Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Amrita Basak"'
Autor:
Susheel Dharmadhikari, Amrita Basak
Publikováno v:
Machine Learning with Applications, Vol 7, Iss , Pp 100247- (2022)
Fatigue damage is one of the most common causes of failure in aerospace structural components. While numerical modeling and laboratory-scale experimentation provide much insight to the physics of failure evolution, it is extremely challenging to acco
Externí odkaz:
https://doaj.org/article/eb20f83caa8e4c6cb5308a7a213c636b
Publikováno v:
Applied Sciences, Vol 13, Iss 3, p 1542 (2023)
The article presents a mixed deep neural network (DNN) approach for detecting micron-scale fatigue damage in high-strength polycrystalline aluminum alloys. Fatigue testing is conducted using a custom-designed apparatus integrated with a confocal micr
Externí odkaz:
https://doaj.org/article/ea0bf32af9b04cbfaa2f166f156f47a9
Publikováno v:
Metals, Vol 12, Iss 11, p 1849 (2022)
Fatigue damage detection and its classification in metallic materials are persistently challenging the structural health monitoring community. The mechanics of fatigue damage is difficult to analyze and is further complicated because of the presence
Externí odkaz:
https://doaj.org/article/53773bf264ef4bedb94c184849fc0f67
Publikováno v:
Machines, Vol 9, Iss 10, p 211 (2021)
The paper presents a coupled machine learning and pattern recognition algorithm to enable early-stage fatigue damage detection in aerospace-grade aluminum alloys. U- and V-notched Al7075-T6 specimens are instrumented with a pair of ultrasonic sensors
Externí odkaz:
https://doaj.org/article/65c9c1489cc14fba95016943add74741
Autor:
Nicole Marie Angel, Amrita Basak
Publikováno v:
Journal of Manufacturing and Materials Processing, Vol 4, Iss 4, p 101 (2020)
The turbine section of aircraft engines (both commercial and military) is an example of one of the most hostile environments as the components in this section typically operate at upwards of 1650 °C in the presence of corrosive and oxidative gases.
Externí odkaz:
https://doaj.org/article/2bc5836bc092415cbe124e93dd2cdff5
Publikováno v:
Metals, Vol 10, Iss 5, p 683 (2020)
Metal additive manufacturing (AM) works on the principle of consolidating feedstock material in layers towards the fabrication of complex objects through localized melting and resolidification using high-power energy sources. Powder bed fusion and di
Externí odkaz:
https://doaj.org/article/140e8a421bde49d98c9168a49ffdc67e
Autor:
Ritam Pal, Amrita Basak
Publikováno v:
Alloys. 1:149-179
Additive manufacturing (AM) of metals can be broadly accomplished via two defined technologies: powder bed fusion and directed energy deposition. During AM fabrication, the melted feedstock material experiences fast thermal cycling due to the layer-b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5bfd59c91261746f70f5e28bcb126b4
https://doi.org/10.3390/alloys1020010
https://doi.org/10.3390/alloys1020010
Autor:
Amit Kumar Ball, Amrita Basak
In this study, a novel AI-based modeling approach is introduced to estimate high-fidelity heat transfer calculations and predict thermal distortion in metal additive manufacturing, specifically for the multi laser powder bed fusion (ML-PBF) process.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::655479563067943be7faf5b82919f795
https://doi.org/10.21203/rs.3.rs-2856513/v1
https://doi.org/10.21203/rs.3.rs-2856513/v1
Publikováno v:
Materials
Volume 16
Issue 3
Pages: 1129
Volume 16
Issue 3
Pages: 1129
The objective of this work is to compare the microstructure and microhardness properties of IN718 deposited by both powder- and wire-fed laser-directed energy deposition (L-DED) processes. The powder-fed L-DED is carried out on an Optomec LENS® syst
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::21be00493fd33b3b1c1bf438f9e6bc28
Process optimization for metal additive manufacturing (AM) is crucial to ensure repeatability, control microstructure, and minimize defects. Despite efforts to address this via the traditional design of experiments and statistical process mapping, th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::452f5f4489bfd614ef7c4719ee7af6af
http://arxiv.org/abs/2211.09545
http://arxiv.org/abs/2211.09545