Purpose

The purpose of this paper is the development of a new turbocharger compressor is a challenging task particularly when both wider operating range and higher efficiency are required. However, the cumbersome design effort and the inherent calculus burden can be significantly reduced by using appropriate design optimization approaches as an alternative to conventional design techniques.

Design/methodology/approach

This paper presents an optimization-based preliminary-design (OPD) approach based on a judicious coupling between evolutionary optimization techniques and a modified one-dimensional mean-line model. Two optimization strategies are considered. The first one is mono-objective and is solved using genetic algorithms. The second one is multi-objective and it is handled using the non-dominated sorting genetic algorithm-II. The proposed approach constitutes an automatic search process to select the geometrical parameters of the compressor, ensuring the most common requirements of the preliminary-design phase, with a minimum involvement of the designer.

Findings

The obtained numerical results demonstrate that the proposed tool can rapidly produce nearly optimal designs as an excellent basis for further refinement in the phase by using more complex analysis methods such as computational fluid dynamics and meta-modeling.

Originality/value

This paper outlines a new fast OBPD approach for centrifugal compressor turbochargers. The proposal adopts an inverse design method and consists of two main phases: a formulation phase and a solution phase. The complexity of the formulated problem is reduced by using a sensitivity analysis. The solution phase requires to link, in an automatic way, three processes, namely, optimization, design and analysis.

中文翻译：

---

基于一维平均线模型的离心式压气机涡轮增压器气动初步设计优化

目的

本文的目的是开发新的涡轮增压器压缩机是一项具有挑战性的任务，尤其是在需要更宽的工作范围和更高的效率时。然而，通过使用适当的设计优化方法作为传统设计技术的替代方法，可以显着减少繁琐的设计工作和固有的微积分负担。

设计/方法/方法

本文提出了一种基于优化的初步设计 (OPD) 方法，该方法基于进化优化技术和修改后的一维平均线模型之间的明智耦合。考虑了两种优化策略。第一个是单一目标，使用遗传算法解决。第二个是多目标的，它使用非支配排序遗传算法-II来处理。所提出的方法构成了一个自动搜索过程，以选择压缩机的几何参数，确保初步设计阶段最常见的要求，而设计者的参与最少。

发现

获得的数值结果表明，所提出的工具可以通过使用更复杂的分析方法（如计算流体动力学和元建模）快速生成近乎最优的设计，作为在阶段中进一步细化的良好基础。

原创性/价值

本文概述了离心式压缩机涡轮增压器的一种新的快速 OBPD 方法。该提案采用逆向设计方法，包括两个主要阶段：制定阶段和解决阶段。通过使用敏感性分析降低了公式化问题的复杂性。求解阶段需要以自动方式将优化、设计和分析三个过程联系起来。