numerical study of the performance and emission of a diesel-syngas dual fuel engine
Clicks: 153
ID: 216578
2017
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Emerging Content
30.0
/100
153 views
56 readers
AI Quality Assessment
Not analyzed
Readership in this journal
EmergingRanked #355 of 1,093 articles by views in journal of power sources
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 1,093 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
Based on the theory of direct relation graph (DRG) and the sensitivity analysis, a reduced mechanism for the diesel-syngas dual fuel was constructed. Three small thresholds were applied in the process of the detailed mechanism simplification by DRG, and a skeletal mechanism with 185 elements and the 832 elementary reactions was obtained. According to the framework of the skeletal mechanism, the time-consuming approach of sensitivity analysis was employed for further simplification, and the skeletal mechanism was further reduced to the size of 158 elements and 705 reactions. The Chemkin software with the detailed mechanism was utilized to calculate the effect of syngas addition on the combustion characteristics of diesel combustion. The findings showed that the addition of syngas could reduce the ignition delay time and increase the laminar flame speed. Based on the reduced mechanism and engine parameters, a 3D model of the engine was constructed with the Forte code. The 3D model was adopted to study the effect of syngas addition on the performance and exhaust emissions of the engine and the relevant data of the experiment was used in the calibration of the 3D model.
| Reference Key |
feng2017mathematicalnumerical
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | ;Shiquan Feng |
| Journal | journal of power sources |
| Year | 2017 |
| DOI |
10.1155/2017/6825079
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.