Zobrazeno 1 - 10
of 104
pro vyhledávání: '"Pasquale, Franciosa"'
Publikováno v:
Journal of Advanced Joining Processes, Vol 10, Iss , Pp 100256- (2024)
Battery housing (BH) in modern electric vehicles must meet demanding functional requirements. The design and geometry of the BH become intricate to prevent damage during collisions and to ensure absolute impermeability to gases and water during opera
Externí odkaz:
https://doaj.org/article/d2108023977948e8bfae681414293bfd
Autor:
Roham Sadeghi Tabar, Lars Lindkvist, Kristina Wärmefjord, Pasquale Franciosa, Dariusz Ceglarek, Rikard Söderberg
Publikováno v:
Applied Sciences, Vol 14, Iss 23, p 11144 (2024)
Welding-induced geometric deviations remain a critical challenge in industrial manufacturing, particularly in achieving high-precision assembly. This study investigates the effects of welding path directions, sequences, and locating schemes on the di
Externí odkaz:
https://doaj.org/article/831e3c216c5c4c01b0de6dd858f091c6
Autor:
Anand Mohan, Qamar Hayat, Soumitra Kumar Dinda, Venkat Vivek Pamarthi, Pasquale Franciosa, Dariusz Ceglarek, Michael Auinger
Publikováno v:
Journal of Advanced Joining Processes, Vol 9, Iss , Pp 100218- (2024)
Remote laser welding (RLW) technology has become a prominent joining technology in automotive industries, offering high production throughput and cost-effectiveness. Recent advancements in RLW processes such as beam oscillation have led to an increas
Externí odkaz:
https://doaj.org/article/3b22ee9b8fa6423788dd4fee3dfc7fe0
Autor:
Tianzhu Sun, Conghui Liu, Pasquale Franciosa, Nesta Ferguson, Gregory Gibbons, Dariusz Ceglarek, Evans Mogire, Peilei Zhang
Publikováno v:
Journal of Materials Research and Technology, Vol 27, Iss , Pp 5639-5650 (2023)
Additive manufacturing (AM) has gained significant attention in automotive applications, while the low weldability of AM material poses challenges when assembling AM materials with conventionally manufactured materials. This study investigated the la
Externí odkaz:
https://doaj.org/article/30e7abb90d664af48887ac9e086689a6
Publikováno v:
Journal of Materials Research and Technology, Vol 25, Iss , Pp 7154-7168 (2023)
Solidification cracking is a prevalent defect in welding aluminium alloys which can be effectively mitigated by employing grain refinement strategies. This paper investigates the feasibility of tailoring the weld zone grain structure of 6xxx series a
Externí odkaz:
https://doaj.org/article/8cd91f0c8b4b4b859e27e01763aea877
Publikováno v:
Journal of Materials Research and Technology, Vol 21, Iss , Pp 2247-2261 (2022)
This paper introduced the use of an adjustable-ring-mode (ARM) laser beam to optimise the microstructure and mechanical performance of laser welded 6xxx high-strength aluminium alloy joints. A remote laser welding system equipped with transverse beam
Externí odkaz:
https://doaj.org/article/eaa152a229ef462dac5f5007836967ae
Autor:
Vincenzo Russo, Giovanni Antonini, Roberto Massa, Carlo Casali, Alfredo Mauriello, Anna Maria Martino, Roberto Marconi, Matteo Garibaldi, Pasquale Franciosa, Massimo Zecchin, Carlo Gaudio, Antonello D’Andrea, Stefano Strano
Publikováno v:
Journal of Cardiovascular Development and Disease, Vol 11, Iss 2, p 63 (2024)
Myotonic dystrophy is a hereditary disorder with systemic involvement. The Italian Neuro-Cardiology Network-“Rete delle Neurocardiologie” (INCN-RNC) is a unique collaborative experience involving neurology units combined with cardio-arrhythmology
Externí odkaz:
https://doaj.org/article/add6358ab6914d319127cc6ca2e48918
Publikováno v:
Journal of Materials Research and Technology, Vol 14, Iss , Pp 2715-2726 (2021)
This paper aims at studying the impact of focal position offset on joint integrity of AA1050 battery busbar during remote laser welding. Welding experiments were conducted at different focal position offsets in the AA1050 L-joint with the integration
Externí odkaz:
https://doaj.org/article/c262c00afcc840dcabf0950ef9ff7307
Publikováno v:
IEEE Access, Vol 9, Pp 50188-50208 (2021)
Deep learning has demonstrated high accuracy for 3D object shape error modeling necessary to estimate dimensional and geometric quality defects in multi-station assembly systems (MAS). Increasingly, deep learning-driven Root Cause Analysis (RCA) is u
Externí odkaz:
https://doaj.org/article/60162c028f584b809f7815950bb584a5
Publikováno v:
The International Journal of Advanced Manufacturing Technology. 124:3311-3325
Remote Laser Welding (RLW) of Aluminium alloys has significant importance in lightweight manufacturing to decrease the weight of the body in white. It is critical to understand the physical process of transport phenomena during welding which is highl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be6707757cf00ee977eb1c789130caf1
https://doi.org/10.1007/s00170-022-10623-3
https://doi.org/10.1007/s00170-022-10623-3