Optimization of multi-pass pocket milling parameter using ant colony optimization

M. F F Ab Rashid, W. S W Harun, S. A C Ghani, N. M Z Nik Mohamed, A. N. Mohd Rose

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In material removal process, milling is one of the oldest processes that were introduced to remove unwanted material using rotated cutting tool. Although a lot of research to improve the process has been done, the process improvement is not stopping there because of evolving new material, method and technology. This paper presents a study to optimize multi-pass pocket milling parameter using Ant Colony Optimization (ACO). Two objectives were set in this work; obtaining optimum surface roughness value (Ra), and minimize machining time (Tm), while the independent variables were spindle speed, feedrate and depth of cut. The numerical experiment confirm that the ACO is having better performance compare with other algorithms (including Genetic Algorithm) for this particular problem. Moreover, result from ACO algorithm able to meet required machining specification.

Original languageEnglish
Title of host publicationEngineering and Innovative Materials III
PublisherTrans Tech Publications Ltd
Pages65-70
Number of pages6
Volume1043
ISBN (Print)9783038352853, 9783038352853
DOIs
Publication statusPublished - 2014
Externally publishedYes
Event3rd International Conference on Engineering and Innovative Materials, ICEIM 2014 - Kuala Lumpur, Malaysia
Duration: 4 Sep 20145 Sep 2014

Publication series

NameAdvanced Materials Research
Volume1043
ISSN (Print)10226680
ISSN (Electronic)16628985

Other

Other3rd International Conference on Engineering and Innovative Materials, ICEIM 2014
CountryMalaysia
CityKuala Lumpur
Period4/9/145/9/14

Fingerprint

Ant colony optimization
Machining
Cutting tools
Genetic algorithms
Surface roughness
Specifications
Experiments

Keywords

  • Ant colony optimization
  • Milling optimization
  • Multi-pass milling
  • Pocket milling

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Ab Rashid, M. F. F., Harun, W. S. W., Ghani, S. A. C., Nik Mohamed, N. M. Z., & Mohd Rose, A. N. (2014). Optimization of multi-pass pocket milling parameter using ant colony optimization. In Engineering and Innovative Materials III (Vol. 1043, pp. 65-70). (Advanced Materials Research; Vol. 1043). Trans Tech Publications Ltd. https://doi.org/10.4028/www.scientific.net/AMR.1043.65

Optimization of multi-pass pocket milling parameter using ant colony optimization. / Ab Rashid, M. F F; Harun, W. S W; Ghani, S. A C; Nik Mohamed, N. M Z; Mohd Rose, A. N.

