[ Technical Papers ]

Journal of the Korean Society of Manufacturing Technology Engineers - Vol. 29, No. 5, pp.400-405

ISSN: 2508-5107 (Online)

Print publication date 15 Oct 2020

Received 11 Aug 2020 Revised 05 Oct 2020 Accepted 12 Oct 2020

DOI: https://doi.org/10.7735/ksmte.2020.29.5.400

절삭유 유입 방지를 위한 내부 급유형 고속 스핀들 메커니즘 연구

방현철^a ; 장민규^a ; 김현진^a ; 김진현^a^{, *}

Internal-Oil-Feed-type High-Speed Spindle Mechanism to Prevent Cutting Oil Flow

Hyeoncheol Bang^a ; Mingyu Jang^a ; Hyeonjin Kim^a ; Jinhyun Kim^a^{, *}

aDepartment of Mechanical Engineering, Seoultech

Correspondence to: ^*Tel.: +82-2-970-6318 E-mail address: jinhyun@seoultech.ac.kr (Jinhyun Kim).

Abstract

The use of cutting oil is essential during the machining of precision parts by grinding for improving the quality of the machined surface and for cooling tools used. To this end, an internal-oil-feed-type high-speed spindle, which obtains rotational power using cutting oil, is widely employed. However, repeatedly used cutting oil contains small metal fragments, which reduces the bearing durability inside the spindle. This study investigated a new mechanism to improve the bearing life of internal-oil-feed-type high-speed spindles. Two designs were considered: The first uses a magnetic coupling principle to deliver power in a contactless manner, the second is a multiple bearing module structure that mitigates the limitation of contact-rubber-seal-type bearings. Furthermore, we analyzed the features and limitations of the proposed mechanism by fabricating actual models with the two designs.

Keywords:

Cutting oil, Internal oil feed type high speed spindle, Magnetic coupling, Contact rubbers seal type bearing, Multiple bearing module

Acknowledgments

이 논문은 2020년도 정부(산업통상자원부)의 재원으로 한국산업기술진흥원의 지원을 받아 수행된 연구임(P0002092, 2020년 산업혁신인재성장지원사업).

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Hyeoncheol Bang

Ph.D. candidate in the Department of Mechanical Engineering, Seoul National University of Science and Technology.His research interest is Machine Learning and Robotics.

E-mail: banghc@seoultech.ac.kr

Mingyu Jang

Ph.D. candidate in the Department of Mechanical Engineering, Seoul National University of Science and Technology.His research interest is Machine Learning and Robotics.

E-mail: 12jmg1234@gmail.com

Hyeonjin Kim

Master’s course in the Department of Mechanical Engineering, Seoul National University of Science and Technology.Her research interest is Machine Learning and Robotics.

E-mail: hyeonjin@seoultech.ac.kr

Jinhyun Kim

Professor in the Department of Mechanical Engineering, Seoul National University of Science and Technology.His research interest is Control and Robotics.

E-mail: jinhyun@seoultech.ac.kr