Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Katayoon Taherkhani"'
Autor:
Farima Liravi, Sebastian Soo, Sahar Toorandaz, Katayoon Taherkhani, Mahdi Habibnejad-Korayem, Ehsan Toyserkani
Publikováno v:
Inventions, Vol 9, Iss 4, p 87 (2024)
An integral part of laser powder bed fusion (LPBF) quality control is identifying optimal process parameters tailored to each application, often achieved through time-consuming and costly experiments. Melt pool dynamics further complicate LPBF qualit
Externí odkaz:
https://doaj.org/article/b73abde14a394ca5af1afab18f15774f
Publikováno v:
International Journal of Extreme Manufacturing, Vol 6, Iss 6, p 065601 (2024)
Traditional methods such as mechanical testing and x-ray computed tomography (CT), for quality assessment in laser powder-bed fusion (LPBF), a class of additive manufacturing (AM), are resource-intensive and conducted post-production. Recent advancem
Externí odkaz:
https://doaj.org/article/066fa06b84b048f19eae213e098e11c8
Publikováno v:
Journal of Manufacturing Processes. 81:476-489
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bdd510c04923e678ca65411c8a13fcde
https://doi.org/10.1016/j.jmapro.2022.06.074
https://doi.org/10.1016/j.jmapro.2022.06.074
Publikováno v:
Additive Manufacturing. 46:102152
Additive manufacturing (AM) has changed the entire manufacturing enterprise by offering unique features for the fabrication of complex-shapes with superior mechanical properties. In the last decades, through an exponential advancement, AM has been pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::725816080ada6c76f7b3789f08a10017
https://doi.org/10.1016/j.addma.2021.102152
https://doi.org/10.1016/j.addma.2021.102152
Autor:
Ehsan Toyserkani, Dyuti Sarker, Osezua Obehi Ibhadode, Farzad Liravi, Paola Russo, Katayoon Taherkhani
METAL ADDITIVE MANUFACTURING A comprehensive review of additive manufacturing processes for metallic structures Additive Manufacturing (AM)—also commonly referred to as 3D printing—builds three-dimensional objects by adding materials layer by lay
Publikováno v:
2017 Iranian Conference on Electrical Engineering (ICEE).
In the recent years, artificial neural network have been used to improvement of system identification. The performance of neural network directly depends on the hidden layer, which include weights and activation functions of the network. In addition
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eab6e635567a97eff4373e04693dbd30
https://doi.org/10.1109/iraniancee.2017.7985149
https://doi.org/10.1109/iraniancee.2017.7985149