A Nozzle Path Planner for 3D Printing Applications
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Pages (from-to) | 6313-6323 |
Journal / Publication | IEEE Transactions on Industrial Informatics |
Volume | 16 |
Issue number | 10 |
Online published | 25 Dec 2019 |
Publication status | Published - Oct 2020 |
Link(s)
Abstract
Additive manufacturing technologies have been widely applied in both household and industrial applications. The fabrication time of a 3D printed object can be shortened by optimizing its segments printing order. The computational times required by existing nozzle path planning algorithms can increase rapidly with the number of printing segments. In this work, the nozzle path planning problem is formulated as an undirected rural postman problem (URPP) and a computationally efficient heuristic search algorithm is proposed to find fast routes and mitigate overheads in printing processes. Both simulation and experimental results concur that the proposed algorithm can significantly speed up printing processes and outperform its counterparts in 3D printing applications.
Research Area(s)
- 3D printing, additive manufacturing, undirected rural postman problem (URPP), heuristic search, path planning
Citation Format(s)
In: IEEE Transactions on Industrial Informatics, Vol. 16, No. 10, 10.2020, p. 6313-6323.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review