基于图分割的机械系统概念模块划分
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国家部委基金资助项目(51318010407)


Conceptual Module Identifying for MechanismBased on Graph Partitioning
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    摘要:

    为更好地实现机械系统的模块化设计,在基于功能-行为-概念结构(function-behavior-conceptual structure,FBCS)的产品概念设计过程中引入面向产品概念要素的图分割聚类算法,建立了一种面向FBCS的产品概念模块划分方法。以堆垛机推拉机构为例,分析了根据产品的总体目标特征,进行产品功能、行为、概念结构求解与功能分解迭代的产品概念设计分解方法。为描述概念产品,提出黑箱法和IDEF0功能描述方法相结合的概念产品建模方法,以建立产品子功能-概念结构模型。在此基础上,建立了产品概念要素(功能、行为、概念结构、接口)的相关关系分析方法,并引入图分割聚类算法进行产品概念要素聚合,以实现产品概念模块的划分。推拉机构的概念模块划分证明该方法是可行和有效的。

    Abstract:

    To better actualize product's modular design, the clustering algorithm based on graph partitioning for product's conceptual elements was introduced into the process of product's conceptual design on basis of FBCS (function,behavior,conceptual structure), and a FBCS-based method for product's conceptual module identifying was presented. Stacker's push-puller is taken as a type example while the method of product's conceptual design was analyzed. The method achieved the iterative transforming form function to behavior,form behavior to conceptual structure,form conceptual structure to sub function according to the product's general technology characteristic. To describe the conceptual product,the conceptual product's modeling method which combined black box with function description of IDEF0 was presented to construct the product's function-conceptual structure model. Then,the correlation analysis approach of product's conceptual elements (function,behavior,conceptual structure,interface) was established. To realize the identifying of product's conceptual module,the clustering algorithm based on graph partitioning was adopted to converge product's conceptual elements. This method was proved to be feasible and effective by identifying of the push-puller's conceptual module.

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龚京忠,邱静,李国喜.基于图分割的机械系统概念模块划分[J].国防科技大学学报,2007,29(3):103-108.
GONG Jingzhong, QIU Jing, LI Guoxi. Conceptual Module Identifying for MechanismBased on Graph Partitioning[J]. Journal of National University of Defense Technology,2007,29(3):103-108.

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  • 收稿日期:2006-12-26
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  • 在线发布日期: 2013-02-28
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