Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/53647
Title: Trajectory planning for 3D printing : a revisit to traveling salesman problem
Authors: Ganganath, N
Cheng, CT 
Fok, KY
Tse, CK 
Keywords: 3D printers
Additive manufacturing
Trajectory generation
Path planning
Motion control
Issue Date: 2016
Publisher: Institute of Electrical and Electronics Engineers
Source: 2016 International Conference on Control, Automation and Robotics (ICCAR 2016) Hong Kong, 28-30 April 2016, p. 287-290 How to cite?
Abstract: Three dimensional (3D) printing can be used to manufacture many different objects range from toys to hi-tech robot parts. This paper investigates 3D printer trajectory planning to improve the speed of the printing process. The printing speed mainly depends on the motion speed and path of the printing nozzle. We use triangular and trapezoidal velocity profiles to minimize the transition time between print segments. In this work, several algorithms that were originally proposed as solutions for conventional traveling salesman problem are modified to adapt to the new problem. The proposed modifications are designed to obtain time-efficient trajectories for the printing nozzle.
Description: 2016 2nd International Conference on Control, Automation and Robotics (ICCAR), 28-30 April 2016
URI: http://hdl.handle.net/10397/53647
ISBN: 978-1-4673-9858-9
DOI: 10.1109/ICCAR.2016.7486742
Rights: © 2016 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.
The following publication Ganganath, N., Cheng, C. -. , Fok, K. -., & Tse, C. K. (2016). A 2-dimensional ACO-based path planner for off-line robot path planning. Paper presented at the Proceedings - 2016 International Conference on Control, Automation and Robotics, ICCAR 2016, 287-290 is available at 10.1109/ICCAR.2016.7486742
Appears in Collections:Conference Paper

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