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http://dx.doi.org/10.5228/KSTP.2021.30.4.172

A Study on Improving the Precision of Quantitative Prediction of Cold Forging Die Life Cycle Through Real Time Forging Load Measurement  

Seo, Y.H. (Korea Institute of Industrial Technology)
Publication Information
Transactions of Materials Processing / v.30, no.4, 2021 , pp. 172-178 More about this Journal
Abstract
The cold forging process induces material deformation in an enclosed space, generating a very high forging load. Therefore, it is mainly designed as a multi-stage process, and fatigue failure occurs in forging die due to cyclic load. Studies have been conducted previously to quantitatively predict the fatigue limit of cold forging dies, however, there was a limit to field application due to the large error range and the need for expert intervention. To solve this problem, we conducted a study on the introduction of a real-time forging load measurement technology and an automated system for quantitative prediction of die life cycle. As a result, it was possible to reduce the error range of the quantitative prediction of die life cycle to within ±7%, and it became possible to use the die life cycle calculation algorithm into an automated system.
Keywords
Cold Forging; Die life cycle; Fatigue Diagram; Real Time Measurement; Forging Load;
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