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한국생산제조학회 학술지 영문 홈페이지
[ Papers ]
Journal of the Korean Society of Manufacturing Technology Engineers - Vol. 31, No. 1, pp.48-54
ISSN: 2508-5107 (Online)
Print publication date 15 Feb 2022
Received 07 Dec 2021 Revised 04 Jan 2022 Accepted 05 Jan 2022
DOI: https://doi.org/10.7735/ksmte.2022.31.1.48

재제조를 위한 노후 선반 스핀들의 열적 안정화 설계에 관한 연구

유성원a ; 이정학a ; 이춘만b, * ; 김동현c, *
A Study on the Thermally Stable Design of a Worn Lathe Spindle for Remanufacturing
Seong-Won Yooa ; Jeong-Hak Leea ; Choon-Man Leeb, * ; Dong-Hyeon Kimc, *
aSchool of the Smart Manufacturing Engineering, Changwon National University
bDepartment of Mechanical Engineering, Changwon National University
cMechatronics Research Center, Changwon National University

Correspondence to: *b Tel.:+82-55-213-3622 E-mail address: cmlee@changwon.ac.kr (Choon-Man Lee).*c Tel.:+82-55-213-2896 E-mail address: dkim@changwon.ac.kr (Dong-Hyeon Kim). * These authors contributed equally to this work.

Abstract

Decrepit lathe can be functionally upgraded to like-new or with enhanced performance through remanufacturing. Remanufacturing can reduce resource consumption and waste generation. Machining accuracy is often affected by thermal errors, and spindles are one of the main sources of thermal errors in machine tools. In this study, an optimal design was developed to thermally stabilize the spindle of a machine tool to be remanufactured. The spindle bearing position, diameter of the shaft, and the length of the shaft were selected as design variables, and the object functions of the optimal design were the thermal deformation and the temperature of the spindle. Experiments were performed using computer aided design. As a result, the temperature and thermal deformation of the optimized model were decreased compared with the initial model. The optimized model can be applied to improve the accuracy of a spindle on a decrepit lathe after remanufacturing.

Keywords:

Remanufacturing, Lathe, Thermal analysis, Response surface methodology, Spindle

Acknowledgments

본 연구는 정부(산업통상자원부)와 한국에너지기술평가원의 지원을 받아 수행한 연구임(20206310100040, 스마트 팩토리에 직접 투입 가능한 IoT 기반 노후 선반의 수명 연장을 위한 재제조 기술개발).

