Zobrazeno 1 - 10
of 119
pro vyhledávání: '"Elias P. Koumoulos"'
Publikováno v:
Applied Sciences, Vol 14, Iss 10, p 4207 (2024)
Airborne pollutants pose a significant threat in the occupational workplace resulting in adverse health effects. Within the Industry 4.0 environment, new systems and technologies have been investigated for risk management and as health and safety sma
Externí odkaz:
https://doaj.org/article/dc82ebd937ae43ffa42d547520fc3862
Autor:
Leonidas Gargalis, Leonidas Karavias, Joachim S. Graff, Spyros Diplas, Elias P. Koumoulos, Evangelia K. Karaxi
Publikováno v:
Metals, Vol 14, Iss 3, p 361 (2024)
In the original publication [...]
Externí odkaz:
https://doaj.org/article/af0d4191e15144e5aad9ac1748ac331a
Autor:
Ioannis Kokkinopoulos, Panagiotis Karayannis, Stratos Saliakas, Spyridon Damilos, Elias P. Koumoulos
Publikováno v:
Standards, Vol 2, Iss 4, Pp 490-502 (2022)
Extensive research is currently being conducted on nanotechnologies worldwide, and the applications of nanomaterials are continuously expanding. Given their unique intrinsic characteristics, such as their small size and increased reactivity, nanomate
Externí odkaz:
https://doaj.org/article/793a3f7c415e42339cda32ff4dc4ea2f
Autor:
Leonidas Gargalis, Leonidas Karavias, Joachim S. Graff, Spyros Diplas, Elias P. Koumoulos, Evangelia K. Karaxi
Publikováno v:
Metals, Vol 13, Iss 11, p 1897 (2023)
The aim of this paper was to compare duplex (DSS) and super duplex stainless steel processed by laser powder bed fusion (LPBF) based on the process parameters and microstructure–nanomechanical property relationships. Each alloy was investigated wit
Externí odkaz:
https://doaj.org/article/b4693aa589104617a044fc4801a823b6
Autor:
Leonidas Gargalis, Leonidas Karavias, Joachim S. Graff, Spyros Diplas, Elias P. Koumoulos, Evangelia K. Karaxi
Publikováno v:
Metals, Vol 13, Iss 9, p 1546 (2023)
Additive manufacturing of Duplex Stainless Steels (DSS) and Super Duplex Stainless Steels (SDSS) has been successfully demonstrated using LPBF in recent years, however, both alloys feature an almost fully ferritic microstructure in the as-built condi
Externí odkaz:
https://doaj.org/article/5c129fa893104227ac22585c67f80f8e
Autor:
Stratos Saliakas, Spyridon Damilos, Melpo Karamitrou, Aikaterini-Flora Trompeta, Tatjana Kosanovic Milickovic, Costas Charitidis, Elias P. Koumoulos
Publikováno v:
Polymers, Vol 15, Iss 13, p 2836 (2023)
Nanoparticles are being used in novel applications of the thermoplastics industry, including automotive parts, the sports industry and leisure and consumer goods, which can be produced nowadays through additive manufacturing. However, there is limite
Externí odkaz:
https://doaj.org/article/d732413fadd148e99c01d6408fa73447
Autor:
Anna Karatza, Panagiotis Zouboulis, Iakovos Gavalas, Dionisis Semitekolos, Artemis Kontiza, Melpo Karamitrou, Elias P. Koumoulos, Costas Charitidis
Publikováno v:
Journal of Manufacturing and Materials Processing, Vol 6, Iss 6, p 129 (2022)
Stereolithography (SL) additive manufacturing process provides increased dimensional precision, smooth surface finish and printing resolution range in the order of magnitude of 100 μm, allowing to obtain intricate 3D geometries. The incorporation of
Externí odkaz:
https://doaj.org/article/4d54d8706dab444ca60d8f1d39e909b9
Autor:
Georgios Bakas, Spyridon Dimitriadis, Stavros Deligiannis, Leonidas Gargalis, Ioannis Skaltsas, Kyriaki Bei, Evangelia Karaxi, Elias P. Koumoulos
Publikováno v:
Metals, Vol 12, Iss 11, p 1816 (2022)
A methodology for the automated analysis of metal powder scanning electron microscope (SEM) images towards material characterization is developed and presented. This software-based tool takes advantage of a combination of recent artificial intelligen
Externí odkaz:
https://doaj.org/article/07b1affb2fa941c7a71364b1c2a3edf5
Publikováno v:
Polymers, Vol 14, Iss 19, p 3952 (2022)
Bi-material composite structures with continuous fibers embedded on polymer substrates exhibit self-morphing under thermal stimulus induced by the different coefficients of thermal expansion (CTE) between the two constituent materials. In this study,
Externí odkaz:
https://doaj.org/article/1de8f6c2308e45f3bf852b7757eba349
Publikováno v:
Nanomaterials, Vol 12, Iss 15, p 2646 (2022)
Machine learning has been an emerging scientific field serving the modern multidisciplinary needs in the Materials Science and Manufacturing sector. The taxonomy and mapping of nanomaterial properties based on data analytics is going to ensure safe a
Externí odkaz:
https://doaj.org/article/8adca03d7aeb4679a9c5dbf0459adefe