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pro vyhledávání: '"Akbari, Parand"'
Publikováno v:
Additive Manufacturing, Volume 91, 2024, 104320, ISSN 2214-8604
Predicting mechanical properties in metal additive manufacturing (MAM) is essential for ensuring the performance and reliability of printed parts, as well as their suitability for specific applications. However, conducting experiments to estimate mec
Externí odkaz:
http://arxiv.org/abs/2209.12605
Autor:
Hemmasian, AmirPouya, Ogoke, Francis, Akbari, Parand, Malen, Jonathan, Beuth, Jack, Farimani, Amir Barati
Powder-based additive manufacturing has transformed the manufacturing industry over the last decade. In Laser Powder Bed Fusion, a specific part is built in an iterative manner in which two-dimensional cross-sections are formed on top of each other b
Externí odkaz:
http://arxiv.org/abs/2207.12259
Autor:
Akbari, Parand, Ogoke, Francis, Kao, Ning-Yu, Meidani, Kazem, Yeh, Chun-Yu, Lee, William, Farimani, Amir Barati
Characterizing meltpool shape and geometry is essential in metal Additive Manufacturing (MAM) to control the printing process and avoid defects. Predicting meltpool flaws based on process parameters and powder material is difficult due to the complex
Externí odkaz:
http://arxiv.org/abs/2201.11662
Publikováno v:
In Materialia December 2024 38
Publikováno v:
In Additive Manufacturing 5 July 2024 91
Autor:
Hemmasian, AmirPouya, Ogoke, Francis, Akbari, Parand, Malen, Jonathan, Beuth, Jack, Barati Farimani, Amir
Publikováno v:
In Additive Manufacturing Letters April 2023 5
Predicting mechanical properties in metal additive manufacturing (MAM) is vital to ensure the printed parts' performance, reliability, and whether they can fulfill requirements for a specific application. Conducting experiments to estimate mechanical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a3bdf5b9fffc059b6933a5577882e344