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分析计算流体动力学的数据集来自工业离心扇的计算流体动力学结果
Matheus Costa Pereira1, Mirelli de Castro Cesário1, Anderson Paulo de Paiva1
1Federal University of Itajubá (UNIFEI). Avenida BPS, 1303, Pinheirinho, Itajubá/MG, 37500-903, Brazil.
Data in brief
|December 4, 2025
概括
本研究介绍了504个离心风扇的计算流体动力学模拟数据集,使用实验设计优化其设计. 这些发现使先进的数据科学和轮机设计优化成为可能.
科学领域:
- 工程 工程师 工程师 工程师
- 计算科学 计算科学
背景情况:
- 轮机设计需要大量的模拟数据.
- 为高温工业应用优化离心风扇是复杂的.
研究的目的:
- 为一个离心风扇生成504个计算流体动力学 (CFD) 模拟的综合数据集.
- 使用实验设计 (DOE) 方法来生成响应表面和设计优化.
主要方法:
- 采用中央复合设计 (CCD) 的四个几何变量 (叶片数量,入口角,开口角,长度).
- 在Ansys®中使用多面状网,k-ω剪切应力传输流模型和稳定状态条件进行模拟.
- 在SpaceClaim中进行了预处理,在Fluent Meshing中进行了网格化,在Fluent和CFD-Post.中进行了后处理.
主要成果:
- 产生了504个CFD观测结果,其中包括压力,速度,流量和性能指标等35个输出变量.
- 保持了详细的网格质量控制和模拟参数 (5600 RPM,MRF).
- 数据集包括关键变量的统计指标 (最小,平均,最大).
结论:
- 结构化数据集支持统计分析,响应表面建模和灵敏度研究.
- 方便轮机设计优化和复制在CFD中的DOE方法.
- 在工程模拟中促进数据的重复使用和可重复性.
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