Výsledky vyhledávání - "Irina Sizova"

Akademický článek

Process optimization and study of the co-sintering behaviour of Cu-Ni multi-material 3D structures fabricated by spark plasma sintering (SPS)

Autor: Muhammad Imran, Léa Deillon, Irina Sizova, Bram Neirinck, Markus Bambach

Publikováno v: Materials & Design, Vol 223, Iss , Pp 111210- (2022)

The present work focuses on the possibility of manufacturing multi-material structures by spark plasma sintering (SPS), thereby broadening the field of application of this process by taking full advantage of the specific properties of individual mate

Externí odkaz: https://doaj.org/article/0dac939438c8499da24f4772537f8fba

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Akademický článek

A soft sensor for property control in multi-stage hot forming based on a level set formulation of grain size evolution and machine learning

Autor: Markus Bambach, Muhammad Imran, Irina Sizova, Johannes Buhl, Stephan Gerster, Michael Herty

Publikováno v: Advances in Industrial and Manufacturing Engineering, Vol 2, Iss , Pp 100041- (2021)

Close-die forging usually has the goal of shaping a workpiece at reduced forming forces and to set the properties for the application at hand utilizing the microstructural changes occurring at high homologous temperatures. The evolution of the proper

Externí odkaz: https://doaj.org/article/fc9dbe79a39f4138868a062cab8dbe7b

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Akademický článek

Residual Stress and Microstructure of a Ti-6Al-4V Wire Arc Additive Manufacturing Hybrid Demonstrator

Autor: Tatiana Mishurova, Benjamin Sydow, Tobias Thiede, Irina Sizova, Alexander Ulbricht, Markus Bambach, Giovanni Bruno

Publikováno v: Metals, Vol 10, Iss 6, p 701 (2020)

Wire Arc Additive Manufacturing (WAAM) features high deposition rates and, thus, allows production of large components that are relevant for aerospace applications. However, a lot of aerospace parts are currently produced by forging or machining alon

Externí odkaz: https://doaj.org/article/09227057196e450e984f087bb0ff01f3

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Akademický článek

Applying Machine Learning to the Phenomenological Flow Stress Modeling of TNM-B1

Autor: Johan A. Stendal, Markus Bambach, Mark Eisentraut, Irina Sizova, Sabine Weiß

Publikováno v: Metals, Vol 9, Iss 2, p 220 (2019)

Data-driven or machine learning approaches are increasingly being used in material science and research. Specifically, machine learning has been implemented in the fields of materials discovery, prediction of phase diagrams and material modelling. In

Externí odkaz: https://doaj.org/article/2fd912a7512447e3b0631bdd84ed41e6

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Akademický článek

Devising Strain Hardening Models Using Kocks–Mecking Plots—A Comparison of Model Development for Titanium Aluminides and Case Hardening Steel

Autor: Markus Bambach, Irina Sizova, Sebastian Bolz, Sabine Weiß

Publikováno v: Metals, Vol 6, Iss 9, p 204 (2016)

The present study focuses on the development of strain hardening models taking into account the peculiarities of titanium aluminides. In comparison to steels, whose behavior has been studied extensively in the past, titanium aluminides possess a much

Externí odkaz: https://doaj.org/article/00b18cd157cf48bcb5fc10b07dd926b1

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MANAGEMENT OF SUSTAINABLE DEVELOPMENT OF AN INDUSTRIAL ENTERPRISE

Autor: Irina Sizova

Publikováno v: Russian Journal of Management. 10:91-95

The development of the domestic economy is closely interrelated with the level of competitiveness, sustainability of the development of the industrial sector of the economy. Sustainable development of industrial enterprises requires optimal condition

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d849dadf7b5d0435a9d83f74071440af
https://doi.org/10.29039/2409-6024-2022-10-3-91-95

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