Impacts of flank wear and cooling strategies on evolutions of built-up edges, diffusion wear and cutting forces in Ti6Al4V machining-Reference-Cited by-同舟云学术

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Impacts of flank wear and cooling strategies on evolutions of built-up edges, diffusion wear and cutting forces in Ti6Al4V machining

Published:2022-07 Issue: Volume:171 Page:107537
ISSN:0301-679X
Container-title:Tribology International
language:en
Short-container-title:Tribology International

Author:

Liu Hongguang,Ayed Yessine,Birembaux Hélène,Rossi Frédéric,Poulachon Gérard

Funder

Association des Instituts Carnot

Publisher

Elsevier BV

Subject

Surfaces, Coatings and Films,Surfaces and Interfaces,Mechanical Engineering,Mechanics of Materials

Reference45 articles.

1. A review on high-speed machining of titanium alloys;Rahman;JSME Int J Ser C,2006

2. Tool wear in titanium machining;Hartung;CIRP Ann,1982

3. Machinability of titanium alloys (Ti6Al4V and Ti555.3);Arrazola;J Mater Process Technol,2009

4. A comprehensive study on the effects of tool wear on surface roughness, dimensional integrity and residual stress in turning IN718 hard-to-machine alloy;Akhavan Niaki;J Manuf Process,2017

5. Comprehensive analysis of tool wear, tool life, surface roughness, costing and carbon emissions in turning Ti–6Al–4V titanium alloy: cryogenic versus wet machining;Agrawal;Tribol Int,2021

Cited by 19 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A review of the use of cryogenic coolant during machining titanium alloys;Sustainable Materials and Technologies;2024-07

2. Design and application of B-containing hard coatings for high-speed dry cutting against Ti-alloys- A review;Surface Science and Technology;2024-06-21

3. Cyber–Physical Systems for High-Performance Machining of Difficult to Cut Materials in I5.0 Era—A Review;Sensors;2024-04-05

4. Optimization of Surface Roughness for Titanium Alloy Based on Multi- strategy Fusion Snake Algorithm;2024-01-08

5. Prediction and classification of tool wear and its state in sustainable machining of Bohler steel with different machine learning models;Measurement;2023-12

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