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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A study on laser touch dressing of electroplated diamond wheels using pulsed picosecond laser sources
Claus Dold,Robert Transchel,Mohammad Rabiey,P. Langenstein,Christian Jaeger,Frank Pude,Friedrich Kuster,Konrad Wegener +7 more
TL;DR: In this article, an investigation to explore the possibility of touch dressing of electroplated diamond wheels using a pulsed picosecond laser beam (Yb:YAG) was presented.
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Monitoring of vibrations and cutting forces with spindle mounted vibration sensors
TL;DR: In this article, a method to estimate the cutting forces and vibrations at the milling tool from accelerometers mounted on the spindle housing is presented, where the distortion of signal transmission from tool to the accelerometer location is compensated with a Kalman filter.
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Spatial powder flow measurement and efficiency prediction for laser direct metal deposition
TL;DR: In this paper, a robust, industry-oriented method is proposed to measure and evaluate the 3D powder flow density from a nozzle, considering the effect of the base material, and a setup was developed to measure the flow with high spatial and temporal resolution and to determine the position of the stream focus, laser beam, and tool axis.
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Chip Root Analysis after Machining Carbon Fiber Reinforced Plastics (CFRP) at Different Fiber Orientations
TL;DR: In this article, an extensive study on carbon fiber reinforced plastics (CFRP) chip roots for five different unidirectional fiber orientations using an orthogonal cutting test rig is presented.
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Optimal control for chatter mitigation in milling—Part 2: Experimental validation
TL;DR: In this paper, the authors present the use of a mechatronic system integrated into the spindle unit combined with two different optimal control strategies to minimize the influence of cutting forces on tool tip deviations.