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Comparison of particle swarm optimization and genetic algorithm for molten pool detection in fixed aluminum pipe welding

Ario Sunar Baskoro, Rui Masuda, Yasuo Suga (Fakultas Teknik Universitas Indonesia, 2011)

 Abstrak

This paper proposes a study on the comparison of particle swarm optimization with genetic algorithm for molten pool detection in fixed aluminum pipe welding. The research was conducted for welding of aluminum alloy Al6063S-T6 with a controlled welding speed and a Charge-couple Device (CCD) camera as vision sensor. Omnivision-based monitoring using a hyperboloidal mirror was used to detect the molten pool. In this paper, we propose an optimized brightness range for detecting the molten pool edge using particle swarm optimization and compare the results to genetic algorithm. The values of the brightness range were applied to the real time control system using fuzzy inference system. Both optimization methods showed good results on the edge detection of the molten pool. The results of experiments with control show the effectiveness of the image processing algorithm and control process.

 Metadata

No. Panggil : AJ-Pdf
Entri utama-Nama orang :
Entri tambahan-Nama orang :
Subjek :
Penerbitan : [Place of publication not identified]: Fakultas Teknik Universitas Indonesia, 2011
Sumber Pengatalogan :
ISSN :
Majalah/Jurnal : International Journal of Technology
Volume : Vol. 2, No. 1, Januari 2011: 74-83
Tipe Konten :
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Akses Elektronik : http://www.ijtech.eng.ui.ac.id/File/Volume%202%20Issue%201%20Page%2074-83.pdf
Institusi Pemilik : Universitas Indonesia
Lokasi : Fakultas Teknik UI
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No. Panggil No. Barkod Ketersediaan
AJ-Pdf 03-20-097834260 TERSEDIA
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