duration of the exposure time, which is the aim of this study. The instrument used in this study was the Sound Level Meter, by first determining the radius of the hemisphere used in determining the location for the data collection. The measurement was carried out four times, where the largest value was considered as the main data, at four points. The result in this study indicated that the noise level of the diesel engine with a speed of 1100 rpm was 92.805 dBA with the background noise in the diesel engine room of 51.6 dB. Based on government regulations, the maximum exposure time to the noise at this level is 2 hours.

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Experimental investigation of the effects of chicken and turkey biodiesel blends on diesel engine noise emissions

Dal

Emiroğlu

Bilge

et al. 2018

Int. J. Environ. Sci. Technol.

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Computational models to predict noise emissions of a diesel engine fueled with saturated and monounsaturated fatty acid methyl esters

Cited by 9 publications

References 26 publications

Application of Artificial Neural Network for Internal Combustion Engines: A State of the Art Review

Application of Artificial Neural Network for Internal Combustion Engines: A State of the Art Review

Analysis of The Noise Level of The Diesel Engine with 1100 RPM in The Indoor Condition

Experimental investigation of the effects of chicken and turkey biodiesel blends on diesel engine noise emissions

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