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Numerical investigation for optimization of spark-ignition internal combustion engine knock by Taguchi-Grey method
This article carried out a numerical investigation of knock, using the Taguchi method and the grey relational analysis method to determine the importance and the contribution rate of multiple parameters on the peak pressure in the cylinder and the knock tendency under heavy load conditions. Four par...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10450490/ https://www.ncbi.nlm.nih.gov/pubmed/36184961 http://dx.doi.org/10.1177/00368504221129280 |
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author | Kou, Yalin Gao, Ying You, Yuelin Wang, Yurang |
author_facet | Kou, Yalin Gao, Ying You, Yuelin Wang, Yurang |
author_sort | Kou, Yalin |
collection | PubMed |
description | This article carried out a numerical investigation of knock, using the Taguchi method and the grey relational analysis method to determine the importance and the contribution rate of multiple parameters on the peak pressure in the cylinder and the knock tendency under heavy load conditions. Four parameters, namely, compression ratio, spark timing, EGR rate, and inlet temperature, were set at four levels. The simulation was designed using a design of experiment method based on Taguchi's L(16) orthogonal array. The simulation results of knock tendency and peak in-cylinder pressure were analyzed by the Taguchi-Grey method. According to the analysis results of the Taguchi-Grey method, the optimal level, the importance rank, and the contribution rate of factors on the knock tendency, peak in-cylinder pressure, and equivalent response were determined. The results demonstrate that the contribution rate of compression ratio, spark timing, EGR rate, and inlet temperature to the knock tendency is 45.9%, 22.98%, 19.46%, and 11.66%, respectively. The compression ratio, spark timing, EGR rate, and inlet temperature contribution to the peak in-cylinder pressure is 40.56%, 31.03%, 24.94 and 3.47%, respectively. The optimal conditions for the minimum knock tendency and the maximum peak in-cylinder pressure are obtained at CR(1)EGR(4)IT(1)ST(1) and CR(4)EGR(1)IT(1)ST(4), respectively. |
format | Online Article Text |
id | pubmed-10450490 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-104504902023-08-26 Numerical investigation for optimization of spark-ignition internal combustion engine knock by Taguchi-Grey method Kou, Yalin Gao, Ying You, Yuelin Wang, Yurang Sci Prog Original Manuscript This article carried out a numerical investigation of knock, using the Taguchi method and the grey relational analysis method to determine the importance and the contribution rate of multiple parameters on the peak pressure in the cylinder and the knock tendency under heavy load conditions. Four parameters, namely, compression ratio, spark timing, EGR rate, and inlet temperature, were set at four levels. The simulation was designed using a design of experiment method based on Taguchi's L(16) orthogonal array. The simulation results of knock tendency and peak in-cylinder pressure were analyzed by the Taguchi-Grey method. According to the analysis results of the Taguchi-Grey method, the optimal level, the importance rank, and the contribution rate of factors on the knock tendency, peak in-cylinder pressure, and equivalent response were determined. The results demonstrate that the contribution rate of compression ratio, spark timing, EGR rate, and inlet temperature to the knock tendency is 45.9%, 22.98%, 19.46%, and 11.66%, respectively. The compression ratio, spark timing, EGR rate, and inlet temperature contribution to the peak in-cylinder pressure is 40.56%, 31.03%, 24.94 and 3.47%, respectively. The optimal conditions for the minimum knock tendency and the maximum peak in-cylinder pressure are obtained at CR(1)EGR(4)IT(1)ST(1) and CR(4)EGR(1)IT(1)ST(4), respectively. SAGE Publications 2022-10-03 /pmc/articles/PMC10450490/ /pubmed/36184961 http://dx.doi.org/10.1177/00368504221129280 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Manuscript Kou, Yalin Gao, Ying You, Yuelin Wang, Yurang Numerical investigation for optimization of spark-ignition internal combustion engine knock by Taguchi-Grey method |
title | Numerical investigation for optimization of spark-ignition internal combustion engine knock by Taguchi-Grey method |
title_full | Numerical investigation for optimization of spark-ignition internal combustion engine knock by Taguchi-Grey method |
title_fullStr | Numerical investigation for optimization of spark-ignition internal combustion engine knock by Taguchi-Grey method |
title_full_unstemmed | Numerical investigation for optimization of spark-ignition internal combustion engine knock by Taguchi-Grey method |
title_short | Numerical investigation for optimization of spark-ignition internal combustion engine knock by Taguchi-Grey method |
title_sort | numerical investigation for optimization of spark-ignition internal combustion engine knock by taguchi-grey method |
topic | Original Manuscript |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10450490/ https://www.ncbi.nlm.nih.gov/pubmed/36184961 http://dx.doi.org/10.1177/00368504221129280 |
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