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Abstrakty
This article presents a wear analysis of die inserts used in the hot forging process of a forked forging (yoke), an element applied in steering systems of passenger vehicles. Studies involved the application of an original reverse scanning method intended for rapid and reliable wear analysis of forging tools (with complicated shape) affording easy assessment without the need to dismount tools from the forging unit. The developed method involves analysis of progressive wear of forging tools based on measurements (scanning) of forgings periodically collected from the process and constitutes a useful tool for measurement and testing. As the authors’ earlier works have demonstrated, the proposed new approach to analysis of tool wear with the application of reverse 3D scanning has proven successful in multiple instances in the case of axially symmetrical objects. The presented results of studies indicate that it is possible to utilize the expanded method to analyze the lifetime of forging tools, including tools with complex geometry. Application of the reverse scanning method allows for continuous and practical monitoring of the condition of forging tools over the course of the forging process and should have a positive impact on improving production output and reducing production costs.
Wydawca
Rocznik
Tom
Strony
225--238
Opis fizyczny
Bibliogr. 37 poz., fig.
Twórcy
autor
- Wrocław University of Science and Technology, Faculty of Mechanical Engineering, Department of Plastic Forming and Metrology, ul. Łukasiewicza 5, 50-371
autor
- Wrocław University of Science and Technology, Faculty of Mechanical Engineering, Department of Plastic Forming and Metrology, ul. Łukasiewicza 5, 50-371
autor
- Wrocław University of Science and Technology, Faculty of Mechanical Engineering, Department of Plastic Forming and Metrology, ul. Łukasiewicza 5, 50-371
Bibliografia
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Uwagi
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017)
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-e1eb969c-8254-44bf-9b03-d95c1becc705