Optimization of tool motion trajectories for pocket milling using a chaos ant colony algorithm

Ying Tian; Pingyu Jiang

doi:10.1109/CADCG.2007.4407914

Optimization of tool motion trajectories for pocket milling using a chaos ant colony algorithm

Ying Tian
, Pingyu Jiang

School of Mechanical Engineering

Xi'an Jiaotong University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 Scopus citations

Abstract

In order to generate the shortest and appropriate tool motion trajectories and reducing the nonproductive tool positioning time, the tool motion trajectories of pocket milling with contour-parallel should be optimized. A chaos ant colony algorithm (CACA) is presented to solve the optimization problem in this paper. In the CACA, ant colony optimization (ACO) is used to find out the local optimal solution of current position and chaos iterative is used to extend the searching spaces. To demonstrate the efficiency of the CACA, a numerical experiment is put forward. The results show that the algorithm could realize the optimization of tool motion trajectories effectively and rapidly In pocket milling with contour-parallel.

Original language	English
Title of host publication	Proceedings of 2007 10th IEEE International Conference on Computer Aided Design and Computer Graphics, CAD/Graphics 2007
Pages	389-394
Number of pages	6
DOIs	https://doi.org/10.1109/CADCG.2007.4407914
State	Published - 2007
Event	2007 10th IEEE International Conference on Computer Aided Design and Computer Graphics, CAD/Graphics 2007 - Beijing, China Duration: 15 Oct 2007 → 18 Oct 2007

Publication series

Name	Proceedings of 2007 10th IEEE International Conference on Computer Aided Design and Computer Graphics, CAD/Graphics 2007

Conference

Conference	2007 10th IEEE International Conference on Computer Aided Design and Computer Graphics, CAD/Graphics 2007
Country/Territory	China
City	Beijing
Period	15/10/07 → 18/10/07

Access to Document

10.1109/CADCG.2007.4407914

Cite this

Tian, Y., & Jiang, P. (2007). Optimization of tool motion trajectories for pocket milling using a chaos ant colony algorithm. In Proceedings of 2007 10th IEEE International Conference on Computer Aided Design and Computer Graphics, CAD/Graphics 2007 (pp. 389-394). Article 4407914 (Proceedings of 2007 10th IEEE International Conference on Computer Aided Design and Computer Graphics, CAD/Graphics 2007). https://doi.org/10.1109/CADCG.2007.4407914

Tian, Ying ; Jiang, Pingyu. / Optimization of tool motion trajectories for pocket milling using a chaos ant colony algorithm. Proceedings of 2007 10th IEEE International Conference on Computer Aided Design and Computer Graphics, CAD/Graphics 2007. 2007. pp. 389-394 (Proceedings of 2007 10th IEEE International Conference on Computer Aided Design and Computer Graphics, CAD/Graphics 2007).

@inproceedings{eab51a01d34b4e168478eeb575ce1341,

title = "Optimization of tool motion trajectories for pocket milling using a chaos ant colony algorithm",

abstract = "In order to generate the shortest and appropriate tool motion trajectories and reducing the nonproductive tool positioning time, the tool motion trajectories of pocket milling with contour-parallel should be optimized. A chaos ant colony algorithm (CACA) is presented to solve the optimization problem in this paper. In the CACA, ant colony optimization (ACO) is used to find out the local optimal solution of current position and chaos iterative is used to extend the searching spaces. To demonstrate the efficiency of the CACA, a numerical experiment is put forward. The results show that the algorithm could realize the optimization of tool motion trajectories effectively and rapidly In pocket milling with contour-parallel.",

author = "Ying Tian and Pingyu Jiang",

year = "2007",

doi = "10.1109/CADCG.2007.4407914",

language = "英语",

isbn = "9781424415793",

series = "Proceedings of 2007 10th IEEE International Conference on Computer Aided Design and Computer Graphics, CAD/Graphics 2007",

pages = "389--394",

booktitle = "Proceedings of 2007 10th IEEE International Conference on Computer Aided Design and Computer Graphics, CAD/Graphics 2007",

note = "2007 10th IEEE International Conference on Computer Aided Design and Computer Graphics, CAD/Graphics 2007 ; Conference date: 15-10-2007 Through 18-10-2007",

}

Tian, Y & Jiang, P 2007, Optimization of tool motion trajectories for pocket milling using a chaos ant colony algorithm. in Proceedings of 2007 10th IEEE International Conference on Computer Aided Design and Computer Graphics, CAD/Graphics 2007., 4407914, Proceedings of 2007 10th IEEE International Conference on Computer Aided Design and Computer Graphics, CAD/Graphics 2007, pp. 389-394, 2007 10th IEEE International Conference on Computer Aided Design and Computer Graphics, CAD/Graphics 2007, Beijing, China, 15/10/07. https://doi.org/10.1109/CADCG.2007.4407914

Optimization of tool motion trajectories for pocket milling using a chaos ant colony algorithm. / Tian, Ying; Jiang, Pingyu.
Proceedings of 2007 10th IEEE International Conference on Computer Aided Design and Computer Graphics, CAD/Graphics 2007. 2007. p. 389-394 4407914 (Proceedings of 2007 10th IEEE International Conference on Computer Aided Design and Computer Graphics, CAD/Graphics 2007).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Tian, Ying

AU - Jiang, Pingyu

PY - 2007

Y1 - 2007

N2 - In order to generate the shortest and appropriate tool motion trajectories and reducing the nonproductive tool positioning time, the tool motion trajectories of pocket milling with contour-parallel should be optimized. A chaos ant colony algorithm (CACA) is presented to solve the optimization problem in this paper. In the CACA, ant colony optimization (ACO) is used to find out the local optimal solution of current position and chaos iterative is used to extend the searching spaces. To demonstrate the efficiency of the CACA, a numerical experiment is put forward. The results show that the algorithm could realize the optimization of tool motion trajectories effectively and rapidly In pocket milling with contour-parallel.

AB - In order to generate the shortest and appropriate tool motion trajectories and reducing the nonproductive tool positioning time, the tool motion trajectories of pocket milling with contour-parallel should be optimized. A chaos ant colony algorithm (CACA) is presented to solve the optimization problem in this paper. In the CACA, ant colony optimization (ACO) is used to find out the local optimal solution of current position and chaos iterative is used to extend the searching spaces. To demonstrate the efficiency of the CACA, a numerical experiment is put forward. The results show that the algorithm could realize the optimization of tool motion trajectories effectively and rapidly In pocket milling with contour-parallel.

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DO - 10.1109/CADCG.2007.4407914

M3 - 会议稿件

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SN - 9781424415793

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BT - Proceedings of 2007 10th IEEE International Conference on Computer Aided Design and Computer Graphics, CAD/Graphics 2007

T2 - 2007 10th IEEE International Conference on Computer Aided Design and Computer Graphics, CAD/Graphics 2007

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ER -

Tian Y, Jiang P. Optimization of tool motion trajectories for pocket milling using a chaos ant colony algorithm. In Proceedings of 2007 10th IEEE International Conference on Computer Aided Design and Computer Graphics, CAD/Graphics 2007. 2007. p. 389-394. 4407914. (Proceedings of 2007 10th IEEE International Conference on Computer Aided Design and Computer Graphics, CAD/Graphics 2007). doi: 10.1109/CADCG.2007.4407914

Optimization of tool motion trajectories for pocket milling using a chaos ant colony algorithm

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