کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4764578 1423736 2018 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Performance of different optimization concepts for reactive flow systems based on combined CFD and response surface methods
ترجمه فارسی عنوان
اجرای مفاهیم بهینه سازی مختلف برای سیستم های جریان واکنشی بر اساس روش های ترکیبی CFD و سطح پاسخ
کلمات کلیدی
Metamodeling؛ روش سطح پاسخ؛ بهینه سازی چند هدفه؛ CFD؛ الگوریتم ژنتیک؛ اطفا راکتور تبدیل
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی مهندسی شیمی (عمومی)
چکیده انگلیسی


- Several CFD-based optimization strategies are evaluated for a reactive flow problem.
- The validity of different metamodels was analyzed.
- Radial basis functions provide the most reliable metamodels.
- Metamodels can accelerate optimization procedure up to 17 times for the present case.
- The use of metamodels with CFD increases the optimization reliability significantly.

CFD-based optimization provides an efficient tool to improve systems in which conversion processes depend on a strong interaction between flow field and chemical reactions. The present work develops an improved multi-parameter and multi-objective optimization concept for reactive flow systems and demonstrates this concept for a new quench reactor. Response surface methods (metamodels) are used within the metamodel-based optimization process to accelerate the optimization rapidly. Different metamodels such as polynomials, K-nearest, radial basis functions, anisotropic Kriging, smoothing spline analysis of variance, and artificial neural networks are applied and carefully analyzed. It can be shown that radial basis function metamodels in combination with a certain number of CFD calculations provide a robust and efficient optimization scheme. The computational effort can be reduced by a factor of 17, which provides a reliable basis to optimize more complex reactive flow systems, e.g. the high pressure partial oxidation of natural gas or crude oil.

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ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Chemical Engineering - Volume 108, 4 January 2018, Pages 232-239
نویسندگان
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