Application of multi-objective optimization to axial compressor preliminary design
Application of multi-objective optimization to axial compressor preliminary design
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DOI：
10.1016/j.ast.2006.03.007
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发表时间：
2006-10
影响因子：
5.6
通讯作者：
A. Keskin;D. Bestle
中科院分区：
文献类型：
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作者：
A. Keskin;D. Bestle
轴流压气机是航空发动机设计中最具挑战性的部件之一。高度复杂和多学科的设计过程是由几个细节数量不同的独立设计阶段组成的。通常，中线预测是空气动力学设计过程的第一步，其目标是提供基本设计参数的初步猜测和正确选择。作为初步设计程序，它是压缩机设计过程中最重要的部分之一，因为对这些参数的错误设计决策无法通过后续开发工作来纠正。压缩机的设计始终是高效率、低级数和高喘振裕度等相互矛盾的要求之间的折衷。这对于需要大量设计分析和精心设计的程序来寻找权衡解决方案的多标准优化问题来说是典型的。本文将展示如何自动化给定的劳斯莱斯初步设计过程，以便找到设计条件的帕累托最优权衡解决方案。工艺加速也是将设计工程师从耗时的参数研究中解放出来的一个重要目标。加快设计过程的基本要素是使用现代过程集成工具、多标准决策概念和非线性编程算法。结果将基于给定的罗尔斯·罗伊斯压缩机设计进行显示，以实现最大效率、最大喘振裕度和最大总压比方面的多目标优化，其中使用不同的确定性和随机算法。
The axial compressor is one of the most challenging components for aero engine design. The highly complex and multi-disciplinary design process is built up from several separate design phases differing with respect to the number of details. Typically, meanline prediction is the first step of the aerodynamic design process where the goal is to provide a first guess and proper choice of basic design parameters. As a preliminary design procedure it is one of the most important parts of the compressor design process since a poor design decision on these parameters cannot be corrected by subsequent development efforts. The design of a compressor is always a compromise between contradicting requirements like high efficiency, low number of stages and high surge margin. This is typical for multi-criterion optimization problems requiring a high number of design analyses and a well-designed procedure for finding trade-off solutions. The paper will show how to automate a given Rolls-Royce preliminary design process in order to find Pareto-optimal trade-off solutions for design conditions. The aspect of process acceleration is also an important goal to release the design engineer from time-consuming parameter studies. Essential elements for speeding up the design process are the use of modern process integration tools, multi-criterion decision concepts, and nonlinear programming algorithms. Results will be shown based on a given Rolls-Royce compressor design for multi-objective optimization with respect to maximum efficiency, maximum surge margin, and maximum overall pressure ratio, where different deterministic and stochastic algorithms are used.