Diesel-cng dual fuel combustion characterization using vibro-acoustic analysis and response surface methodology

Engine conversion process from any diesel vehicle to a diesel-CNG dual fuel system requires additional fuel management. The need for an engine monitoring is vital to ensure the dual fuel operation run smoothly without excessive knocking, which may shorten the life of the engine. Knock and air-fuel r...

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Main Author:	Zulkifli, Abd Fathul Hakim
Format:	Thesis
Language:	English English English
Published:	2019
Subjects:	TL Motor vehicles Aeronautics Astronautics TP315-360 Fuel
Online Access:	http://eprints.uthm.edu.my/10/1/24p%20ABD%20FATHUL%20HAKIM%20ZULKIFLI.pdf http://eprints.uthm.edu.my/10/2/ABD%20FATHUL%20HAKIM%20ZULKIFLI%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/10/3/ABD%20FATHUL%20HAKIM%20ZULKIFLI%20WATERMARK.pdf
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id	my-uthm-ep.10
record_format	uketd_dc
spelling	my-uthm-ep.102021-06-06T07:39:22Z Diesel-cng dual fuel combustion characterization using vibro-acoustic analysis and response surface methodology 2019-09 Zulkifli, Abd Fathul Hakim TL Motor vehicles. Aeronautics. Astronautics TP315-360 Fuel Engine conversion process from any diesel vehicle to a diesel-CNG dual fuel system requires additional fuel management. The need for an engine monitoring is vital to ensure the dual fuel operation run smoothly without excessive knocking, which may shorten the life of the engine. Knock and air-fuel ratio (AFR) sensors are commonly used for engine monitoring during fuel management setup. However, the engine output characteristics has been overlooked during the monitoring process. This study is aimed to explore a statistical approach by predicting the relationship between fuel management and engine output characteristics of diesel-CNG dual fuel engine using Response Surface Methodology (RSM). Two inputs which are CNG substitution rate and engine speed were used to predict the engine output characteristics in terms of engine performance, exhaust emissions, combustion pattern and combustion stability. Within the investigation, a statistical method was proposed to analyse the vibro-acoustic signal generated by a knock sensor installed at the outer cylinder wall of the engine. The frequency distribution analysis was applied to interpret the high variability of the vibro-acoustic signal. The results were used as the input for combustion stability in RSM analysis. It also provided useful information with regards to the engine stability. The response surface analysis showed that the CNG substitution rate and its properties significantly influenced the engine output characteristics. This study also describes the methodology to determine the accuracy and the significance of the developed prediction models. The prediction models were validated using confirmation test and showed good predictability within 95% confidence interval. Thus, it is concluded that RSM provide models that predict the engine characteristics with significant accuracy, which contributes to the effectiveness of diesel-CNG dual fuel engine conversion process. 2019-09 Thesis http://eprints.uthm.edu.my/10/ http://eprints.uthm.edu.my/10/1/24p%20ABD%20FATHUL%20HAKIM%20ZULKIFLI.pdf text en public http://eprints.uthm.edu.my/10/2/ABD%20FATHUL%20HAKIM%20ZULKIFLI%20COPYRIGHT%20DECLARATION.pdf text en staffonly http://eprints.uthm.edu.my/10/3/ABD%20FATHUL%20HAKIM%20ZULKIFLI%20WATERMARK.pdf text en validuser phd doctoral Universiti Tun Hussein Onn Malaysia Fakulti Kejuruteraan Mekanikal dan Pembuatan
institution	Universiti Tun Hussein Onn Malaysia
collection	UTHM Institutional Repository
language	English English English
topic	TL Motor vehicles Aeronautics Astronautics TP315-360 Fuel
spellingShingle	TL Motor vehicles Aeronautics Astronautics TP315-360 Fuel Zulkifli, Abd Fathul Hakim Diesel-cng dual fuel combustion characterization using vibro-acoustic analysis and response surface methodology
description	Engine conversion process from any diesel vehicle to a diesel-CNG dual fuel system requires additional fuel management. The need for an engine monitoring is vital to ensure the dual fuel operation run smoothly without excessive knocking, which may shorten the life of the engine. Knock and air-fuel ratio (AFR) sensors are commonly used for engine monitoring during fuel management setup. However, the engine output characteristics has been overlooked during the monitoring process. This study is aimed to explore a statistical approach by predicting the relationship between fuel management and engine output characteristics of diesel-CNG dual fuel engine using Response Surface Methodology (RSM). Two inputs which are CNG substitution rate and engine speed were used to predict the engine output characteristics in terms of engine performance, exhaust emissions, combustion pattern and combustion stability. Within the investigation, a statistical method was proposed to analyse the vibro-acoustic signal generated by a knock sensor installed at the outer cylinder wall of the engine. The frequency distribution analysis was applied to interpret the high variability of the vibro-acoustic signal. The results were used as the input for combustion stability in RSM analysis. It also provided useful information with regards to the engine stability. The response surface analysis showed that the CNG substitution rate and its properties significantly influenced the engine output characteristics. This study also describes the methodology to determine the accuracy and the significance of the developed prediction models. The prediction models were validated using confirmation test and showed good predictability within 95% confidence interval. Thus, it is concluded that RSM provide models that predict the engine characteristics with significant accuracy, which contributes to the effectiveness of diesel-CNG dual fuel engine conversion process.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Zulkifli, Abd Fathul Hakim
author_facet	Zulkifli, Abd Fathul Hakim
author_sort	Zulkifli, Abd Fathul Hakim
title	Diesel-cng dual fuel combustion characterization using vibro-acoustic analysis and response surface methodology
title_short	Diesel-cng dual fuel combustion characterization using vibro-acoustic analysis and response surface methodology
title_full	Diesel-cng dual fuel combustion characterization using vibro-acoustic analysis and response surface methodology
title_fullStr	Diesel-cng dual fuel combustion characterization using vibro-acoustic analysis and response surface methodology
title_full_unstemmed	Diesel-cng dual fuel combustion characterization using vibro-acoustic analysis and response surface methodology
title_sort	diesel-cng dual fuel combustion characterization using vibro-acoustic analysis and response surface methodology
granting_institution	Universiti Tun Hussein Onn Malaysia
granting_department	Fakulti Kejuruteraan Mekanikal dan Pembuatan
publishDate	2019
url	http://eprints.uthm.edu.my/10/1/24p%20ABD%20FATHUL%20HAKIM%20ZULKIFLI.pdf http://eprints.uthm.edu.my/10/2/ABD%20FATHUL%20HAKIM%20ZULKIFLI%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/10/3/ABD%20FATHUL%20HAKIM%20ZULKIFLI%20WATERMARK.pdf
_version_	1747830506934763520

Diesel-cng dual fuel combustion characterization using vibro-acoustic analysis and response surface methodology

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