Please use this identifier to cite or link to this item:
PIRA download icon_1.1View/Download Full Text
Title: An ACO-based tool-path optimizer for 3D printing applications
Authors: Fok, KY 
Cheng, CT
Ganganath, N
Tse, CK 
Issue Date: Apr-2019
Source: IEEE transactions on industrial informatics, Apr. 2019, v. 15, no. 4, p. 2277-2287
Abstract: Layered additive manufacturing, also known as three-dimensional (3-D) printing, has revolutionized transitional manufacturing processes. Fabrication of 3-D models with complex structures is now feasible with 3-D printing technologies. By performing careful tool-path optimization, the printing process can be speeded up, while the visual quality of printed objects can be improved simultaneously. The optimization process can be perceived as an undirected rural postman problem (URPP) with multiple constraints. In this paper, a tool-path optimizer is proposed, which further optimizes solutions generated from a slicer software to alleviate visual artifacts in 3-D printing and shortens print time. The proposed optimizer is based on a modified ant colony optimization (ACO), which exploits unique properties in 3-D printing. Experiment results verify that the proposed optimizer can deliver significant improvements in computational time, print time, and visual quality of printed objects over optimizers based on conventional URPP and ACO solvers.
Keywords: Ant colony optimization (ACO)
Layered additive manufacturing
Rural postman problem
Tool-path optimization
Publisher: Institute of Electrical and Electronics Engineers
Journal: IEEE transactions on industrial informatics 
ISSN: 1551-3203
EISSN: 1941-0050
DOI: 10.1109/TII.2018.2889740
Rights: © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Personal use is permitted, but republication/redistribution requires IEEE permission.See for more information.
The following publication Fok, K. Y., Cheng, C. T., Ganganath, N., Iu, H. H. C., & Chi, K. T. (2019). An ACO-Based Tool-Path Optimizer for 3-D Printing Applications. IEEE Transactions on Industrial Informatics, 15(4), 2277-2287 is available at
Appears in Collections:Journal/Magazine Article

Files in This Item:
File Description SizeFormat 
Fok_ACO-based_Tool-path_Optimizer.pdfPre-Published version10.47 MBAdobe PDFView/Open
Open Access Information
Status open access
File Version Final Accepted Manuscript
View full-text via PolyU eLinks SFX Query
Show full item record

Page views

Last Week
Last month
Citations as of May 28, 2023


Citations as of May 28, 2023


Citations as of May 25, 2023


Citations as of May 25, 2023

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.