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Durability of Forging Tools Used in the Hot Closed Die Forging Process-A Review.
Grzegorz Ficak1,2, Aneta Łukaszek-Sołek2, Marek Hawryluk3
1GK FORGE, Przemysłowa 10 Street, 43-440 Goleszów, Poland.
Materials (Basel, Switzerland)
|November 27, 2024
Summary
This study classifies forging tool wear mechanisms and discusses methods to enhance die durability. It explores tool regeneration techniques and numerical wear prediction using models like Archard and artificial neural networks.
Area of Science:
- Materials Science
- Mechanical Engineering
- Tribology
Background:
- Forging tools, particularly dies, are susceptible to wear, impacting their service life and operational efficiency.
- Understanding wear mechanisms is crucial for developing strategies to improve tool durability in hot working applications.
Purpose of the Study:
- To classify wear mechanisms affecting forging tools.
- To review methods for enhancing die durability, including material selection, heat treatment, surface engineering, and lubrication.
- To present tool regeneration techniques and discuss numerical wear prediction models.
Main Methods:
- Classification of wear mechanisms.
- Review of durability enhancement strategies (material selection, heat treatment, surface engineering, lubrication).
- Analysis of tool regeneration methods (re-profiling, laser regeneration).
- Discussion of numerical wear prediction models (Archard model, artificial neural networks).
Main Results:
- Identified key wear mechanisms in forging tools.
- Detailed various approaches to extend die lifespan.
- Presented and compared re-profiling and laser regeneration techniques.
- Evaluated the Archard model and artificial neural networks for wear prediction.
Conclusions:
- Effective die durability relies on a combination of material choice, processing, surface treatments, and maintenance.
- Accurate wear prediction is achievable through established models and advanced computational methods like ANNs.
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