329
Views
3
CrossRef citations to date
0
Altmetric
Original Articles

A rectilinear pipe routing algorithm: Manhattan visibility graph

Pages 202-211 | Received 22 Aug 2014, Accepted 01 Mar 2015, Published online: 21 Apr 2015
 

Abstract

Pipe routing can be briefly formulated as seeking the shortest collision-free pipe paths while meeting certain engineering constraints. This article presents a new rectilinear pipe routing algorithm called Manhattan visibility graph (MVG) by extending the Visibility Graph method used for finding the shortest collision-free paths in Euclidean spaces to Manhattan spaces. Subsequently, the article proves that MVG can theoretically guarantee an optimal solution. Further, the article extends MVG algorithm to surface cases to meet requirements of routing pipes in aero-engine rotational spaces. Unlike previous graph methods that commonly yield more than n nodes (where n is the total number of terminals and obstacle vertices), MVG significantly reduces computation complexity because of containing only n nodes. Finally, numerical computations on a developed pipe routing system are performed to demonstrate the effectiveness and efficiency of the proposed method.

Additional information

Funding

This project is supported by National Natural Science Foundation of China [grant number 51305192] and PhD Start-up Fund of Liaoning Province of China [grant number 20131061].

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.