Christoph Leyens
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Recent Grants
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Reduction of hot cracking by magnetofluiddynamic modification of the laser-induced melt pool convection during powder-based generative laser cladding
Open Date: 2018-01-01
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Grant: Close
Microstructure Evolution of EBM Gamma Titanium Alumiide (TNM-B1)
Open Date: 2018-01-01
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Microstructure and defect controlled additive manufacturing of gamma titanium aluminides for function-based control of local materials properties
Open Date: 2018-01-01
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Residual stress development and stability of Cr2AlC MAX phase coatings under thermal loading
Open Date: 2017-01-01
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Grant: Close
Thermodynamic investigations of the diffusion-based and oxidation-based depletion mechanisms in MCrAlY coatings
Open Date: 2016-01-01
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Articles (10)
In powder bed fusion additive manufacturing, the volumetric energy density E V is a commonly used parameter to quantify process energy input. However, recent results question the suitability of E V as a design parameter, as varying the contributing parameters may yield different part properties. Herein, beam current, scan velocity, and line offset in electron beam powder bed fusion (PBF‐EB) of the titanium aluminide alloy TNM–B1 are systematically varied while maintaining an overall constant E V . The samples are evaluated regarding surface morphology, relative density, microstructure, hardness, and aluminum loss due to evaporation. Moreover, the specimens are subjected to two different heat treatments to obtain fully lamellar (FL) and nearly lamellar (NLγ) microstructures, respectively. With a combination of low beam currents, low‐to‐intermediate scan velocities, and low line offsets, parts with even surfaces, relative densities above 99.9%, and homogeneous microstructures are achieved. On the other hand, especially high beam currents promote the formation of surface bulges and pronounced aluminum evaporation, resulting in inhomogeneous banded microstructures after heat treatment. The results demonstrate the importance of considering the individual parameters instead of E V in process optimization for PBF‐EB.
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2023
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2023
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2023
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2023
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2022
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2021
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2021
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2021
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2021
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2021
Collaborators (3)
Florian Bittner
Fraunhofer Institute for Machine Tools and Forming Technology IWU
Frank Walther
Technische Universität Dortmund
Leonid Gerdt
Fraunhofer Institute for Manufacturing Technology and Advanced Materials
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