Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Rodica Neamtu"'
Autor:
Stephen Price, Kiran Judd, Matthew Gleason, Kyle Tsaknopoulos, Danielle L. Cote, Rodica Neamtu
Publikováno v:
Metals, Vol 14, Iss 8, p 905 (2024)
Wire arc-directed energy deposit (wire-arc DED) enables the efficient manufacturing of large-scale metal parts. Many factors can impact overall part quality during manufacturing, including processing parameters such as feed rate, travel speed, and va
Externí odkaz:
https://doaj.org/article/1a05b3808de34a138477dca667a597cf
Publikováno v:
Powders, Vol 2, Iss 1, Pp 189-204 (2023)
This study investigates the relationship between metallic powders and their flowability behavior (captured in terms of Hall flow rates using Hall flowmeters). Due to the many trait dependencies of powder flowability, which have made the formulation o
Externí odkaz:
https://doaj.org/article/f251a39e3e244e9eac2180f4e527cc95
Autor:
Stephen Price, Kiran Judd, Matthew Gleason, Kyle Tsaknopoulos, Danielle L. Cote, Rodica Neamtu
Publikováno v:
Metals, Vol 14, Iss 3, p 282 (2024)
This study advances foundational knowledge regarding the impact of processing parameters and material selection on bead shape in Wire Arc directed energy deposition (Wire Arc DED) additive manufacturing. Through the collection and analysis of the lar
Externí odkaz:
https://doaj.org/article/687583d684504c1fa581ad1ae2819cd5
Publikováno v:
Materials & Design, Vol 233, Iss , Pp 112161- (2023)
Low-cost perovskite solar cells (PSCs) have experienced unprecedented gains in power conversion efficiency (PCE) of up to 25% of lab-scale devices. To be realized in the market, however, PSCs are not only required to be efficient but also scalable in
Externí odkaz:
https://doaj.org/article/161c3edb41b3456794806ae95794dd35
Autor:
Alicia Howell-Munson, Christopher Micek, Ziheng Li, Michael Clements, Andrew C. Nolan, Jackson Powell, Erin T. Solovey, Rodica Neamtu
Publikováno v:
Proceedings of the ACM on Human-Computer Interaction. 6:1-41
Technology advances and lower equipment costs are enabling non-invasive, convenient recording of brain data outside of clinical settings in more real-world environments, and by non-experts. Despite the growing interest in and availability of brain si
Publikováno v:
Integrating Materials and Manufacturing Innovation. 10:661-676
Research concerned with the identification as well as quantification of satellites found within metallic powders has recently demonstrated the promise of implementing Mask R-CNNs, instance segmentation, and transfer learning. Though the original rese
Autor:
Alicia Howell-Munson, Emily Doherty, Peter Gavriel, Claire Nicolas, Adam Norton, Rodica Neamtu, Holly Yanco, Yi-Ning Wu, Erin T. Solovey
Publikováno v:
2022 Symposium on Human-Computer Interaction for Work.
Autor:
Rodica Neamtu
Publikováno v:
Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 2.
Autor:
Stephen Price, Rodica Neamtu
Publikováno v:
Pattern Recognition and Artificial Intelligence ISBN: 9783031090363
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::99a95bbecedb21e9b447e269bf072981
https://doi.org/10.1007/978-3-031-09037-0_1
https://doi.org/10.1007/978-3-031-09037-0_1
Publikováno v:
The Minerals, Metals & Materials Series ISBN: 9783030923808
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::03bd244f9cff6f01c557df2c3ea16992
https://doi.org/10.1007/978-3-030-92381-5_66
https://doi.org/10.1007/978-3-030-92381-5_66