Hyperspectral image reconstruction from colored natural flame luminosity imaging in a tri-fuel optical engine
Abstract The detection of chemiluminescence from various radicals and molecules in a hydrocarbon flame can provide valuable information on the rate of local heat release, combustion stability, and combustion completeness. In this study, chemiluminescence from the combustion process is detected using...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2023-02-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-023-29673-y |
| _version_ | 1811165963919294464 |
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| author | Qiang Cheng Shervin Karimkashi Zeeshan Ahmad Ossi Kaario Ville Vuorinen Martti Larmi |
| author_facet | Qiang Cheng Shervin Karimkashi Zeeshan Ahmad Ossi Kaario Ville Vuorinen Martti Larmi |
| author_sort | Qiang Cheng |
| collection | DOAJ |
| description | Abstract The detection of chemiluminescence from various radicals and molecules in a hydrocarbon flame can provide valuable information on the rate of local heat release, combustion stability, and combustion completeness. In this study, chemiluminescence from the combustion process is detected using a high-speed color camera within the broadband spectrum of visible light. Whereon, a novel hyperspectral reconstruction approach based on the physically plausible spectral reconstruction (PPSR) is employed to reconstruct the spectral chemiluminescence signals from 400 to 700 nm with a resolution of 10 nm to provide 31 different spectral channels. The reconstructed key chemiluminescence signals (e.g., CH*, CH2O*, C2*, and CO2*) from the color images are further analyzed to characterize the chemical kinetics and combustion processes under engine conditions. The spectral chemiluminescence evolution with engine crank angle is identified to comprehend the effect of H2 fraction on flame characteristics and combustion kinetics. Additionally, in this study, a detailed kinetic mechanism is adopted to deepen the theoretical understanding and describe the spectral chemiluminescence from H2/CH4 and H2/CH4/n-dodecane flames at relevant conditions for various species including OH*, CH*, C2*, and CO2*. The results indicate that the PPSR is an adequately reliable approach to reconstructing spectral wavelengths based on chemiluminescence signals from the color images, which can potentially provide qualitative information about the evolution of various species during combustion. Here, the reconstructed chemiluminescence images show less than 1% errors compared to the raw images in red, green, and blue channels. Furthermore, the reconstructed chemiluminescence trends of CH*, CH2O*, C2*, and CO2* show a good agreement with the detailed kinetics 0D simulation. |
| first_indexed | 2024-04-10T15:44:42Z |
| format | Article |
| id | doaj.art-dc4e9ecb05ad4624b0305bdc85e6050f |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-04-10T15:44:42Z |
| publishDate | 2023-02-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-dc4e9ecb05ad4624b0305bdc85e6050f2023-02-12T12:13:15ZengNature PortfolioScientific Reports2045-23222023-02-0113111810.1038/s41598-023-29673-yHyperspectral image reconstruction from colored natural flame luminosity imaging in a tri-fuel optical engineQiang Cheng0Shervin Karimkashi1Zeeshan Ahmad2Ossi Kaario3Ville Vuorinen4Martti Larmi5Department of Mechanical Engineering, Aalto UniversityDepartment of Mechanical Engineering, Aalto UniversityWärtsilä Finland OyDepartment of Mechanical Engineering, Aalto UniversityDepartment of Mechanical Engineering, Aalto UniversityDepartment of Mechanical Engineering, Aalto UniversityAbstract The detection of chemiluminescence from various radicals and molecules in a hydrocarbon flame can provide valuable information on the rate of local heat release, combustion stability, and combustion completeness. In this study, chemiluminescence from the combustion process is detected using a high-speed color camera within the broadband spectrum of visible light. Whereon, a novel hyperspectral reconstruction approach based on the physically plausible spectral reconstruction (PPSR) is employed to reconstruct the spectral chemiluminescence signals from 400 to 700 nm with a resolution of 10 nm to provide 31 different spectral channels. The reconstructed key chemiluminescence signals (e.g., CH*, CH2O*, C2*, and CO2*) from the color images are further analyzed to characterize the chemical kinetics and combustion processes under engine conditions. The spectral chemiluminescence evolution with engine crank angle is identified to comprehend the effect of H2 fraction on flame characteristics and combustion kinetics. Additionally, in this study, a detailed kinetic mechanism is adopted to deepen the theoretical understanding and describe the spectral chemiluminescence from H2/CH4 and H2/CH4/n-dodecane flames at relevant conditions for various species including OH*, CH*, C2*, and CO2*. The results indicate that the PPSR is an adequately reliable approach to reconstructing spectral wavelengths based on chemiluminescence signals from the color images, which can potentially provide qualitative information about the evolution of various species during combustion. Here, the reconstructed chemiluminescence images show less than 1% errors compared to the raw images in red, green, and blue channels. Furthermore, the reconstructed chemiluminescence trends of CH*, CH2O*, C2*, and CO2* show a good agreement with the detailed kinetics 0D simulation.https://doi.org/10.1038/s41598-023-29673-y |
| spellingShingle | Qiang Cheng Shervin Karimkashi Zeeshan Ahmad Ossi Kaario Ville Vuorinen Martti Larmi Hyperspectral image reconstruction from colored natural flame luminosity imaging in a tri-fuel optical engine Scientific Reports |
| title | Hyperspectral image reconstruction from colored natural flame luminosity imaging in a tri-fuel optical engine |
| title_full | Hyperspectral image reconstruction from colored natural flame luminosity imaging in a tri-fuel optical engine |
| title_fullStr | Hyperspectral image reconstruction from colored natural flame luminosity imaging in a tri-fuel optical engine |
| title_full_unstemmed | Hyperspectral image reconstruction from colored natural flame luminosity imaging in a tri-fuel optical engine |
| title_short | Hyperspectral image reconstruction from colored natural flame luminosity imaging in a tri-fuel optical engine |
| title_sort | hyperspectral image reconstruction from colored natural flame luminosity imaging in a tri fuel optical engine |
| url | https://doi.org/10.1038/s41598-023-29673-y |
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