Data set of multi-objective optimization of diesel engine parameters

This data article presents the experimental data set on the optimization of four important parameters which are type of blending fuel, blending ratio, compression ratio and injection timing for four objective functions namely higher brake thermal efficiency, lower brake specific fuel consumption, lo...

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Main Authors: R. Sathish Kumar, K. Sureshkumar
Format: Article
Language:English
Published: Elsevier 2019-08-01
Series:Data in Brief
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340919305384
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author R. Sathish Kumar
K. Sureshkumar
author_facet R. Sathish Kumar
K. Sureshkumar
author_sort R. Sathish Kumar
collection DOAJ
description This data article presents the experimental data set on the optimization of four important parameters which are type of blending fuel, blending ratio, compression ratio and injection timing for four objective functions namely higher brake thermal efficiency, lower brake specific fuel consumption, lower oxides of nitrogen emission and lower unburnt hydrocarbon emission using grey relational analysis and orthogonal array based experimental design. Each parameter was fixed with three levels and L9 orthogonal array has been chosen for experimental analysis. The data obtained from the experimental work reported that butanol as blending fuel, 40% of maximum blending ratio, compression ratio of 16:1 and injection timing of 26 °CA before top dead centre were identified as optimized set of parameters. Keywords: Multi-objective optimization, Grey relational analysis, Orthogonal array, Design of experiments, Analysis of variance, Diesel engine
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spelling doaj.art-f553de5860344bf69d0037decf0717d02022-12-22T01:40:26ZengElsevierData in Brief2352-34092019-08-0125Data set of multi-objective optimization of diesel engine parametersR. Sathish Kumar0K. Sureshkumar1Department of Automobile Engineering, Hindustan Institute of Technology and Science, Chennai 603103, Tamil Nadu, India; Corresponding author.Department of Mechanical Engineering, SRM Institute of Science and Technology, Kattankulathur, 603203, Tamil Nadu, IndiaThis data article presents the experimental data set on the optimization of four important parameters which are type of blending fuel, blending ratio, compression ratio and injection timing for four objective functions namely higher brake thermal efficiency, lower brake specific fuel consumption, lower oxides of nitrogen emission and lower unburnt hydrocarbon emission using grey relational analysis and orthogonal array based experimental design. Each parameter was fixed with three levels and L9 orthogonal array has been chosen for experimental analysis. The data obtained from the experimental work reported that butanol as blending fuel, 40% of maximum blending ratio, compression ratio of 16:1 and injection timing of 26 °CA before top dead centre were identified as optimized set of parameters. Keywords: Multi-objective optimization, Grey relational analysis, Orthogonal array, Design of experiments, Analysis of variance, Diesel enginehttp://www.sciencedirect.com/science/article/pii/S2352340919305384
spellingShingle R. Sathish Kumar
K. Sureshkumar
Data set of multi-objective optimization of diesel engine parameters
Data in Brief
title Data set of multi-objective optimization of diesel engine parameters
title_full Data set of multi-objective optimization of diesel engine parameters
title_fullStr Data set of multi-objective optimization of diesel engine parameters
title_full_unstemmed Data set of multi-objective optimization of diesel engine parameters
title_short Data set of multi-objective optimization of diesel engine parameters
title_sort data set of multi objective optimization of diesel engine parameters
url http://www.sciencedirect.com/science/article/pii/S2352340919305384
work_keys_str_mv AT rsathishkumar datasetofmultiobjectiveoptimizationofdieselengineparameters
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