Effect of Wear on the Vibrating Behaviour of the Tool at Turning CW724R Alloy
Author:
Affiliation:
1. FMT TU Kosice With a Seat in Presov,Slovakia
2. Elkeme Hellenic Research Centre for Metals S. A.,Greece
Funder
Ministry of Education
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9852822/9852497/09852878.pdf?arnumber=9852878
Reference24 articles.
1. Predictive Maintenance: Using Recurrent Neural Networks for Wear Prognosis in Current Signatures of Production Plants
2. Analysis of Relation between Friction and Wear;mishra;International Journal of Mechanical Engineering and Robotics Research,2014
3. Surface Quality Optimization in Turning Operations Using Taguchi Method-A Review;govindan;International Journal of Mechanical Engineering and Robotics Research,2014
4. Tool wear predictability estimation in milling based on multi-sensorial data
5. A new approach to evaluation of the material cutting using the artificial neural networks;pitel;TEM Journal,2019
Cited by 1 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. Effect of Wear on Vibration Amplitude and Chip Shape Characteristics during Machining of Eco-Friendly and Leaded Brass Alloys;Metals;2023-04-23
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