References

  • Abdullah, Z. T., Sheng, G. S., Yun, S. B., 2018, Conventional Milling Machine into CNC Machine Tool Remanufacturing, Eco-comparison Ratio Based Analysis, Curr. J. Appl. Sci. Technol., 28:6 1-18. [https://doi.org/10.9734/CJAST/2018/42898]
  • Bryan, J., 1990, International Status of Thermal Error Research, CIRP Ann-Manuf. Technol., 39:2 645-656. [https://doi.org/10.1016/S0007-8506(07)63001-7]
  • Ramesh, R., Mannan, M. A., Poo, A. N., 2000, Error compensation in machine tools - a review: Part II: thermal errors, Int. J. Mach. Tools Manuf., 40:9 1257-1284. [https://doi.org/10.1016/S0890-6955(00)00010-9]
  • Li, X., 2001, Real-Time Prediction of Workpiece Errors for a CNC Turning Centre, Part 2. Modelling and Estimation of Thermally Induced Errors, Int. J. Adv. Manuf. Technol., 17 654-658. [https://doi.org/10.1007/s001700170129]
  • Guo, Q., Yang, J., Wu, H., 2010, Application of ACO-BPN to Thermal Error Modeling of NC Machine Tool, Int. J. Adv. Manuf. Technol., 50 667-675. [https://doi.org/10.1007/s00170-010-2520-y]
  • Zhang, Y., Yang, J., Xiang, S., 2013, Volumetric Error and Compensation Considering Thermal Effect on Five-axis Machine Tools, Proc. Inst. Mech. Eng. Part B-J. Eng. Manuf., 227:5 1102-1115. [https://doi.org/10.1177/0954406212456475]
  • Postlethwaite, S. R., Allen, J. P., Ford, D. G., 1999, Machine Tool Thermal Error Reduction—An Appraisal, Proc. Inst. Mech. Eng. Part B-J. Eng. Manuf., 213:1 1-9. [https://doi.org/10.1177/095440549921300101]
  • Jedrzejewski, J., 1988, Effect of the Thermal Contact Resistance on Thermal Behaviour of the Spindle Radial Bearings, Int. J. Mach. Tools Manuf., 28:4 409-416. [https://doi.org/10.1016/0890-6955(88)90054-5]
  • Xia, C., Fu, J., Lai, J., Yao, X., Chen, Z., 2015, Conjugate Heat Transfer in Fractal Tree-like Channels Network Heat Sink for High Speed Motorized Spindle Cooling, Appl. Therm. Eng., 90 1032-1042. [https://doi.org/10.1016/j.applthermaleng.2015.07.024]
  • Ge, Z., Ding, X., 2018, Design of Thermal Error Control System for High-speed Motorized Spindle based on Thermal Contraction of CFRP, Int. J. Mach. Tools Manuf., 125 99-111. [https://doi.org/10.1016/j.ijmachtools.2017.11.002]
  • Mori, M., Mizuguchi, H., Fujishima, M., Ido, Y., Mingkai, N., Konishi, K., 2009, Design Optimization and Development of CNC Lathe Headstock to Minimize Thermal Deformation, CIRP Ann-Manuf. Technol., 58:1 331-334. [https://doi.org/10.1016/j.cirp.2009.03.033]
  • Liu, H., Zhang, Y., Li, C., Gu, J., 2021, Reliability Optimization Design of Deformation of CNC Lathe Spindle Considering Thermal Effect, Proc. Inst. Mech. Eng. Part O-J. Risk Reliab., 235:5 1-14. [https://doi.org/10.1177/1748006X21995380]
  • Kim, S. M., Lee, S. K., 2005, Spindle Housing Design Parameter Optimization Considering Thermo-Elastic Behaviour, Int. J. Adv. Manuf. Technol., 25 1061-1070. [https://doi.org/10.1007/s00170-003-1958-6]
  • Kim, D. H., Lee, C. M., 2010, A Study on the Thermal Stabilization Design of a New Concept Compact Machining Center, J. Korean Soc. Precis. Eng., 27:12 119-124.
  • Palmgren, A., 1959, Ball and Roller Bearing Engineering, SKF industries, Philadelphia.
  • Bossmanns, B., Tu, J. F., 1999, A Thermal Model for High Speed Motorized Spindles, Int. J. Mach. Tools Manuf., 39:9 1345-1366. [https://doi.org/10.1016/S0890-6955(99)00005-X]
  • Myers, R. H., Montgomery, D. C., Anderson-Cook, C. M., 1995, Response Surface Methodology: Process and Product Optimization Using Designed Experiments, Wiley, Toronto.
  • Cho, I. H., Lee, N. H., Chang, S. W., An, S. W., Yonn, Y. H., Zoh, K. D., 2006, Analysis of Characteristics and Optimization of Photo-degradation condition of Reactive Orange 16 Using a Box-Behnken Method, J. Korean Soc. Environ. Eng., 28:9 917-925.
Seong-Won Yoo

Graduate student in the School of Smart Manufacturing Engineering, Changwon National University. His research interests are additive manufacturing of bimetal and the hybrid manufacturing technologies.

E-mail: yoosw9573@changwon.ac.kr

Jeong-Hak Lee

Graduate student in the School of Smart Manufacturing Engineering, Changwon National University. His research interests are additive manufacturing and the hybrid manufacturing technologies.

E-mail: h1boy@naver.com

Choon-Man Lee

Professor in the Department of Mechanical Engineering, Changwon National University. His research interests are Machine Tools, Laser-Assisted Machining, Hybrid Manufacturing Processes, and Additive Manufacturing.

E-mail: cmlee@changwon.ac.kr

Dong-Hyeon Kim

Research Professor in the Mechatronics Research Center, Changwon National University. His research interests are Precision Machining, Machine Tools, Hybrid/Smart Manufacturing, Digital Twin, and Metal Additive Manufacturing.

E-mail: dkim@changwon.ac.kr