Machine learning models and machinability analysis for comparison of various cooling and lubricating mediums during milling of Hardox 400 steel-Reference-Cited by-同舟云学术

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Machine learning models and machinability analysis for comparison of various cooling and lubricating mediums during milling of Hardox 400 steel

Published:2024-10 Issue: Volume:198 Page:109860
ISSN:0301-679X
Container-title:Tribology International
language:en
Short-container-title:Tribology International

Author:

Aslan Abdullah

Publisher

Elsevier BV

Reference59 articles.

1. Machining induced tribological investigations in sustainable milling of Hardox 500 steel: a new approach of measurement science;Kuntoglu;Measurement,2022

2. Surface roughness analysis in milling machining using design of experiment;Moayyedian;SN Appl Sci,2020

3. Evaluation of material properties and abrasive resistance of tantalum carbide-based hardox steel for construction purpose;Senthil Kumar,2020

4. Comparative analysis of the influence of chemical composition and microstructure on the abrasive wear of high-strength steels;Zemlik;Materials,2022

5. Evaluation of the role of dry and MQL regimes on machining and sustainability index of Strenx 900 Steel;Aslan;Lubricants,2022

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