40分求英译汉一段!Design optimization of a low-speedfan blade with s
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40分求英译汉一段!
Design optimization of a low-speed
fan blade with sweep and lean
Abstract:The present work performs numerical optimization for design of blade stacking line
for an axial flow fan with response surface method using three-dimensional Navier–Stokes
analysis,and evaluates the effects of sweep and lean on the performance of the fan blade.Reynolds-
averaged Navier–Stokes equations are discretized with finite-volume approximations
using unstructured grids.Four geometric variables concerning spanwise distributions of
sweep and lean of blade stacking line are chosen as design variables to find maximum efficiency.
The computational results show good agreements with experimental data.The total efficiency
is successfully increased in comparison with the reference fan by optimizing threedimensional
stacking line with sweep and lean.Coupling of sweep and lean also improves
Design optimization of a low-speed
fan blade with sweep and lean
Abstract:The present work performs numerical optimization for design of blade stacking line
for an axial flow fan with response surface method using three-dimensional Navier–Stokes
analysis,and evaluates the effects of sweep and lean on the performance of the fan blade.Reynolds-
averaged Navier–Stokes equations are discretized with finite-volume approximations
using unstructured grids.Four geometric variables concerning spanwise distributions of
sweep and lean of blade stacking line are chosen as design variables to find maximum efficiency.
The computational results show good agreements with experimental data.The total efficiency
is successfully increased in comparison with the reference fan by optimizing threedimensional
stacking line with sweep and lean.Coupling of sweep and lean also improves
Abstract:The present work performs numerical optimization for design of blade stacking line
for an axial flow fan with response surface method using three-dimensional Navier–Stokes
analysis,and evaluates the effects of sweep and lean on the performance of the fan blade.
摘要:当前工作完成了轴流式风扇响应面的叶片堆叠设计线路的数字优化,该优化使用三维Navier–Stokes方程的分析,并评估了风机叶片性能的摆动和倾斜效果.
Reynolds-averaged Navier–Stokes equations are discretized with finite-volume approximations
using unstructured grids.
平均雷诺Navier–Stokes方程 使用非结构性网格法与有限体积近似离散.
Four geometric variables concerning spanwise distributions of sweep and lean of blade stacking line are chosen as design variables to find maximum efficiency.
关于叶片堆叠线路摆动和倾斜顺翼展方向散布四个几何变量作为设计变数,用来找到最大效率
The computational results show good agreements with experimental data.
计算结果表明与实验数据相吻合
The total efficiency is successfully increased in comparison with the reference fan by optimizing three dimensional stacking line with sweep and lean.
与参考风扇比较起来,优化三维摆动和倾斜线路,成功地使总体效率增长起来.
Coupling of sweep and lean also improves off-design performance of the blade remarkably.
摆动和倾斜的连接器显著提高了叶片非设计性能
Keywords:design optimization,fan,blade,sweep,lean
关键词:设计最优化 风扇 叶片 摆动 倾斜
这个问题你发重复了
for an axial flow fan with response surface method using three-dimensional Navier–Stokes
analysis,and evaluates the effects of sweep and lean on the performance of the fan blade.
摘要:当前工作完成了轴流式风扇响应面的叶片堆叠设计线路的数字优化,该优化使用三维Navier–Stokes方程的分析,并评估了风机叶片性能的摆动和倾斜效果.
Reynolds-averaged Navier–Stokes equations are discretized with finite-volume approximations
using unstructured grids.
平均雷诺Navier–Stokes方程 使用非结构性网格法与有限体积近似离散.
Four geometric variables concerning spanwise distributions of sweep and lean of blade stacking line are chosen as design variables to find maximum efficiency.
关于叶片堆叠线路摆动和倾斜顺翼展方向散布四个几何变量作为设计变数,用来找到最大效率
The computational results show good agreements with experimental data.
计算结果表明与实验数据相吻合
The total efficiency is successfully increased in comparison with the reference fan by optimizing three dimensional stacking line with sweep and lean.
与参考风扇比较起来,优化三维摆动和倾斜线路,成功地使总体效率增长起来.
Coupling of sweep and lean also improves off-design performance of the blade remarkably.
摆动和倾斜的连接器显著提高了叶片非设计性能
Keywords:design optimization,fan,blade,sweep,lean
关键词:设计最优化 风扇 叶片 摆动 倾斜
这个问题你发重复了
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