Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Dominik Britz"'
Autor:
Björn-Ivo Bachmann, Martin Müller, Marie Stiefel, Dominik Britz, Thorsten Staudt, Frank Mücklich
Publikováno v:
Metals, Vol 14, Iss 9, p 1051 (2024)
Reliable microstructure characterization is essential for establishing process–microstructure–property links and effective quality control. Traditional manual microstructure analysis often struggles with objectivity, reproducibility, and scalabil
Externí odkaz:
https://doaj.org/article/0a1bc38cb77f4ce2b102308577bb6c0e
Publikováno v:
Metals, Vol 14, Iss 5, p 553 (2024)
The foundation of materials science and engineering is the establishment of process–microstructure–property links, which in turn form the basis for materials and process development and optimization. At the heart of this is the characterization a
Externí odkaz:
https://doaj.org/article/52a425f76a9146b8a9d138f541e42379
Publikováno v:
Journal of Materials Research and Technology, Vol 18, Iss , Pp 2048-2063 (2022)
Solubility of mixed niobium-titanium carbonitrides in commercially relevant High-Strength Low-Alloy (HSLA) steel was investigated by combined use of electrical resistivity measurements and APT after interrupted quenching from soaking temperatures bet
Externí odkaz:
https://doaj.org/article/6858c8a693dd4c93b0e4a9fc236dd913
Autor:
Aurèle Goetz, Ali Riza Durmaz, Martin Müller, Akhil Thomas, Dominik Britz, Pierre Kerfriden, Chris Eberl
Publikováno v:
npj Computational Materials, Vol 8, Iss 1, Pp 1-13 (2022)
Abstract Materials’ microstructures are signatures of their alloying composition and processing history. Automated, quantitative analyses of microstructural constituents were lately accomplished through deep learning approaches. However, their shor
Externí odkaz:
https://doaj.org/article/8a6d9f1b76ba4bdbbe5c411cadcf8947
Publikováno v:
Metals, Vol 13, Iss 8, p 1395 (2023)
Current conventional methods of evaluating microstructures are characterized by a high degree of subjectivity and a lack of reproducibility. Modern machine learning (ML) approaches have already shown great potential in overcoming these challenges. On
Externí odkaz:
https://doaj.org/article/1f61e76e3ad44370a7b7df7c20f31e7c
Autor:
Ali Riza Durmaz, Martin Müller, Bo Lei, Akhil Thomas, Dominik Britz, Elizabeth A. Holm, Chris Eberl, Frank Mücklich, Peter Gumbsch
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-15 (2021)
Segmentation and classification of microstructures are required by quality control and materials development. The authors apply deep learning for the segmentation of complex phase steel microstructures, providing a bridge between experimental and com
Externí odkaz:
https://doaj.org/article/63e5e4b34b434b15a778aed27ab99f3f
Autor:
Björn-Ivo Bachmann, Martin Müller, Dominik Britz, Ali Riza Durmaz, Marc Ackermann, Oleg Shchyglo, Thorsten Staudt, Frank Mücklich
Publikováno v:
Frontiers in Materials, Vol 9 (2022)
The high-temperature austenite phase is the initial state of practically all technologically relevant hot forming and heat treatment operations in steel processing. The phenomena occurring in austenite, such as recrystallization or grain growth, can
Externí odkaz:
https://doaj.org/article/0d528dbce9a84a30a9c196d7c90d36b5
Publikováno v:
Metals, Vol 11, Iss 11, p 1836 (2021)
With its excellent property combinations and ability to specifically adjust tailor-made microstructures, steel is still the world’s most important engineering and construction material. To fulfill ever-increasing demands and tighter tolerances in t
Externí odkaz:
https://doaj.org/article/04b38f3f30f346c2b2b50d6095a1e3ec
Publikováno v:
Metals, Vol 10, Iss 5, p 630 (2020)
Bainite is an essential constituent of modern high strength steels. In addition to the still great challenge of characterization, the classification of bainite poses difficulties. Challenges when dealing with bainite are the variety and amount of inv
Externí odkaz:
https://doaj.org/article/1878d72d85dd4de8970c09ed27e59e5e
Autor:
Johannes Webel, Adrian Herges, Dominik Britz, Eric Detemple, Volker Flaxa, Hardy Mohrbacher, Frank Mücklich
Publikováno v:
Metals, Vol 10, Iss 2, p 243 (2020)
The microalloying with niobium (Nb) and titanium (Ti) is standardly applied in low carbon steel high-strength low-alloy (HSLA) steels and enables austenite conditioning during thermo-mechanical controlled processing (TMCP), which results in pronounce
Externí odkaz:
https://doaj.org/article/ba8a7c360b534cbe9a01d866f41c9b24