Numerical investigations regarding a novel process chain for the production of a hybrid bearing bushing

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Behrens, B.-A.; Maier, H.J.; Poll, G.; Wriggers, P.; Aldakheel, F. et al.: Numerical investigations regarding a novel process chain for the production of a hybrid bearing bushing. In: Production Engineering 14 (2020), S. 569-581. DOI: https://doi.org/10.1007/s11740-020-00992-7

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Sum total of downloads: 183




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This contribution deals with the numerical investigations to develop a novel process chain for hybrid solid components using Tailored Forming. For manufacturing a hybrid bearing bushing, co-extrusion is the first step to produce hybrid semi-finished workpieces followed by a die forging process, machining processes and hardening. Combining aluminium with steel, compounds with wear-resistant functional surfaces and reduced weight are realised. Numerical simulations are a decisive part of the process chain design, for example to determine suitable process parameters for the co-extrusion process and to predict the thickness of intermetallic phases in the joining zone using a macroscopic phenomenological model. A numerical design including a tool analysis of the die forging process was carried out taking the experimentally determined material properties and the temperature profile after inductive heating into account. Additionally, the damage and fatigue behaviour of the polycrystalline material of the joining zone are modelled at the microstructure level. Moreover, a new discretization scheme, namely the virtual element method, which is more efficient at grain level, is developed regarding a crystal plasticity framework. Numerical simulations are used to develop inductive heating strategies for the forming process and for the design of the inductive hardening of the functional surface at the end of the process chain. In order to investigate the performance of this hybrid machine element under application-oriented conditions, a contact simulation is linked with a statistical damage model to calculate the bearing fatigue. In this study, a general overview of the individual process steps is given and results of the respective models are presented. © 2020, The Author(s).
License of this version: CC BY 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2020
Appears in Collections:Fakultät für Maschinenbau

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pos. country downloads
total perc.
1 image of flag of Germany Germany 105 57.38%
2 image of flag of United States United States 24 13.11%
3 image of flag of China China 22 12.02%
4 image of flag of Russian Federation Russian Federation 6 3.28%
5 image of flag of Czech Republic Czech Republic 6 3.28%
6 image of flag of United Kingdom United Kingdom 3 1.64%
7 image of flag of No geo information available No geo information available 2 1.09%
8 image of flag of Indonesia Indonesia 2 1.09%
9 image of flag of Hong Kong Hong Kong 2 1.09%
10 image of flag of Spain Spain 2 1.09%
    other countries 9 4.92%

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