Tool wear rate prediction in ultrasonic vibration-assisted milling
Author:
Affiliation:
1. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA;
2. Metal Industries Research and Development Centre (MIRDC), Kaohsiung, Taiwan
Publisher
Informa UK Limited
Subject
Industrial and Manufacturing Engineering,Mechanical Engineering,General Materials Science
Link
https://www.tandfonline.com/doi/pdf/10.1080/10910344.2020.1752240
Reference32 articles.
1. A Fundamental Study of Vibration Assisted Machining
2. Identification of plasticity constants from orthogonal cutting and inverse analysis
3. State-of-the-art review on vibration-assisted milling: principle, system design, and application
4. Inverse Determination of Constitutive Equations and Cutting Force Modelling for Complex Tools Using Oxley's Predictive Machining Theory
5. Analytical prediction of temperature in laser-assisted milling with laser preheating and machining effects
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