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Journal of the Korean Society of Manufacturing Technology Engineers - Vol. 33 , No. 2

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Journal of the Korean Society of Manufacturing Technology Engineers - Vol. 31, No. 2, pp. 134-139
Abbreviation: J. Korean Soc. Manuf. Technol. Eng.
ISSN: 2508-5107 (Online)
Print publication date 15 Apr 2022
Received 11 Jan 2022 Revised 23 Feb 2022 Accepted 17 Mar 2022
DOI: https://doi.org/10.7735/ksmte.2022.31.2.134
컴퓨터 비전 알고리즘을 기반으로 한 마이크로 드릴의 진직도 오차 측정
이득우^a^{, *} ; 시티 누르파딜라 빈티 자이니^b


Measurement of Axial Straightness Error of Microdrill based on Computer Vision Algorithm
Deug-Woo Lee^a^{, *} ; Siti Nurfadilah Binti Jaini^b
aDepartment of Nano Energy Engineering, Pusan National University
bDepartment of Nano Fusion Technology, Pusan National University
Correspondence to : ^*Tel.: +82-51-510-3129 E-mail address: dwoolee@pusan.ac.kr (Deug-Woo Lee).



Funding Information ▼ Pusan National University

Abstract

Microdrill machining is widely applied in various industries where structural design and material properties of the microdrill play a critical role during the machining. A composite microdrill composed of WC and polycrystalline diamond combines the wear resistance, toughness, and hardness properties of the cutting tool. However, composite microdrills are fabricated through complex processes which make them prone to geometrical errors. Hence, axial straightness error of microdrills was investigated in this study as a geometrical error. A computer vision algorithm was specifically developed for measuring the axial straightness error of the microdrill. Subsequently, the ability of the developed technique to perform precise and accurate measurement of tool geometrical errors was evaluated in this study.


Keywords: Microdrill, Computer vision, Axial straightness error, Measurement system

Acknowledgments

이 연구는 부산대학교 기본연구지원사업(2년)에 의하여 연구되었음.

References


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Deug-Woo Lee

Professor in the Department of Nano Energy Engineering, Pusan National University.

His research interest is Tribology.

E-mail: dwoolee@pusan.ac.kr

Siti Nurfadilah Binti Jaini

Ph.D. student in the Department of Nano Fusion Technology, Pusan National University.

Her research interest is Application of artificial intelligence.

E-mail: nurfadilah249@gmail.com