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| Content Provider | Springer Nature Link |
|---|---|
| Author | Karnwal, A. Hasan, M. M. Kumar, N. Siddiquee, A. N. Khan, Z. A. |
| Copyright Year | 2011 |
| Abstract | This paper presents an experimental study that involves an application of the Taguchi method and grey relational analysis to determine the optimum factor level to obtain optimum multiple-performance characteristics of a diesel engine run with different low-percentage thumba biodiesel-diesel blends. Four factors, namely, low-percentage thumba biodiesel-diesel blend, compression ratio, nozzle opening pressure and injection timing were each considered at three levels. An L$_{9}$ orthogonal array was used to collect data for various engine performance- and emission-related responses under different engine loads. The signal-to-noise (S/N) ratio and grey relational analysis were used for data analysis. The results of the study revealed that the combination of a blend consisting of 30% thumba biodiesel (B30), a compression ratio of 14, a nozzle opening pressure of 250 bar and an injection timing of 20° produces maximum multiple performance of a diesel engine with minimum multiple emissions from the engine. |
| Starting Page | 599 |
| Ending Page | 610 |
| Page Count | 12 |
| File Format | |
| ISSN | 12299138 |
| Journal | International Journal of Automotive Technology |
| Volume Number | 12 |
| Issue Number | 4 |
| e-ISSN | 19763832 |
| Language | English |
| Publisher | The Korean Society of Automotive Engineers |
| Publisher Date | 2011-07-07 |
| Publisher Place | Heidelberg |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Taguchi method Grey relational analysis Compression ratio Nozzle opening pressure Injection timing Optimization Automotive Engineering |
| Content Type | Text |
| Resource Type | Article |
| Subject | Automotive Engineering |
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