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Journal of the Korean Society of Manufacturing Technology Engineers - Vol. 32 , No. 4

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Journal of the Korean Society of Manufacturing Technology Engineers - Vol. 31, No. 4, pp. 225-232
Abbreviation: J. Korean Soc. Manuf. Technol. Eng.
ISSN: 2508-5107 (Online)
Print publication date 15 Aug 2022
Received 06 Jun 2022 Revised 28 Jul 2022 Accepted 29 Jul 2022
DOI: https://doi.org/10.7735/ksmte.2022.31.4.225
CNC 공작기계의 고정밀 윤곽가공을 위한 가변 윤곽오차 모델
정성윤^a ; 강정모^a ; 지성철^a^{, *}

Variable Contour Error Model for High-Precision Contour Machining of CNC Machine Tools
Sungyoun Jung^a ; Jeongmo Kang^a ; Sungchul Jee^a^{, *}
aDepartment of Mechanical Engineering, Dankook University
Correspondence to : ^*Tel.: +82-31-8005-3504 E-mail address: scjee@dku.edu (Sungchul Jee).



Funding Information ▼ Ministry of Trade, Industry and Energy Korea Evaluation Institute of Industrial Technology 20012834

Abstract

Studies have been conducted on various contour error models applied to cross-coupling control systems, which are essential for achieving contour accuracies in multi-axis CNC systems. Most of these studies examine contour error models for straight, corner, and curved tool paths. However, there are limitations to applying these existing works in multi-axis tool paths because the straight, corner, and curved tool paths may coexist. Therefore, this paper presents a variable contour error model for cross-coupling control systems to achieve high-precision contour machining. The proposed variable contour error model allows real-time changes to the contour error model based on the tool path curvature. The proposed model was evaluated by implementing a cross-coupling control system on a PC-based three-axis CNC testbed. From the experimental results, the usefulness of the proposed model was confirmed in terms of the contour accuracy.


Keywords: CNC machine tool, High-precision machining, Cross-coupling controller, Variable contour error model, Contouring accuracy

Acknowledgments

이 연구는 2021년도 산업통산자원부 및 한국산업기술평가관리원(KEIT) 연구비 지원에 의한 연구임(20012834).

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Sungyoun Jung

Master’s degree student in the Department of Mechanical Engineering, Dankook University. His research interest is CNC machine tool systems and artificial intelligence.

E-mail: sungyj@dankook.ac.kr

Jeongmo Kang

Ph.D. candidate in the Department of Mechanical Engineering, Dankook University. His research interest is CNC machine tool systems and CAD/CAM.

E-mail: jmkang@dankook.ac.kr

Sungchul Jee

Professor in the Department of Mechanical Engineering, Dankook University. His research interest is CNC machine tool systems and CAM.

E-mail: scjee@dku.edu