Pregled bibliografske jedinice broj: 790256
Data Mining to Predict Hybrid Laser Arc Welding Improvements in Ship Interim Product Assembly
Data Mining to Predict Hybrid Laser Arc Welding Improvements in Ship Interim Product Assembly // International Conference on Computer Applications in Shipbuilding 2015 Papers Volume 3 / The Royal Institution of Naval Architects (ur.).
London : Delhi: The Royal Institution of Naval Architects, 2015. str. 137-144 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 790256 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Data Mining to Predict Hybrid Laser Arc Welding Improvements in Ship Interim Product Assembly
Autori
Kolić, Damir ; Yao, Y. Lawrence ; Neuberg, Richard ; Storch, Richard Lee ; Fafandjel, Nikša
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
International Conference on Computer Applications in Shipbuilding 2015 Papers Volume 3
/ The Royal Institution of Naval Architects - London : Delhi : The Royal Institution of Naval Architects, 2015, 137-144
ISBN
978-1-909024-43-4
Skup
International Conference on Computer Applications in Shipbuilding 2015
Mjesto i datum
Bremen, Njemačka, 29.09.2015. - 02.10.2015
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Data mining; Hybrid laser arc welding; Interim product assembly; Shipbuilding
Sažetak
Most shipyards use gas metal arc welding (GMAW) or submerged arc welding (SAW) technologies in their steel panel line assembly processes. Since the welding work on panel assembly lines make up to 50 percent of total ship welds, improving the process by decreasing the duration time as well as energy use and filler materials will decrease production costs. The advent of lasers in production yields advantages of faster speed and smaller distortions. However, the shortcomings of using exclusively lasers to weld steel plates are the lack of filler material. Therefore hybrid laser arc welding (HLAW) takes advantage of the positive sides of both laser and gas metal arc welding to assemble panels with shorter duration times. Much data exists about assembling panels with conventional welding means. Therefore a data mining methodology using an interpretable regression method for accurately predicting the duration time outcomes of panels assembled with HLAW technology will allow shipyard management to make better decisions to transform their assembly lines by integrating laser technology in order to become more competitive through the reduction of production costs.
Izvorni jezik
Engleski
Znanstvena područja
Brodogradnja, Strojarstvo
POVEZANOST RADA
Ustanove:
Tehnički fakultet, Rijeka
