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Makale detayı · 2025 · article

A Review: Literature Summary on the Relationship Between Cutting Parameters and Machinability in Turning Operations

Dergi Doğu Fen Bilimleri Dergisi
ISSN2667-6958
YÖKSİS OpenAlex Açık erişim · bronze
Yıl2025
Atıf3OpenAlex
Yüzdelik%73,7
FWCI0,961,00 = dünya ortalaması

Veri kaynağı ayrımı

  • YÖKSİSYÖKSİS makale kaydı
  • YÖKSİS dergi adıDoğu Fen Bilimleri Dergisi
  • OpenAlexOpenAlex zenginleştirmesi (özet, atıf, konular)
  • Semantic Scholaratıf sayısı (OpenAlex ile birleştirilmez)

Özet

OpenAlex İngilizce

This study presents a comprehensive evaluation of machinability in turning operations by reviewing and synthesizing the literature based on the parameters of cutting forces, tool wear, and surface roughness. Previous studies clearly present the significance of cutting parameters. While an increase in speed mainly reduces the forces and roughness, increases in feed and depth tend to increase cutting forces, temperature, and wear by enlarging the contact area. Tool wear directly affects the surface integrity and process stability through flank/crater wear and BUE formation. In particular, austenitic stainless steels, titanium and nickel-based superalloys, and particle-reinforced composites are sensitive to the cutting mechanism, tool-material interaction, and speed. Environmentally sustainable cooling-lubrication strategies (MQL, plant-based oils, cryogenic/CO₂-based solutions) reduce wear by reducing friction and temperature, improving the surface quality. In the case of ultrasonic turning, similar benefits are provided by reducing instantaneous contact and average forces. In the examined studies, dynamometers, scanning electron microscopes, surface roughness measurement instruments, and various software were used. Additionally, optimum parameter windows were reported based on Taguchi/ANOVA/RSM methods. Consequently, the combination of appropriate parameter selection and environmentally friendly cooling and lubrication and/or auxiliary processes extends tool life, improves surface integrity, and increases energy and cost efficiency. This approach offers a repeatable and industrially applicable roadmap, even for materials that are difficult to machine.

Konular

Atıflar

OpenAlex cited_by_count. WoS veya Scopus atıf sayısı değildir; o kaynaklar için ayrı kolon yoktur.

3atıfOpenAlex · cited_by_count (önbellek / veritabanı)

Yerel katalogda bu makaleye atıf yapan 2 yayın (OpenAlex referans eşleşmesi; tam dünya listesi değildir).

  1. 2026 A machine learning based approach for investigation of dry and MQL environments while turning stainless steelsAtıf 0 · OpenAlex
  2. 2026 Effect of precipitate-controlled microstructures on machinability of continuously cooled low-carbon high-strength low-alloy steelAtıf 0 · OpenAlex

Yazarlar

6
  1. YUNUS KAPLAN 1
  2. RÜSTEM BİNALİ 2
  3. TAYFUN ÇETİN 3
  4. MUHAMMET ENVER GÖKDEMİR 4
  5. Saeed Yaghoubi 5
  6. MEHMET TOPUZ VAN YÜZÜNCÜ YIL ÜNİVERSİTESİ 6