Further development of wear calculation and wear reduction in cold forging processes

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Behrens, B.-A.; Brunotte, K.; Hübner, S.; Wester, H.; Müller, F. et al.: Further development of wear calculation and wear reduction in cold forging processes. In: Journal of Manufacturing and Materials Processing 5 (2021), Nr. 2, 36. DOI: https://doi.org/10.3390/jmmp5020036

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Sum total of downloads: 13




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Abstract: 
Tools are of strategic importance for industrial manufacturing processes. Their behaviour has a great influence on the productivity of the process and the quality of the product. A material saving and efficient technique for processing metallic workpieces is cold forging. One major challenge of this production method is the handling of high contact normal stresses in the tool contact, which can lead to severe tool wear. To investigate promising approaches for understanding wear modelling and wear reduction a demonstrator process based on the first stage of a total five-staged cold forging process for the manufacturing of a bolt anchor is considered in the scope of this research. This work aims at the further development of a numerical wear calculation based on an adapted Archard model in order to be able to realistically predict the tool wear in cold forging processes. Therefore, the material characterization of the used workpiece material as well as an investigation of the worn tool dies takes place to validate a numerical wear calculation model. Furthermore, this research addresses a reduction in wear by identifying critical areas and changing the inlet geometry of the investigated demonstrator tool die. This way, conclusions can be drawn about the wear sensitivity during numerical process design, and particularly critical areas can be geometrically modified in terms of the design. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
License of this version: CC BY 4.0 Unported
Document Type: article
Publishing status: publishedVersion
Issue Date: 2021
Appears in Collections:Fakultät für Maschinenbau

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1 image of flag of United States United States 6 46.15%
2 image of flag of Germany Germany 6 46.15%
3 image of flag of Ireland Ireland 1 7.69%

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