Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Steven Storck"'
Publikováno v:
Corrosion.
Laser powder bed fusion (LPBF), a metal additive manufacturing technique, was conducted on feedstock-modified 316L stainless steel (316L) powder produced by ball-milling of commercial 316L and 1 wt.% additive (Cerium oxide – CeO2, lanthanum (III) n
Publikováno v:
Corrosion Science. 209:110724
Autor:
Walter R. Zimbeck, J. Pepijn Veefkind, Pieternel F. Levelt, Gerard Otter, Matthew G. Kowalewski, M. Frank Morgan, Ludger van der Laan, William H. Swartz, John D. Boldt, Nickolay A. Krotkov, Floris van Kempen, Scott J. Janz, Can Li, Lok N. Lamsal, Steven Storck, Zachary J. Post
Publikováno v:
Sensors, Systems, and Next-Generation Satellites XXV.
Adverse air quality impacts human health and climate and has implications for environmental equity. The Compact Hyperspectral Air Pollution Sensor (CHAPS) is a newly designed small imaging spectrometer for remote sensing of nitrogen dioxide (NO2) and
Autor:
Tim Montalbano, A.M. Lennon, Morgana M. Trexler, Christopher Peitsch, Joseph Sopcisak, Ian McCue, Steven Storck
Publikováno v:
MRS Communications. 9:1214-1220
The authors report on pulsed laser powder bed fusion fabrication of nitinol (NiTi) shape memory materials. The authors first performed single-track laser parameter sweeps to assess melt pool stability and determine energy parameters and hatch spacing
Publikováno v:
MRS Communications. 9:1001-1007
The rise of additive manufacturing (AM) has enabled the rapid production of complex part geometries across multiple material domains. To date, however, AM of inorganic semiconductor materials has not been fully realized due to the difficulty of formi
Autor:
Venkata Bhuvaneswari Vukkum, Ahmed A Darwish, Jijo Christudasjustus, Steven Storck, Rajeev Kumar Gupta
Publikováno v:
ECS Meeting Abstracts. :1013-1013
Additive manufacturing (AM) is an emerging technology that can build 3d-component in a single step via the layer-by-layer process. Selective laser melting (SLM) is a popular powder bed fusion (PBF) – AM technique that involves rapid heating and coo
In context of the universal presence of defects in additively manufactured (AM) metals, efficient computational tools are required to rapidly screen AM microstructures for mechanical integrity. To this end, a deep learning approach is used to predict
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e2c1ed13793c4c95937d5db6e8d1c504
Autor:
Douglas B. Trigg, Gianna M. Valentino, Chuck E. Hebert, A.M. Lennon, Ian McCue, Steven Storck, Morgana M. Trexler, Drew P. Seker, Salahudin Nimer, James P. Mastandrea
Publikováno v:
Materials & Design, Vol 208, Iss, Pp 109935-(2021)
Transformational advances in additive manufacturing combined with the unique functional behavior of shape memory alloys (SMAs) has propelled the field of 4D printing “smart” materials. In this study, we leverage multiple processing pathways with
Autor:
Brandi N. Briggs, Salahudin Nimer, Doug Trigg, Timothy J. Montalbano, Jay L. Waterman, Steven Storck, Christopher Peitsch, Joseph Sopcisak
Publikováno v:
Journal of Materials Processing Technology. 294:117113
The preferred defect domain space for enhanced mechanical properties is a critical unknown in the selective laser melting (SLM) additive manufacturing community. This paper presents a systematic approach to relate mechanical properties and the micros
Autor:
Steven Storck, Rengaswamy Srinivasan, Cavin Mooers, Mo-Rigen He, Kevin J. Hemker, Joseph Sopcisak, David J. Sprouster, Jason R. Trelewicz, Timothy J. Montalbano
Publikováno v:
ECS Meeting Abstracts. :1206-1206
Additive manufacturing (AM) is a disruptive technology that has the potential to dramatically improve the US Department of Defense supply chain. The corrosion performance of these AM materials is not well understood and contradicts equivalent convent