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Ultrasonic Welding of Lithium-Ion Batteries
Editor
Wayne W. Cai
Wayne W. Cai
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ISBN:
9780791861257
No. of Pages:
268
Publisher:
ASME Press
Publication date:
2017

This chapter presents a tool wear monitoring framework for ultrasonic metal welding which has been used for lithium-ion battery manufacturing. Tool wear has a significant impact on joining quality. In addition, tool replacement, including horns and anvils, constitutes an important part of production costs. Therefore, a tool condition monitoring (TCM) system is highly desirable for ultrasonic metal welding. However, it is very challenging to develop a TCM system due to the complexity of tool surface geometry and a lack of thorough understanding on the wear mechanism. Here, we first characterize tool wear progression by comparing surface measurements obtained at different stages of tool wear, and then develop a monitoring algorithm using a quadratic classifier and features that are extracted from space and frequency domains of cross-sectional profiles on tool surfaces. The developed algorithm is validated using tool measurement data from a battery plant.

9.1
Introduction
9.2
Tool Wear Characterization
9.3
Impression Method
9.4
Tool Condition Classification
9.5
Conclusions
References
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