Development of a prediction model of soot particles generated from high pressure combustors
Project/Area Number |
15K00584
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Research Category |
Grant-in-Aid for Scientific Research (C)
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Allocation Type | Multi-year Fund |
Section | 一般 |
Research Field |
Environmental engineering and reduction of environmental burden
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Research Institution | Oita University |
Principal Investigator |
Hashimoto Jun 大分大学, 理工学部, 准教授 (00342551)
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Co-Investigator(Renkei-kenkyūsha) |
TANOUE Kimitoshi 大分大学, 理工学部, 教授 (60284783)
MORIYOSHI Yasuo 千葉大学, 大学院工学研究科, 教授 (40230172)
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Project Period (FY) |
2015-04-01 – 2018-03-31
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Project Status |
Completed (Fiscal Year 2017)
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Budget Amount *help |
¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000)
Fiscal Year 2017: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2016: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2015: ¥3,380,000 (Direct Cost: ¥2,600,000、Indirect Cost: ¥780,000)
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Keywords | すす / 粒子状物質 / 多環芳香族炭化水素 / 拡散火炎 / 燃焼 |
Outline of Final Research Achievements |
Due to the harmful influence of fine particles on human heath, the particulate mass and number regulations are included in the European emission standards for passenger cars, indicating that further understanding of soot particle formation under high pressure conditions and construction of a prediction model are required. In this study, measurements of the particle volume fraction and soot pre-cursors were carried out for counter flow non-premixed propane flames at elevated pressure. Experimental results were compared with numerical results calculated by using existing soot particle prediction models. As a result, we have obtained development guidelines for a soot prediction model applicable to high pressure conditions.
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Report
(4 results)
Research Products
(29 results)
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[Journal Article] Particulate Matter Formation Dynamics as Investigated by Ultra-Accelerated Quantum Chemical Molecular Dynamics Coupled with Canonical Monte Carlo Method2016
Author(s)
Akira Miyamoto, Kenji Inaba, Yukiko Obara, Yukie Ishizawa, Emi Sato, Mai Sase, Patrick Bonnaud, Ryuji Miura, Ai Suzuki, Naoto Miyamoto, Nozomu Hatakeyama, Jun Hashimoto, and Kazuhiro Akihama
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Journal Title
SAE Technimcal Paper
Volume: 01
Pages: 0533-0533
DOI
Related Report
Peer Reviewed
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