从抽象到设计：基于可解释树的机器学习，实现稳定的热声系统布局

IF 5.3 2区工程技术 Q2 ENERGY & FUELS Proceedings of the Combustion Institute Pub Date : 2024-07-06 DOI:10.1016/j.proci.2024.105349

Maria Kuznetsova, Abdulla Ghani

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引用次数: 0

摘要

热声不稳定性是一个长期存在的问题。学术界和工业界都对这一问题进行了深入研究，但时至今日，仍没有关于如何设计稳定燃烧器的指导原则（或设计规则）。人们往往不清楚系统参数的单独和组合是如何影响热声稳定性的。了解这些关系将有助于深入了解问题领域，加快设计进程。

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From abstraction to design: Interpretable tree-based machine learning for stable thermoacoustic system layout

Thermoacoustic instabilities are a long-standing problem. Both academia and industry researched intensively this problem, but even today, no guidelines (or design rules) exist to layout a stable combustor. It is often unclear how the system parameters, individually, and in combination, contribute to the thermoacoustic stability. Knowing these relationships would provide useful insight into the problem domain and accelerate the design process.

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来源期刊

Proceedings of the Combustion Institute 工程技术-工程：化工

CiteScore

7.00

自引率

0.00%

发文量

420

审稿时长

3.0 months

期刊介绍： The Proceedings of the Combustion Institute contains forefront contributions in fundamentals and applications of combustion science. For more than 50 years, the Combustion Institute has served as the peak international society for dissemination of scientific and technical research in the combustion field. In addition to author submissions, the Proceedings of the Combustion Institute includes the Institute''s prestigious invited strategic and topical reviews that represent indispensable resources for emergent research in the field. All papers are subjected to rigorous peer review. Research papers and invited topical reviews; Reaction Kinetics; Soot, PAH, and other large molecules; Diagnostics; Laminar Flames; Turbulent Flames; Heterogeneous Combustion; Spray and Droplet Combustion; Detonations, Explosions & Supersonic Combustion; Fire Research; Stationary Combustion Systems; IC Engine and Gas Turbine Combustion; New Technology Concepts The electronic version of Proceedings of the Combustion Institute contains supplemental material such as reaction mechanisms, illustrating movies, and other data.