Data-driven multifidelity surrogate models for rocket engines injector design

Surrogate models of turbulent diffusive flames could play a strategic role in the design of liquid rocket engine combustion chambers. The present article introduces a method to obtain data-driven surrogate models for coaxial injectors, by leveraging an inductive transfer learning strategy over a U-N...

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التفاصيل البيبلوغرافية

الحاوية / القاعدة:	Data-Centric Engineering
المؤلفون الرئيسيون:	Jose Felix Zapata Usandivaras, Michael Bauerheim, Bénédicte Cuenot, Annafederica Urbano
التنسيق:	مقال
اللغة:	الإنجليزية
منشور في:	Cambridge University Press 2025-01-01
الموضوعات:	Rocket engine shear-coaxial injector surrogate modeling transfer learning
الوصول للمادة أونلاين:	https://www.cambridge.org/core/product/identifier/S263267362400056X/type/journal_article