| contributor author | Wang, Linyan | |
| contributor author | Chen, Guangyun | |
| contributor author | Tjong, Jimi | |
| contributor author | Zheng, Ming | |
| date accessioned | 2022-05-08T09:40:46Z | |
| date available | 2022-05-08T09:40:46Z | |
| date copyright | 2/9/2022 12:00:00 AM | |
| date issued | 2022 | |
| identifier issn | 0195-0738 | |
| identifier other | jert_144_9_092104.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4285444 | |
| description abstract | Due to the high transiency and high voltage characteristics of spark ignition (SI), precise measurements are in demand for efficient ignition in future clean combustion engines. The practical challenges of SI systems arise as the gaseous substances vary extensively in density, flow, and temperature. In this paper, a typical transistor coil ignition system with a current management module maintains the transient discharge condition for more credible measurements. Suitable apparatus with field-programmable gate array (FPGA) multi-task control systems are established to effectively control and stabilize the discharge current level and duration. The electrical waveforms and spark plasma patterns are correlated, via concurrent electric probing and shadowgraph imaging, under quiescent and flow conditions. The multi-task FPGA provides synchronization of ignition control and data acquisition. The empirical setup and analyzing methods of this work provide essential guidance for facilitating broader innovations in spark ignition, and for advancing the clean and efficient combustion in automotive and aviation engines. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Electrical and Optical Characterization Methodologies for Advanced Spark Ignition | |
| type | Journal Paper | |
| journal volume | 144 | |
| journal issue | 9 | |
| journal title | Journal of Energy Resources Technology | |
| identifier doi | 10.1115/1.4053437 | |
| journal fristpage | 92104-1 | |
| journal lastpage | 92104-14 | |
| page | 14 | |
| tree | Journal of Energy Resources Technology:;2022:;volume( 144 ):;issue: 009 | |
| contenttype | Fulltext | |