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Effect of fuel injection characteristics on the performance of a free-piston diesel engine linear generator: CFD simulation and experimental results

Lookup NU author(s): Dr Boru Jia, Ziwei Zhang, Professor Tony Roskilly



This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).


The free-piston diesel engine linear generator (FPDLG), as a novel energy conversion device, is investigated bymany researcher groups. The injection characteristics are important for the FPDLG operation performance.Therefore, the effects of fuel injection characteristics on the FPDLG are researched by CDF simulation andexperimental results in this paper. According to the results, it is found that the trends of the compression ratioand the peak in-cylinder pressure vs the injection timing are the identical with convex function curves. And theIMEP of the FPDLG also show the same trend. Although the heat-release rises in the rapid combustion period, theIMEP vs the injection timing various law present convex function curve on account of reduced heat-release in thenormal combustion period. Four injection rate-profiles, i.e. rectangle, wedge, trapezium and triangle are simulatedand compared. It is observed that the combustion process with the trapezium rate-profile curve issmoother. The peak in-cylinder pressure and the thermal efficiency can be kept high value while the center ofheat-release curve near the TDC. Therefore the trapezium rate-profile is suggested is appropriate and can keephigh efficiency of the FPDLG in order to get high engine efficiency.

Publication metadata

Author(s): Guo C, Song Y, Feng H, Zuo Z, Jia B, Zhang Z, Roskilly A

Publication type: Article

Publication status: Published

Journal: Energy Conversion and Management

Year: 2018

Volume: 160

Pages: 302-312

Print publication date: 15/03/2018

Online publication date: 02/02/2018

Acceptance date: 20/01/2018

Date deposited: 15/02/2018

ISSN (print): 0196-8904

ISSN (electronic): 1879-2227

Publisher: Elsevier Ltd


DOI: 10.1016/j.enconman.2018.01.052


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