支持立方体卫星概念设计的基于因果关系的并行工程工具

Stephen Peters, C. Fortin, G. McSorley
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引用次数: 0

摘要

现代航空航天概念设计过程通常涉及来自各种学科的大量人员在复杂的机电系统上工作。一个持续的挑战是将上述人员及其系统相关信息集成到严格的系统工程环境中,以开发技术复杂的产品。具体到概念设计,还有一个密集的迭代过程,并且相对缺乏产品定义。这导致在使用传统的产品生命周期管理工具时出现问题,这些工具严重依赖于以几何为中心的产品结构。本研究的目的是通过开发一个软件工具来解决这些问题,从而更好地支持立方体卫星的概念设计。我们的工作重点是生产一种新的并行工程工具,专门为立方体卫星的概念设计阶段量身定制。该工具基于SAPPhIRE (S状态变化、A作用、P艺术、Ph现象、I输入、R器官和物理效应)因果关系模型。它最初被开发为自然和人工实体的灵活表示,通过类比来刺激创新,从而在概念设计中开发新颖的想法。更具体地说,使用蓝宝石模型中发现的功能、行为和结构结构来说明因果关系,将依赖从产品结构转向更一致的系统状态和结果行为。尽管该模型具有灵活性,但它最初并不是作为系统开发的知识或信息管理工具而开发的,因此需要进行修改以适应概念设计中的典型分析和数据文件。为了评估其作为数据框架的可行性,初步工作涉及创建高级蓝宝石模型,该模型由包含与每个子系统相关的概念设计信息的预先存在的文件组成。这些表示被用作设计支持工具构建的蓝图,该工具已被用于进一步评估蓝宝石模型支持概念设计的能力。这个JavaFX软件包是基于初步模型的。主要特性包括所有工程信息的统一位置,动态图形用户界面,以及促进集成的一致的子系统间软件体系结构。在评估期间,参与者被要求在导航结构时执行几个实际任务,记录有关软件在设计领域之间传达因果关系的能力、逻辑组织分析数据的能力以及促进典型设计活动的潜力的性能和反馈。本报告将讨论蓝宝石模型作为支持立方体卫星概念设计的数据框架的结果和相关结论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Causality-based Concurrent Engineering Tool to Support CubeSat Conceptual Design
Modern aerospace conceptual design processes often involve large numbers of personnel from a wide variety of disciplines working on a complex electro-mechanical system. An ongoing challenge is integrating said personnel and their system-related information within a stringent systems engineering environment for the development of a technically complex product. Specific to conceptual design, there is also an intensive iteration process combined with a relative lack of product definition. This leads to problems when using traditional product lifecycle management tools, which rely heavily on the geometry-focused product structure. The objective of this research is to better support conceptual design of CubeSats by developing a software tool to address these issues. Our efforts have been focused on producing a new concurrent engineering tool specifically tailored for the conceptual design phase of CubeSats. This tool is based on the SAPPhIRE (change of S tate, A ction, P art, Ph enomenon, I nputs, o R gans and physical E ffects) model of causality. It was originally developed to be a flexible representation of both natural and artificial entities to stimulate innovation via analogy, enabling development of novel ideas during conceptual design. More specifically, the use of function, behaviour and structure constructs found in the SAPPhIRE model for illustrating causality shifts reliance from the product structure towards the more consistent system states and resultant behaviour. Despite its flexibility, the model was not originally developed as a knowledge or information management tool for systems development, and so modifications were required to accommodate typical analysis and data files found in conceptual design. To assess its feasibility as a data framework, preliminary work has involved creating high-level SAPPhIRE models consisting of pre-existing files containing conceptual design information related to each subsystem. These representations were used as blueprints for the construction of the design support tool which has been used to further evaluate the capability of the SAPPhIRE model to support conceptual design. This JavaFX software package is based on the preliminary models. Major features include a consolidated location for all engineering information, a dynamic graphical user interface, and a consistent inter-subsystem software architecture to promote integration. During the evaluation period, participants were asked to perform several practical tasks while navigating the structure, Performance and feedback were recorded regarding the software’s ability to convey causality among design domains, organize analytical data logically, and its potential to facilitate typical design activities. This presentation will discuss the results and relevant conclusions on the SAPPhIRE model as a data framework to support the conceptual design of CubeSats.
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