K
Konrad Wegener
Researcher at ETH Zurich
Publications - 552
Citations - 11455
Konrad Wegener is an academic researcher from ETH Zurich. The author has contributed to research in topics: Machining & Machine tool. The author has an hindex of 42, co-authored 486 publications receiving 7959 citations. Previous affiliations of Konrad Wegener include University of Zurich & École Polytechnique Fédérale de Lausanne.
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Journal ArticleDOI
The Influence of Particle Shape, Powder Flowability, and Powder Layer Density on Part Density in Laser Powder Bed Fusion
Lukas Haferkamp,Livia Haudenschild,Adriaan B. Spierings,Konrad Wegener,Kirstin Riener,Stefan Ziegelmeier,Gerhard Leichtfried +6 more
TL;DR: In this paper, the relationship between these properties and their influence on final part density for six 1.4404 (316L) powders and eight AlSi10Mg powders was investigated, and the results showed a correlation of the powder properties with a Pearson correlation coefficient (PCC) of −0.89 for the PLD and the Hausner ratio.
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Phase and microstructure formation in rapidly solidified Cu-Sn and Cu-Sn-Ti alloys
Xiaoshuang Li,Xiaoshuang Li,Toni Ivas,Adriaan B. Spierings,Konrad Wegener,Christian Leinenbach +5 more
TL;DR: In this article, the microstructure and phase formation in binary and ternary Cu-Sn-Ti alloys under rapid solidification conditions are studied as a function of alloy composition and cooling rate and compared to the results from solidification at low cooling rate in a differential scanning calorimetry furnace.
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Human-robot Collaboration in Decentralized Manufacturing Systems: An Approach for Simulation-based Evaluation of Future Intelligent Production ☆
TL;DR: In this article, the authors introduce concepts for the design of decentralized manufacturing systems and a detailed simulation-based approach for evaluating the performance of the system, particularly the relationships between factory layout planning, production scheduling, and human-robot work distribution.
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Influence of energy fraction in EDM drilling of Inconel 718 by statistical analysis and finite element crater-modelling
TL;DR: In this paper, finite element analysis (FEA) of a single discharge is performed to calculate the energy fraction flowing into the anode of an electro discharge machining (EDM) workpiece.
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Characterisation of thermal influences after laser processing polycrystalline diamond composites using long to ultrashort pulse durations
TL;DR: In this paper, the laser processing of cutting tool edges is growing rapidly due to its flexibility, short cycle times and negligible waste, however, the quality of the tool and its cutting edge can vary greatly with different laser parameters and processing strategies.