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FLOW-DRIVEN DESIGN OPTIMIZATION OF CENTRIFUGAL COMPRESSOR VOLUTES FOR TURBOCHARGERS

机译:涡轮增压器离心压缩机流量的流驱动设计优化

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The design of the volute (in terms of area distribution and shape of the cross section) has a relevant impact on the efficiency and the operating range of a centrifugal compressor. This latter aspect is even more relevant in turbochargers, where the compressor has to cover a functioning range much wider than that of industrial applications. In addition, beyond conventional aerodynamic requirements, the design of the cross section shape is driven often in these applications also by space constraints imposed by the vehicle layout, leading to a variety of volute layouts. In a previous study, some of the authors highlighted the prospects of using the entropy generation rate to evaluate the losses within a volute, since this parameter allows an exact localization of irreversibilities. Starting from these results, the present study shows the suitability of this parameter as an indicator for the fine design optimization of the volute shape. A methodology is presented, which, based on the CFD computed contours of both the entropy generation rate and the total pressure, is able to drive the fine optimization of the volute cross-section at different azimuthal positions in order to maximize its efficiency. Multiple volute shapes are analysed in the paper and the effect of the operating conditions is accounted for by investigating different mass flow rates. The proposed approach indeed lead to a maximization of the volute efficiency with only a few trials and it could indeed provide room for future automatized fine optimization strategies.
机译:蜗壳的设计(就面积分布和横截面形状而言)对离心压缩机的效率和工作范围具有重要影响。后一个方面在涡轮增压器中更为重要,在涡轮增压器中,压缩机必须覆盖的功能范围比工业应用要宽得多。另外,除了常规的空气动力学要求之外,在这些应用中,横截面形状的设计通常还由车辆布局所施加的空间限制来驱动,从而导致各种蜗壳布局。在先前的研究中,一些作者强调了使用熵产生率评估蜗壳内损失的前景,因为该参数允许不可逆性的精确定位。从这些结果出发,本研究表明该参数是否适合作为蜗壳形状的精细设计优化的指标。提出了一种方法,该方法基于CFD计算出的熵产生率和总压力的轮廓,能够驱动蜗壳横截面在不同方位角位置的精细优化,从而最大化其效率。本文分析了多种蜗壳形状,并通过研究不同的质量流率来考虑操作条件的影响。所提出的方法确实仅通过几次试验就可以使蜗壳效率最大化,并且确实可以为将来的自动化精细优化策略提供空间。

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