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
Die-sink EDM in meso-micro machining
Umang Maradia,Marco Boccadoro,Josef Stirnimann,Ivano Dr. Beltrami,Friedrich Kuster,Konrad Wegener +5 more
TL;DR: In this paper, the capability for implementation of die-sink EDM in meso-micro scale machining (structures with surface area smaller than 10mm 2 down to 0.05mm 2 ) by concentrating on primary process parameters to obtain high material removal rate, low tool electrode wear with high form accuracy and precision.
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Towards Decentralized Production: A Novel Method to Identify Flexibility Potentials in Production Sequences Based on Flexibility Graphs
Lennart Bochmann,Lars Gehrke,Adrian Böckenkamp,Frank Weichert,Rainer Albersmann,Christian Prasse,Christoph Mertens,Marco Motta,Konrad Wegener +8 more
TL;DR: E-mail: lennart.soeren.bochmann@volkswagen.de
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Quasistatic fracture behaviour and defect assessment of brazed soft martensitic stainless steel joints
TL;DR: In this article, the deformation and quasistatic behavior of brazed joints of the martensitic stainless steel X3CrNiMo13-4 were investigated.
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Meshfree simulation of metal cutting: an updated Lagrangian approach with dynamic refinement
TL;DR: An implementation of a meshfree method, intended for the application to simulate an orthogonal metal cutting operation, and a dynamic refinement algorithm via particle splitting is employed to optimize the runtime.
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Thermal simulation in multiphase incompressible flows using coupled meshfree and particle level set methods
TL;DR: A particle-based numerical solver applicable to the simulation of heat transfer in multiphase immiscible flows including surface tension with a novel approach that ensures solver performance without the necessity of defining extra dummy particles for treating boundary conditions in meshfree simulations.