Development of an infrared laser absorption sensor for non-intrusive gas temperature measurements Article Swipe
Kun Duan
,
Daxin Wen
,
Yu Wang
,
Liuhao Ma
,
Kin-Pang Cheong
,
Chaokai Yuan
,
Wei Ren
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1016/j.enmf.2021.10.003
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1016/j.enmf.2021.10.003
Energetic materials have extremely high volumetric and specific energy densities, making them attractive and important in combustion systems. To improve their combustion performance, reliable temperature acquirement method is highly demanded. A laser sensor was developed for in situ and quantitative measurements of gas temperature. Scanned-wavelength direct absorption spectroscopy was used for line-of-sight temperature measurements. Multiple H2O absorption features in the near-infrared combination band (v1+v3) and mid-infrared fundamental band (v3) were selected to establish four absorption line pairs with good temperature sensitivity. Three infrared distributed feedback lasers (DFB) were used to cover the selected absorption lines. The accuracy and uncertainty of the sensor were first numerically evaluated in a wide temperature range of 1000–3000 K under different Gaussian white noise levels (5–20%). A free-space optical setup was established to experimentally evaluate the sensor performance by measuring benchmark laminar premixed flames, which were compared with additional thermocouple measurements, chemical kinetic modeling and computational fluid dynamics simulations. The good performance of the current sensor indicates the potential of being used in non-intrusive, in-situ and quantitative diagnostics of the energetic materials combustion.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.enmf.2021.10.003
- OA Status
- diamond
- Cited By
- 3
- References
- 41
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3215057349
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3215057349Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.enmf.2021.10.003Digital Object Identifier
- Title
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Development of an infrared laser absorption sensor for non-intrusive gas temperature measurementsWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2021Year of publication
- Publication date
-
2021-11-19Full publication date if available
- Authors
-
Kun Duan, Daxin Wen, Yu Wang, Liuhao Ma, Kin-Pang Cheong, Chaokai Yuan, Wei RenList of authors in order
- Landing page
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https://doi.org/10.1016/j.enmf.2021.10.003Publisher landing page
- Open access
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YesWhether a free full text is available
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diamondOpen access status per OpenAlex
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https://doi.org/10.1016/j.enmf.2021.10.003Direct OA link when available
- Concepts
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Infrared, Materials science, Absorption (acoustics), Laser, Far-infrared laser, Optics, Optoelectronics, Analytical Chemistry (journal), Chemistry, Physics, Environmental chemistry, Composite materialTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
3Total citation count in OpenAlex
- Citations by year (recent)
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2024: 1, 2023: 1, 2021: 1Per-year citation counts (last 5 years)
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41Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.levels | 119 |
| abstract_inverted_index.lines. | 94 |
| abstract_inverted_index.making | 10 |
| abstract_inverted_index.method | 26 |
| abstract_inverted_index.sensor | 32, 101, 131, 160 |
| abstract_inverted_index.(v1+v3) | 63 |
| abstract_inverted_index.current | 159 |
| abstract_inverted_index.flames, | 138 |
| abstract_inverted_index.improve | 19 |
| abstract_inverted_index.in-situ | 169 |
| abstract_inverted_index.kinetic | 147 |
| abstract_inverted_index.laminar | 136 |
| abstract_inverted_index.optical | 123 |
| abstract_inverted_index.Gaussian | 116 |
| abstract_inverted_index.Multiple | 54 |
| abstract_inverted_index.accuracy | 96 |
| abstract_inverted_index.chemical | 146 |
| abstract_inverted_index.compared | 141 |
| abstract_inverted_index.dynamics | 152 |
| abstract_inverted_index.evaluate | 129 |
| abstract_inverted_index.features | 57 |
| abstract_inverted_index.feedback | 84 |
| abstract_inverted_index.infrared | 82 |
| abstract_inverted_index.modeling | 148 |
| abstract_inverted_index.premixed | 137 |
| abstract_inverted_index.reliable | 23 |
| abstract_inverted_index.selected | 70, 92 |
| abstract_inverted_index.specific | 7 |
| abstract_inverted_index.systems. | 17 |
| abstract_inverted_index.Energetic | 0 |
| abstract_inverted_index.benchmark | 135 |
| abstract_inverted_index.demanded. | 29 |
| abstract_inverted_index.developed | 34 |
| abstract_inverted_index.different | 115 |
| abstract_inverted_index.energetic | 175 |
| abstract_inverted_index.establish | 72 |
| abstract_inverted_index.evaluated | 105 |
| abstract_inverted_index.extremely | 3 |
| abstract_inverted_index.important | 14 |
| abstract_inverted_index.indicates | 161 |
| abstract_inverted_index.materials | 1, 176 |
| abstract_inverted_index.measuring | 134 |
| abstract_inverted_index.potential | 163 |
| abstract_inverted_index.(5–20%). | 120 |
| abstract_inverted_index.absorption | 46, 56, 74, 93 |
| abstract_inverted_index.additional | 143 |
| abstract_inverted_index.attractive | 12 |
| abstract_inverted_index.combustion | 16, 21 |
| abstract_inverted_index.densities, | 9 |
| abstract_inverted_index.free-space | 122 |
| abstract_inverted_index.volumetric | 5 |
| abstract_inverted_index.1000–3000 | 112 |
| abstract_inverted_index.acquirement | 25 |
| abstract_inverted_index.combination | 61 |
| abstract_inverted_index.combustion. | 177 |
| abstract_inverted_index.diagnostics | 172 |
| abstract_inverted_index.distributed | 83 |
| abstract_inverted_index.established | 126 |
| abstract_inverted_index.fundamental | 66 |
| abstract_inverted_index.numerically | 104 |
| abstract_inverted_index.performance | 132, 156 |
| abstract_inverted_index.temperature | 24, 52, 79, 109 |
| abstract_inverted_index.uncertainty | 98 |
| abstract_inverted_index.measurements | 40 |
| abstract_inverted_index.mid-infrared | 65 |
| abstract_inverted_index.performance, | 22 |
| abstract_inverted_index.quantitative | 39, 171 |
| abstract_inverted_index.sensitivity. | 80 |
| abstract_inverted_index.simulations. | 153 |
| abstract_inverted_index.spectroscopy | 47 |
| abstract_inverted_index.temperature. | 43 |
| abstract_inverted_index.thermocouple | 144 |
| abstract_inverted_index.computational | 150 |
| abstract_inverted_index.line-of-sight | 51 |
| abstract_inverted_index.measurements, | 145 |
| abstract_inverted_index.measurements. | 53 |
| abstract_inverted_index.near-infrared | 60 |
| abstract_inverted_index.experimentally | 128 |
| abstract_inverted_index.non-intrusive, | 168 |
| abstract_inverted_index.Scanned-wavelength | 44 |
| cited_by_percentile_year.max | 94 |
| cited_by_percentile_year.min | 89 |
| countries_distinct_count | 0 |
| institutions_distinct_count | 7 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/7 |
| sustainable_development_goals[0].score | 0.8799999952316284 |
| sustainable_development_goals[0].display_name | Affordable and clean energy |
| citation_normalized_percentile.value | 0.56650736 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |