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An Improved Axiomatic Design Approach in Distributed Resource Environment, Part 2: Algorithm for Functional Unit Chain Set Generation

机译:分布式资源环境中的一种改进的公理设计方法,第2部分:功能单元链集生成算法

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To technologically achieve the transformation from functional requirements (FRs) to design parameters (DPs) in the axiomatic design (AD) theory, this paper employed the basic hypothesis, definitions and model developed in PART 1 of our study to establish an algorithm for functional unit chain set (FUCS) generation. This algorithm is established on two mappings from the developed conceptual foundation to the graph theory, i.e. treating functional units (FUs) as nodes, and treating connections between FUs as edges. With this two mappings, a graph consisting of FUs can be created, which is called the functional unit graph (FUG). Based on the depth-first search (DFS) strategy in the graph theory, the algorithm generating FUCSs from the FUG was finally established. As an additional function, a preliminary evaluation for the generated FUCSs was also proposed. To prove the feasibility of this algorithm, a solar-powered wiper blades, and the load module of a friction-abrasion testing machine were designed as illustrations.
机译:为了在公理化设计(AD)理论上以技术方式实现从功能需求(FR)到设计参数(DPs)的转换,本文采用了研究第1部分中开发的基本假设,定义和模型来建立功能单元的算法链集(FUCS)生成。该算法建立在从已开发的概念基础到图论的两种映射上,即将功能单元(FU)视为节点,并将FU之间的连接视为边缘。通过这两个映射,可以创建由FU组成的图,称为功能单元图(FUG)。基于图论中的深度优先搜索(DFS)策略,最终建立了从FUG生成FUCS的算法。作为一项附加功能,还提出了对生成的FUCS的初步评估。为了证明该算法的可行性,设计了太阳能雨刮器和摩擦磨损试验机的负载模块作为示例。

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