Automatic design system for generating routing layout of tubes, hoses, and cable harnesses in a commercial truck
Author(s) -
Saekyeol Kim,
Shinyu Kim,
Taeheok Choi,
Taejoon Kwon,
Tae Hee Lee,
Kwangrae Lee
Publication year - 2021
Publication title -
journal of computational design and engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.764
H-Index - 24
eISSN - 2288-5048
pISSN - 2288-4300
DOI - 10.1093/jcde/qwab034
Subject(s) - page layout , routing (electronic design automation) , truck , policy based routing , static routing , engineering , computer science , multipath routing , link state routing protocol , computer network , routing protocol , automotive engineering , advertising , business
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.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom