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Piezoelectric vibration sensor for real-time tool wear detection

Semester: Fall 2023

Presentation description

Tool-wear is a serious problem in manufacturing industries causing negative effects such as decreased accuracy of products, decreased tool life, and increased production cost. However, current tool-wear monitoring methods require expensive and complex instruments. This research focuses on creating a relationship between tool wear and monitoring vibration signals using a vibration sensor based on piezoelectric nanofibers and developing a simpler and cheaper tool-wear monitoring method.

Presenter Name: Jeewon Kim

Presentation Type: Poster
Presentation Format: Virtual
Presentation #24
College: Engineering
School / Department: Mechanical Engineering
Research Mentor: Jiyoung Chang