Zobrazeno 1 - 10
of 128
pro vyhledávání: '"Laurentiu Nastac"'
Autor:
Laurentiu Nastac
Publikováno v:
Materials, Vol 15, Iss 24, p 8885 (2022)
A fully transient discrete-source 3D Additive Manufacturing (AM) process model was coupled with a 3D stochastic solidification structure model to simulate the grain structure evolution quickly and efficiently in metallic alloys processed through Elec
Externí odkaz:
https://doaj.org/article/7f9bb727b20a44f9b3d8128373fe44a9
Autor:
Laurentiu Nastac
Publikováno v:
Metals, Vol 11, Iss 12, p 1995 (2021)
Recently, a few computational methodologies and algorithms have been developed to simulate the microstructure evolution in powder bed fusion (PBF) additive manufacturing (AM) processes. However, none of these have attempted to simulate the grain stru
Externí odkaz:
https://doaj.org/article/f89f28d632aa48db983b800be80389ba
Autor:
Daojie Zhang, Laurentiu Nastac
Publikováno v:
Journal of Materials Research and Technology, Vol 3, Iss 4, Pp 296-302 (2014)
The metal–matrix-nano-composites (MMNCs) in this study consist of a 6061 alloy matrix reinforced with 1.0 wt.% SiC nanoparticles that are dispersed within the matrix using an ultrasonic cavitation dispersion technique available in the Solidificatio
Externí odkaz:
https://doaj.org/article/62deab8c1c6d491bbc1dd378372d3b07
Autor:
Greyson Harvill, Jacob Williamson, Grace Schneider, Zach Hasenbusch, Laurentiu Nastac, Ben Brown, Andrew Deal, Luke Brewer
Publikováno v:
TMS 2023, San Diego CA March 19-23.
Autor:
Laurentiu Nastac
Publikováno v:
IOP Conference Series: Materials Science and Engineering. 1281:012002
A transient 3D multiscale model has been created to simulate the evolution of solidification microstructures rapidly and effectively in Ti6Al4V parts produced through Laser Powder Bed Fusion (LPBF). The microstructure simulation tool has been enhance
Autor:
Laurentiu Nastac, Aqi Dong
Publikováno v:
Metallurgical and Materials Transactions B. 52:2395-2403
In this study, three machine learning (ML) models were developed to predict the secondary dendrite arm spacing (SDAS) and then predictions were validated experimentally. First, a three-layer artificial neural network (ANN) was built to predict the SD
Autor:
Chris M. Fancher, Laurentiu Nastac, Jeffrey R. Bunn, Vish Arvikar, Ilya Levin, Tao Liu, Luke N. Brewer
Publikováno v:
Journal of Materials Engineering and Performance. 29:5428-5434
The residual strains in three high-pressure die cast A383 engine blocks were measured using neutron diffraction. Residual strains and stresses can be generated during high-pressure die casting process due to high thermal gradients and may cause fatig
Publikováno v:
International Journal of Cast Metals Research. 33:103-111
In this study, a chromium carbide layer was fabricated by an in-situ casting technique on ductile iron cast components. The procedure consists of (i) applying a ferrochrome slurry at the surfaces o...
Autor:
Laurentiu Nastac, Mikko Karkkainen
Publikováno v:
Metallurgical and Materials Transactions B. 51:664-676
In the present study, the fundamental model for interfacial heat transfer coefficient (IHTC) in high-pressure die-casting (HPDC) developed by Hamasaiid et al. is re-examined using numerical simulations and established literature. The role of impact p
Autor:
Qing Cao, Laurentiu Nastac
Publikováno v:
Ironmaking & Steelmaking. 47:873-881
A 3D transient CFD–reaction coupled model is developed to predict the slag–metal reaction and desulphurization kinetics in ladle furnace with both molten slag and air layers considered. The coupled...