Abstract
Using state-of-the-art in-situ characterization via high-speed optical microscopy and full-field digital image correlation analysis with nanometer resolution, Particle Image Velocimetry (PIV) as well as high bandwidth time-correlated process force analysis, this paper provides new quantitative insights into the complex dynamic variability present in the machining of Ti-6Al4V alloy, particularly at low uncut chip thicknesses where microstructural effects are most influential. Dynamically varying loads were analyzed across a wide range of uncut chip thicknesses (from 6 µm to 150 µm) and typical industrial cutting speeds for Ti-6Al4V alloy (30–120 m/min). The results reveal three distinct regimes of uncut chip thickness: from microstructural size effects at low thicknesses to quasi-steady state chip formation at intermediate uncut chip thickness to continuum-scale adiabatic shear banding at higher uncut chip thicknesses. Each regime is characterized by significantly different dominant mechanisms of chip formation, leading to variable sub-surface elastic and plastic loading with varying frequency/time and characteristic length scales. To minimize variability in thermomechanical loading and improve surface integrity in the cutting of Ti-6Al4V alloy at speeds between 30 and 120 m/min, our findings indicate an optimal uncut chip thickness range of 20–60 µm. These findings advance machining practices for Ti-6Al4V alloy, contributing to a new process optimization paradigm based on minimizing process and material-specific load variability to maximize as-machined component quality across multiple length scales.
Original language | English |
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Article number | 118869 |
Journal | Journal of Materials Processing Technology |
Volume | 340 |
DOIs | |
State | Published - Jun 2025 |
Bibliographical note
Publisher Copyright:© 2025 Elsevier B.V.
Funding
This work was supported by the U.S. National Science Foundation , grant number 2143806 , project title \u201CCAREER: Thermomechanical Response and Fatigue Performance of Surface Layers Engineered by Finish Machining: In-situ Characterization and Digital Process Twin\u201D.
Funders | Funder number |
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U.S. Department of Energy Chinese Academy of Sciences Guangzhou Municipal Science and Technology Project Oak Ridge National Laboratory Extreme Science and Engineering Discovery Environment National Science Foundation National Energy Research Scientific Computing Center National Natural Science Foundation of China | 2143806 |
U.S. Department of Energy Chinese Academy of Sciences Guangzhou Municipal Science and Technology Project Oak Ridge National Laboratory Extreme Science and Engineering Discovery Environment National Science Foundation National Energy Research Scientific Computing Center National Natural Science Foundation of China |
Keywords
- In-situ characterization
- Predictive modeling
- Process signatures
- Surface integrity
ASJC Scopus subject areas
- Ceramics and Composites
- Computer Science Applications
- Metals and Alloys
- Industrial and Manufacturing Engineering