Makale detayı · 2025 · article
Response Surface Method Optimization of Hard Machining with Cryogenically Treated Cutting Tools: Surface Roughness, Cutting Force, Tool Wear, Rietveld Analysis, and Metallurgical Properties
Veri kaynağı ayrımı
- YÖKSİSYÖKSİS makale kaydı
- YÖKSİS dergi adısteel research international
- Katalog eşleşmesi (ISSN)Steel Research International
- OpenAlexOpenAlex zenginleştirmesi (özet, atıf, konular)
- Semantic Scholaratıf sayısı (OpenAlex ile birleştirilmez)
Özet
The study consists of two stages: machinability tests and metallographic examinations. In the first stage of the study, response surface methodology (RSM) optimization was performed for the main‐cutting‐force (Fc) and average surface roughness (Ra) values obtained as a result of turning tests. In the second stage, the wear performance of cutting tool tips with and without deep cryogenic treatment was explained with the support of SEM images, EDX, XRD, and microhardness analyses. As a result of ANOVA analysis, it was found that the most effective parameter on Fc was the feed rate, with 78.89%. As a result of RSM‐optimization, the lowest Fc value was found to be 339.99 N. The most effective parameter on Ra was found to be the feed rate at 69.38%. In terms of tool life, 15% and 11% improvements were achieved in uncoated and coated carbide cutting tools, respectively. As a result of Rieltveld's analysis, it was determined that cryogenic treatment increased the carbide percentages in the tools. As a result of microhardness measurements, it was observed that the hardness of uncoated and coated carbide tools increased by 4.6% and 5.15%, respectively, after cryogenic treatment.
Konular
Atıflar
OpenAlex cited_by_count. WoS veya Scopus atıf sayısı değildir; o kaynaklar için ayrı kolon yoktur.
17atıfOpenAlex · cited_by_count (önbellek / veritabanı)
Yerel katalogda bu makaleye atıf yapan 4 yayın (OpenAlex referans eşleşmesi; tam dünya listesi değildir).
- 2025 Improving machinability of Ni-based Monel 400 superalloy: a novel thermal-assisted drilling method based induction heatingAtıf 4 · OpenAlex
- 2026 OPTIMIZATION OF TOOL PATH STRATEGIES IN POCKET MILLING OF AA7075-T6 ALLOY BY STATISTICAL AND MULTI-CRITERIA APPROACHESAtıf 0 · OpenAlex
- 2026 OPTIMIZATION OF TOOL PATH STRATEGIES IN POCKET MILLING OF AA7075-T6 ALLOY BY STATISTICAL AND MULTI-CRITERIA APPROACHESAtıf 0 · OpenAlex
- 2026 Predicting the effect of different sanding parameters on the surface roughness of field maple (Acer campestre L.) wood using machine learningAtıf 0 · OpenAlex