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.
Papers
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Dry Cutting Experiments Database Ti6Al4V and Ck45
TL;DR: In this paper , a large scale experimental study of dry orthogonal cutting experiments of Ti6Al4V (3.7165 Grade 5) and Ck45 (AISI 1045) along with their documentation and interpretation is provided.
Proceedings ArticleDOI
Correlation of cutting force and power consumption for ultrasonic-vibration-assisted cutting of label paper stacks
TL;DR: In this article, the authors compared conventional and ultrasonic vibration assisted guillotine cutting of paper stacks on plain and aluminum coated label paper, and found that the cutting force of both paper species depends on the average speed of the tool.
Journal ArticleDOI
Faster than real-time path-sensitive temperature modeling of wire-arc additive manufacturing by a data-driven finite volume method
TL;DR: In this article , a new data-driven finite volume model that combines the semi-discrete form of the energy balance with a temporal convolutional neural network is proposed to predict the transient temperature fields as a function of the deposition path.
Measurement of the effect of the cutting fluid on the thermal response of a five-axis machine tool
TL;DR: In this paper, the influence of cutting fluid on the thermal behavior of five-axis precision machine tools was investigated, and it was observed that the combination of different lubrication modes alters the machine thermal behavior and strongly influences the angular deviations of the axes under investigation.
Book ChapterDOI
Efficient noise-vibration-harshness-modeling for squirrel-cage induction drives in EV applications
TL;DR: An efficient and highly detailed Noise-Vibration-Harshness (NVH) modeling and analysis workflow for electric induction drives in E-mobility and hybrid applications due to magnetic force excitation is presented.