| About this Abstract |
| Meeting |
2025 TMS Annual Meeting & Exhibition
|
| Symposium
|
Characterization of Minerals, Metals and Materials 2025: In-Situ Characterization Techniques
|
| Presentation Title |
Novel Acoustic Characterization Techniques for Lithium-Ion Battery Materials |
| Author(s) |
Antanas Daugela, Jurgis Daugela, Maria L. Daugela |
| On-Site Speaker (Planned) |
Antanas Daugela |
| Abstract Scope |
Nanoindentation assisted acoustic monitoring has been attracting the attention since the inception of nanomechanical test instruments. The RMS or integrated acoustic wave energy values proved that acoustic wave properties correlate well with the contact materials‘ phenomena such as yield point initiation for W(100), phase transformations on Nitinol. A nanofatigue phenomenon can be observed on the ultrasonically excited steel waveguide by examining the resulting nanoindentation loading-unloading curves. However, the true potential of the acoustic characterization method is unleashed in a synergy of joint time-frequency domain representation and machine learning (ML). Passive and active acoustic monitoring can be conducted during nanoindentation with the utrasonic tip. Significant changes in nanohardness and elastic modulus on the cathods of Lithium-ion batteries has been reported after recharges. Therefore, the status of Lithium-ion baterry components such as uncharged/charged can be characterized by nanonofatigue cycles induced by the ultrasonic nanoindentation tip and acoustic signatures classified by the ML. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Characterization, Mechanical Properties, Machine Learning |