基于B-spline曲线的通风机多维度协同优化
Multi-dimensional collaborative optimization of ventilatorsbased on B-spline curves
摘要：
通风机在暖通空调系统中发挥着关键作用,主要用于送风、补风和通风。目前对建筑用通风机的研究仍存在模型复杂、计算困难的问题。本文提出利用多维度协同优化设计方法来优化通风机的气动性能。在优化设计过程中,采用B-spline曲线参数化叶片表面形状,通过流场降维处理,在搭建的自动化平台上进行多目标优化进而筛选高效细化区间,继而在该区间内实施最优拉丁超立方抽样。基于样本的计算流体力学模拟结果表明,最优解的通风机压力和叶轮力矩分别为742.44 Pa和174.12 N,与原始方案相比,在保持通风机压力变化不大的同时叶轮力矩降低了16.33%,通风机效率提升了19.60%。该方法显著降低了方案寻优的成本,为通风机的性能评估提供了便利。
Abstract：
Ventilators play a critical role in HVAC systems, primarily used for air supply, make-up, and ventilation. The current research on ventilators for buildings still faces complex models and difficult calculations. In this paper, a multi-dimensional collaborative optimization design method is proposed to optimize the aerodynamic performance of ventilators. In the process of optimization design, the B-spline curve is used to parameterize the blade surface shape, and the multi-objective optimization is carried out on the built automated platform through the flow field dimensionality reduction treatment to screen the efficient refinement interval, and then the optimal Latin hypercube sampling (OLHS) is implemented in this interval. The sample-based computational fluid dynamics (CFD) simulation results show that the optimal solutions of ventilator pressure and impeller torque are 742.44 Pa and 174.12 N, respectively, which reduces the impeller torque by 16.33% and increases the ventilator efficiency by 19.60% while keeping the ventilator pressure unchanged compared with the original scheme. This method significantly reduces the cost of optimization and facilitates the performance evaluation of the ventilators.
Keywords:B-spline curve; centrifugal ventilator; multi-dimensional collaborative optimization; NSGA-Ⅱ; aerodynamic performance; impeller