2016
DOI: 10.1016/j.cad.2016.05.018
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Automatic routing of flexible 1D components with functional and manufacturing constraints

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Cited by 27 publications
(7 citation statements)
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“…Tang et al modeled guide wires in virtual surgery simulations 31 . Hermansson et al simulated cable geometry based on the Cosserat theory 32 . This modeling method can consider torsion and has good accuracy.…”
Section: Related Workmentioning
confidence: 99%
“…Tang et al modeled guide wires in virtual surgery simulations 31 . Hermansson et al simulated cable geometry based on the Cosserat theory 32 . This modeling method can consider torsion and has good accuracy.…”
Section: Related Workmentioning
confidence: 99%
“…Many various methods and algorithms have been developed and applied for solving various types of pipe, wire and hose routing for example evolutionary algorithms such as MOEA/D, a variant of multi-objective evolutionary algorithm developed by Li and Zhang (2006), applied on branch pipe routing (Liu and Liu, 2018) and ACO applied on multiple pipe and hose routing (Thantulage, 2009;Qu et al, 2018) and with constrained sampling (Kabul et al, 2007) but with limitations due to computational cost. Hermansson et al (2016) developed a path planning twostep method for deformable objects where the optimal collision free path is found first, followed by a locally optimized simulation to ensure static equilibrium of the object. A common strategy for routing hoses today in industry is to define the initial problem by setting up the conceptual assembly of the hoses in a CAD environment.…”
Section: Path Planning and Hose Routingmentioning
confidence: 99%
“…Kobayashi et al (2014) proposed an automotive wiring system using a genetic algorithm; the problem of wiring was divided into the generation of a wire harness configuration and a cable path. Hermansson et al (2016) presented a dynamic method for automatic path planning of a single cable. Considering contact constraints and the installation space, computational efficiency and reliability of physical simulation could be guaranteed; however, automatic route planning for multiple cables remains to be verified.…”
Section: Path Planningmentioning
confidence: 99%