Engineering and Innovative Materials III. Vol. 1043 Trans Tech Publications Ltd, 2014. p. 65-70 (Advanced Materials Research; Vol. 1043).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ab Rashid, MFF, Harun, WSW, Ghani, SAC, Nik Mohamed, NMZ & Mohd Rose, AN 2014, Optimization of multi-pass pocket milling parameter using ant colony optimization. in Engineering and Innovative Materials III. vol. 1043, Advanced Materials Research, vol. 1043, Trans Tech Publications Ltd, pp. 65-70, 3rd International Conference on Engineering and Innovative Materials, ICEIM 2014, Kuala Lumpur, Malaysia, 4/9/14. https://doi.org/10.4028/www.scientific.net/AMR.1043.65
Ab Rashid MFF, Harun WSW, Ghani SAC, Nik Mohamed NMZ, Mohd Rose AN. Optimization of multi-pass pocket milling parameter using ant colony optimization. In Engineering and Innovative Materials III. Vol. 1043. Trans Tech Publications Ltd. 2014. p. 65-70. (Advanced Materials Research). https://doi.org/10.4028/www.scientific.net/AMR.1043.65
Ab Rashid, M. F F ; Harun, W. S W ; Ghani, S. A C ; Nik Mohamed, N. M Z ; Mohd Rose, A. N. / Optimization of multi-pass pocket milling parameter using ant colony optimization. Engineering and Innovative Materials III. Vol. 1043 Trans Tech Publications Ltd, 2014. pp. 65-70 (Advanced Materials Research).
@inproceedings{74dde01080bf4a63bdd93dc12b3b707a,
title = "Optimization of multi-pass pocket milling parameter using ant colony optimization",
abstract = "In material removal process, milling is one of the oldest processes that were introduced to remove unwanted material using rotated cutting tool. Although a lot of research to improve the process has been done, the process improvement is not stopping there because of evolving new material, method and technology. This paper presents a study to optimize multi-pass pocket milling parameter using Ant Colony Optimization (ACO). Two objectives were set in this work; obtaining optimum surface roughness value (Ra), and minimize machining time (Tm), while the independent variables were spindle speed, feedrate and depth of cut. The numerical experiment confirm that the ACO is having better performance compare with other algorithms (including Genetic Algorithm) for this particular problem. Moreover, result from ACO algorithm able to meet required machining specification.",
keywords = "Ant colony optimization, Milling optimization, Multi-pass milling, Pocket milling",
author = "{Ab Rashid}, {M. F F} and Harun, {W. S W} and Ghani, {S. A C} and {Nik Mohamed}, {N. M Z} and {Mohd Rose}, {A. N.}",
year = "2014",
doi = "10.4028/www.scientific.net/AMR.1043.65",
language = "English",
isbn = "9783038352853",
volume = "1043",
series = "Advanced Materials Research",
publisher = "Trans Tech Publications Ltd",
pages = "65--70",
booktitle = "Engineering and Innovative Materials III",

}

TY - GEN

T1 - Optimization of multi-pass pocket milling parameter using ant colony optimization

AU - Ab Rashid, M. F F

AU - Harun, W. S W

AU - Ghani, S. A C

AU - Nik Mohamed, N. M Z

AU - Mohd Rose, A. N.

PY - 2014

Y1 - 2014

N2 - In material removal process, milling is one of the oldest processes that were introduced to remove unwanted material using rotated cutting tool. Although a lot of research to improve the process has been done, the process improvement is not stopping there because of evolving new material, method and technology. This paper presents a study to optimize multi-pass pocket milling parameter using Ant Colony Optimization (ACO). Two objectives were set in this work; obtaining optimum surface roughness value (Ra), and minimize machining time (Tm), while the independent variables were spindle speed, feedrate and depth of cut. The numerical experiment confirm that the ACO is having better performance compare with other algorithms (including Genetic Algorithm) for this particular problem. Moreover, result from ACO algorithm able to meet required machining specification.

AB - In material removal process, milling is one of the oldest processes that were introduced to remove unwanted material using rotated cutting tool. Although a lot of research to improve the process has been done, the process improvement is not stopping there because of evolving new material, method and technology. This paper presents a study to optimize multi-pass pocket milling parameter using Ant Colony Optimization (ACO). Two objectives were set in this work; obtaining optimum surface roughness value (Ra), and minimize machining time (Tm), while the independent variables were spindle speed, feedrate and depth of cut. The numerical experiment confirm that the ACO is having better performance compare with other algorithms (including Genetic Algorithm) for this particular problem. Moreover, result from ACO algorithm able to meet required machining specification.

KW - Ant colony optimization

KW - Milling optimization

KW - Multi-pass milling

KW - Pocket milling

UR - http://www.scopus.com/inward/record.url?scp=84921524866&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84921524866&partnerID=8YFLogxK

U2 - 10.4028/www.scientific.net/AMR.1043.65

DO - 10.4028/www.scientific.net/AMR.1043.65

M3 - Conference contribution

SN - 9783038352853

SN - 9783038352853

VL - 1043

T3 - Advanced Materials Research

SP - 65

EP - 70

BT - Engineering and Innovative Materials III

PB - Trans Tech Publications Ltd

ER -