Results 21 to 30 of about 13,222 (282)

Control of Porosity and Spatter in Laser Welding of Thick AlMg5 Parts Using High-Speed Imaging and Optical Microscopy

open access: yesMetals, 2017
We report on a feedback mechanism for rapid identification of optimal laser parameters during welding of AlMg5 coupons using real-time monitoring by high-speed imaging.
Andrei C. Popescu   +2 more
doaj   +1 more source

Systematic study of effect of cross-drafts and nozzle diameter on shield gas coverage [PDF]

open access: yes, 2013
A shield gas flow rate of 15–20 L min21 is typically specified in metal inert gas welding, but is often adjusted to as high as 36 L min21 by welders in practice. Not only is this overuse of shield gas wasteful, but uncontrolled high gas flows can lead to
Beyer, V.   +5 more
core   +1 more source

Effects of gas flow parameters on droplet spatter features and dynamics during large-scale laser powder bed fusion

open access: yesMaterials & Design, 2023
The droplet spatters generated by the laser induction directly affect the processing quality of the laser powder bed fusion (LPBF) process, gas parameters are a key factor in this process.
Zixin Liu   +9 more
doaj   +1 more source

GMAW shielding gas flow optimisation by refinement of nozzle geometry [PDF]

open access: yes, 2013
With an ongoing demand to improve the efficiency of the gas metal arc welding process, steps are being taken to reduce the shielding gas consumption. However, sufficient shielding gas coverage of the weld region is essential for the generation of high ...
Campbell   +6 more
core   +1 more source

Spatter matters – distinguishing primary (eruptive) and secondary (non-eruptive) spatter deposits [PDF]

open access: yesScientific Reports, 2018
AbstractSpatter is a common pyroclastic product of hawaiian fountaining, which typically forms vent-proximal ramparts or cones. Based on textural characteristics and field relations of spatter from the 1969 Mauna Ulu eruption of Kīlauea, Hawai’i, three spatter types were identified: (1) Primary spatter deposited as spatter ramparts and isolated cones ...
T. J. Jones   +4 more
openaire   +4 more sources

Prediction of powder bed thickness by spatter detection from coaxial optical images in selective laser melting of 316L stainless steel

open access: yesMaterials & Design, 2022
The uniformity of a recoated powder layer affects the performance of parts manufactured by SLM directly, while it is related to the characteristics of spatters. The small spatter moves pretty fast, while the low optical transmittance in the spectrum of a
Weihao Zhang   +3 more
doaj   +1 more source

Analysis of Spatter Removal by Sieving during a Powder-Bed Fusion Manufacturing Campaign in Grade 23 Titanium Alloy

open access: yesMetals, 2021
The Laser-based Powder Bed Fusion (L-PBF) process uses a laser beam to selectively melt powder particles deposited in a layer-wise fashion to manufacture components derived from Computer-Aided Design (CAD) information.
Ryan Harkin   +4 more
doaj   +1 more source

Material Reuse in Laser Powder Bed Fusion: Side Effects of the Laser—Metal Powder Interaction

open access: yesMetals, 2020
Metal additive manufacturing is changing the way in which engineers and designers model the production of three-dimensional (3D) objects, with rapid growth seen in recent years. Laser powder bed fusion (LPBF) is the most used metal additive manufacturing
Eleonora Santecchia   +2 more
doaj   +1 more source

Geometric Algebra Model of Distributed Representations [PDF]

open access: yes, 2010
Formalism based on GA is an alternative to distributed representation models developed so far --- Smolensky's tensor product, Holographic Reduced Representations (HRR) and Binary Spatter Code (BSC).
D. Aerts   +11 more
core   +1 more source

Enhancing the prediction quality of mechanical properties for powder bed fusion with laser beam by dynamic observation of flying particles

open access: yesMaterials & Design, 2023
Complex phenomena occur at the laser spot in powder bed fusion with laser beam (PBF-LB); thus, it creates several large process-parameter spaces such as power and scanning speed, along with many others. To allow for high-throughput parameter exploration,
Keisuke Nagato   +5 more
doaj   +1 more source

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