An Integrated Model for Predicting Engine Friction Losses in Internal Combustion Engines

A comprehensive computer model (EFLP) has been developed for carrying out friction estimation and analysis of sparks ignited in reciprocating engines. EFLP considers five major loss components in an automotive engine: the crankshaft, piston, valvetrain, auxiliary components and pumping losses. Hydro...

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Main Authors: Kamil, Mohammed, M. M., Rahman, R. A., Bakar
Format: Article
Language:English
Published: Universiti Malaysia Pahang 2014
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/8170/
http://umpir.ump.edu.my/id/eprint/8170/1/19_Kamil_et_al.pdf
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author Kamil, Mohammed
M. M., Rahman
R. A., Bakar
author_facet Kamil, Mohammed
M. M., Rahman
R. A., Bakar
author_sort Kamil, Mohammed
building UMP Institutional Repository
collection Online Access
description A comprehensive computer model (EFLP) has been developed for carrying out friction estimation and analysis of sparks ignited in reciprocating engines. EFLP considers five major loss components in an automotive engine: the crankshaft, piston, valvetrain, auxiliary components and pumping losses. Hydrodynamic, mixed, and boundary layer regimes are used to model the friction phenomena. The main building blocks of EFLP are empirical engine friction models based on experimental data. EFLP is constructed using MATAB-based engine code for estimating engine performance. The friction in a 4-cylinder 4-stroke engine is inspected. The results predicted by EFLP were validated according to a case study available in the literature. The validation showed that EFLP predictions are realistic and accurate.
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spelling ump-81702018-01-25T03:10:57Z http://umpir.ump.edu.my/id/eprint/8170/ An Integrated Model for Predicting Engine Friction Losses in Internal Combustion Engines Kamil, Mohammed M. M., Rahman R. A., Bakar TJ Mechanical engineering and machinery A comprehensive computer model (EFLP) has been developed for carrying out friction estimation and analysis of sparks ignited in reciprocating engines. EFLP considers five major loss components in an automotive engine: the crankshaft, piston, valvetrain, auxiliary components and pumping losses. Hydrodynamic, mixed, and boundary layer regimes are used to model the friction phenomena. The main building blocks of EFLP are empirical engine friction models based on experimental data. EFLP is constructed using MATAB-based engine code for estimating engine performance. The friction in a 4-cylinder 4-stroke engine is inspected. The results predicted by EFLP were validated according to a case study available in the literature. The validation showed that EFLP predictions are realistic and accurate. Universiti Malaysia Pahang 2014-06-30 Article PeerReviewed application/pdf en cc_by http://umpir.ump.edu.my/id/eprint/8170/1/19_Kamil_et_al.pdf Kamil, Mohammed and M. M., Rahman and R. A., Bakar (2014) An Integrated Model for Predicting Engine Friction Losses in Internal Combustion Engines. International Journal of Automotive and Mechanical Engineering (IJAME), 9. pp. 1695-1708. ISSN 1985-9325(Print); 2180-1606 (Online). (Published) http://dx.doi.org/10.15282/ijame.9.2013.19.0141 DOI: 10.15282/ijame.9.2013.19.0141
spellingShingle TJ Mechanical engineering and machinery
Kamil, Mohammed
M. M., Rahman
R. A., Bakar
An Integrated Model for Predicting Engine Friction Losses in Internal Combustion Engines
title An Integrated Model for Predicting Engine Friction Losses in Internal Combustion Engines
title_full An Integrated Model for Predicting Engine Friction Losses in Internal Combustion Engines
title_fullStr An Integrated Model for Predicting Engine Friction Losses in Internal Combustion Engines
title_full_unstemmed An Integrated Model for Predicting Engine Friction Losses in Internal Combustion Engines
title_short An Integrated Model for Predicting Engine Friction Losses in Internal Combustion Engines
title_sort integrated model for predicting engine friction losses in internal combustion engines
topic TJ Mechanical engineering and machinery
url http://umpir.ump.edu.my/id/eprint/8170/
http://umpir.ump.edu.my/id/eprint/8170/
http://umpir.ump.edu.my/id/eprint/8170/
http://umpir.ump.edu.my/id/eprint/8170/1/19_Kamil_et_al.pdf