Zobrazeno 1 - 10
of 27
pro vyhledávání: '"William Halsey"'
Autor:
Luke Scime, Chase Joslin, David A. Collins, Michael Sprayberry, Alka Singh, William Halsey, Ryan Duncan, Zackary Snow, Ryan Dehoff, Vincent Paquit
Publikováno v:
Materials, Vol 16, Iss 23, p 7293 (2023)
This article proposes a generalizable, data-driven framework for qualifying laser powder bed fusion additively manufactured parts using part-specific in situ data, including powder bed imaging, machine health sensors, and laser scan paths. To achieve
Externí odkaz:
https://doaj.org/article/f258b76a0d934eb399b43d9b5ad5010f
Publikováno v:
Frontiers in Mechanical Engineering, Vol 7 (2021)
In powder bed fusion additive manufacturing, machines are often equipped with in-situ sensors to monitor the build environment as well as machine actuators and subsystems. The data from these sensors offer rich information about the consistency of th
Externí odkaz:
https://doaj.org/article/00ef93f7d9dd4865b96ad70a73562665
Autor:
Vincent Paquit, Rebecca Brink, Canhai Lai, Joseph Simpson, Derek Rose, Michael Sprayberry, Amir Ziabari, Kyle Saleeby, Samuel Leach, James Haley, William Halsey, Alka Singh, Luke Scime
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f763cde09e0aaba661bb3d76dcd85c5e
https://doi.org/10.26226/morressier.612f6739bc981037241009ad
https://doi.org/10.26226/morressier.612f6739bc981037241009ad
Autor:
Alex Plotkowski, J. Ferguson, Ryan R. Dehoff, Michael M. Kirka, William Halsey, A. Marquez Rossy, B. Stump, S. Suresh Babu, Vincent C. Paquit, Chase Joslin
Publikováno v:
Additive Manufacturing. 46:102092
Spatial control of microstructure within a three-dimensional component has been a dream of materials scientists for centuries. However, limitations in traditional manufacturing processes prevent detailed control over the distribution of microstructur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a27634a4b1ce3a33f5c02a5803b1b67c
https://doi.org/10.1016/j.addma.2021.102092
https://doi.org/10.1016/j.addma.2021.102092
Publikováno v:
Computers & Graphics. 63:50-64
Flexible visual analysis of long, high-resolution, and irregularly sampled time series data from multiple sensor streams is a challenge in several domains. In the field of additive manufacturing, this capability is critical for realizing the full pot
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e64f3802200a843bc5aebe7ad1adf63
https://doi.org/10.1016/j.cag.2017.02.005
https://doi.org/10.1016/j.cag.2017.02.005