Artikel Jurnal :: Kembali

Artikel Jurnal :: Kembali

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

Ario Sunar Baskoro, co-promotor; Masuda, Rui; Suga, Yasuo (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
Pengarang :
Pengarang/kontributor lain :
Subjek :
Penerbitan : [Place of publication not identified]: Fakultas Teknik Universitas Indonesia, 2011
Sumber Pengatalogan
ISSN
Majalah/JurnalInternational Journal of Technology
VolumeVol. 2, No. 1, Januari 2011: 74-83
Tipe Konten
Tipe Media
Tipe Carrier
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
  • Ketersediaan
  • Ulasan
  • Sampul
No. Panggil No. Barkod Ketersediaan
AJ-Pdf 03-20-097834260 TERSEDIA
Ulasan:
Tidak ada ulasan pada koleksi ini: 20322863