Detailed Information
Cited 0 time in 
Cited 0 time in 
Cited 0 time in
Metadata Downloads
마이크로 드릴비트 연마 시스템 연삭휠의 마모 진단 연구A Study on the Wear Condition Diagnosis of Grinding Wheel in Micro Drill-bit Grinding System
- Other Titles
- A Study on the Wear Condition Diagnosis of Grinding Wheel in Micro Drill-bit Grinding System
- Issue Date
- Mar-2022
- Publisher
- 한국기계가공학회
- Keywords
- Micro Drillbit Grinding System(드릴비트 연마 시스템); Machine Learning(머신러닝); Grinding Wheel(연삭휠); Wear Diagnostics(마모 진단)
- Citation
- 한국기계가공학회지, v.21, no.3, pp.77 - 85
- Journal Title
- 한국기계가공학회지
- Volume
- 21
- Number
- 3
- Start Page
- 77
- End Page
- 85
- ISSN
- 1598-6721
- Abstract
- In this study, to diagnose the grinding state of a micro drill bit, a sensor attachment location was selectedthrough random vibration analysis of the grinding unit of the micro drill-bit grinding system. In addition, thevibration data generated during the drill bit grinding were collected from the grinding unit for the grindingwheels under the steady and worn conditions, and data feature extraction and dimension reduction wereperformed. The wear of the micro-drill-bit grinding wheel was diagnosed by applying KNN, a machine-learningalgorithm. The classification model showed excellent performance, with an accuracy of 99.2%. The precision,recall and f1-score were higher than 99% in both the steady and wear conditions.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - School of Mechanical System Engineering > 1. Journal Articles
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
Related Researcher
- Hur, Jang Wook
- College of Engineering (School of Mechanical System Engineering)