Robust design methodologies to the adaptive cycle engine system performance: preliminary analysis
Year: 2019
Type: conference-paper
Abstract: Uncertainty is a common and unavoidable problem for the design of a new energy system. As a potential power system for the next generation aircraft, the Adaptive Cycle Engine (ACE) has attracted attention in many aero-engine developed countries. However, the introduction of new technology and the requirement of wider adaptability bring more uncertainties to the ACE system performance design process. To better utilize the advantage of the ACE performance, a robust design methodology should be applied. This paper analyzes the source of uncertainties, studies the method of addressing these uncertainties, and presents a design architecture to direct the robust design. The results show that the increase of knowledge and application of other universal design theories are helpful to eliminate the epistemic uncertainties. The uncertainty quantification methods, such as probabilistic method and interval analysis method, can be applied to address the aleatory uncertainties. Under the direction of a wheel-shaped design architecture, the robust design of ACE system performance can be completed through the further study at different design levels and the iteration between them. This design methodology can be applied to the design process of other energy systems with many new technical characteristics.
Source: Energy Procedia
Authors: Jiyuan Zhang, Hailong Tang, Min Chen
Institution: Beihang University
Language: English
Subfield: Statistics, Probability and Uncertainty
Field: Decision Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W2922525979