arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2009.09650math.OC
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通过AGILE学院挑战探索协作和多学科飞机Optimization--飞机辅助太阳能系统的案例研究

Exploring Collaborative and Multidisciplinary Aircraft Optimization through the AGILE Academy Challenge -- A case study for an aircraft auxiliary solar power system

Andrew Jeyaraj, Florian Sanchez, Paul Earnest, Ezhil Murugesan, Rémy Priem, Susan Liscouet-Hanke

摘要:

减少飞机排放是开发更高效飞机的主要驱动力,使能技术正在走向成熟。飞机制造商需要一个高效的产品开发流程来捕捉这些新兴技术,并开发新的飞机概念,以保持竞争力。目前,飞机开发过程是跨组织的,并利用分布式,异构的知识和专业知识。为了评估不同的飞机方案,需要进行大规模的多学科研究,包括学科专家和特定的工具。这些多学科飞机优化(MDAO)过程很难部署,因为它们涉及跨组织的协作和过程,工具甚至词汇的协调。此外,在协作决策、重新配置和整合新的要求和能力方面的困难往往妨碍在可用时间内制定最优解。为了应对这些挑战,AGILE项目是欧盟资助的Horizon 2020项目的一部分,旨在通过开发能够实现高效协同飞机设计的工具和流程来缩短飞机开发时间。本文介绍了作为AGILE学院挑战赛的一部分所做的工作,学生们的任务是使用AGILE工具链开发和解决飞机MDAO问题。每个团队都由来自世界各地不同大学的学生组成,他们拥有多个设计领域的专业知识。MDAO的研究,利用AGILE工具链,以调查在基线飞机上实施辅助太阳能发电系统的可行性。执行的步骤是:(1)多学科设计问题的定义,(2)协作工作流的开发和(3)使用代理模型的优化。通过案例研究,一个新的技术概念进行了调查和AGILE工具链在促进MDAO的功效进行了分析。

英文摘要:

Reduction in aircraft emission is a main driver for the development of more efficient aircraft and enabling technologies are reaching operational maturity. Aircraft manufacturers need an efficient product development process to capture these emergent technologies and develop new aircraft concepts in order to stay competitive. Presently, the aircraft development process is cross organizational, and harnesses distributed, heterogeneous knowledge and expertise. Large scale multidisciplinary studies, involving disciplinary experts and specific tools are required to evaluate different aircraft concepts. These MultiDisciplinary Aircraft Optimization (MDAO) processes are difficult to deploy as they involve cross-organizational collaboration and harmonization of processes, tools and even vocabulary. Moreover, difficulties in collaborative decision making, reconfiguration and integration of new requirements and competencies often precludes the development of an optimal solution within the available time. To address these challenges, the AGILE project is an effort within the European Union funded Horizon 2020 project to reduce aircraft development time by developing tools and processes that enable efficient, collaborative aircraft design. This paper presents the work performed as part of the AGILE academy challenge where students were tasked with developing and solving an aircraft MDAO problem using the AGILE toolchain. Each team consisted of students from various universities around the globe and had expertise in multiple design domains. An MDAO study is presented that utilizes the AGILE toolchain to investigate the feasibility of implementing an auxiliary solar power system on a baseline aircraft. The steps performed are: (1) definition of a multidisciplinary design problem, (2) development of collaborative workflow and (3) optimization using surrogate models. Through the case study, a novel technology concept is investigated and the efficacy of the AGILE toolchain in facilitating a MDAO is analyzed.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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