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Automatic design system for generating routing layout of tubes, hoses, and cable harnesses in a commercial truck
Journal of Computational Design and Engineering ( IF 4.9 ) Pub Date : 2021-07-07 , DOI: 10.1093/jcde/qwab034
Saekyeol Kim 1 , Shinyu Kim 2 , Taeheok Choi 2 , Taejoon Kwon 2 , Tae Hee Lee 1, 2 , Kwangrae Lee 3
Affiliation  

Abstract
Although many routing algorithms have been developed, it is difficult for designers in the automotive industry to adopt them because of the complicated preliminary steps that are required. This study presents a systematic framework for generating the routing layout of the tubes, hoses, and cable harnesses in a commercial truck. The routing layout design problem in a commercial truck is analysed and defined. For routing operations, a sequential graph-based routing algorithm is employed to rapidly provide a routing solution. Because a reference routing layout design does not exist in most engineering problems, a cell-based genetic algorithm combined with a modified maze algorithm is employed to generate a reference design. To consider the clamping condition of the routing components, a new fitness function in the genetic algorithm is implemented. The numerical study shows that the proposed routing algorithm provides a better reference routing layout design than the conventional algorithm. The proposed automatic design system was applied to the routing layout design problem of a commercial truck. It was demonstrated that the proposed framework satisfies all industrial practitioners’ functional requirements and provides a systematic method of solving the routing layout design problem, considering all its characteristics.


中文翻译:

用于生成商用卡车中管道、软管和电缆线束的布线布局的自动设计系统

摘要
尽管已经开发了许多路由算法,但由于需要复杂的初步步骤,汽车行业的设计人员很难采用它们。本研究提出了一个系统框架,用于生成商用卡车中的管子、软管和电缆线束的布线布局。分析和定义了商用卡车的路线布局设计问题。对于路由操作,采用基于顺序图的路由算法来快速提供路由解决方案。由于在大多数工程问题中不存在参考布线布局设计,因此采用基于单元的遗传算法结合修改后的迷宫算法来生成参考设计。为了考虑路由组件的钳位条件,在遗传算法中实现了一种新的适应度函数。数值研究表明,所提出的布线算法比传统算法提供了更好的参考布线布局设计。将所提出的自动设计系统应用于商用卡车的路线布局设计问题。结果表明,所提出的框架满足所有工业从业者的功能要求,并提供了一种系统的方法来解决布线布局设计问题,同时考虑到其所有特性。
更新日期:2021-07-09
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