[ Article ]

Journal of the Korean Society of Manufacturing Technology Engineers - Vol. 27, No. 4, pp.346-350

ISSN: 2508-5107 (Online)

Print publication date 15 Aug 2018

Received 22 May 2018 Revised 02 Jul 2018 Accepted 09 Jul 2018

DOI: https://doi.org/10.7735/ksmte.2018.27.4.346

금형강의 하향절삭 시 절삭력 예측 및 실험에 대한 연구

정성택^a ; 김성현^a ; 김현정^a ; 백승엽^a^{, *}

Prediction and Experiments of Cutting Forces in Down Milling of Hardened Mold Steel

Sung Taek Jung^a ; Seong Hyun Kim^a ; Hyun Jeong Kim^a ; Seung Yub Baek^a^{, *}

aDepartment of Mechanical Design Engineering, Induk University, 12, Choansan-ro, Nowon-gu, Seoul 01878, Korea

Correspondence to: ^*Tel.: +82-2-950-7525 Fax: +82-2-950-7539 E-mail address: sybaek@induk.ac.kr (Seung Yub Beak).

Abstract

The vertical computer numerical control (CNC) milling machine is used in various industries and exhibits different proficiencies for different workers. Therefore, many companies have required the automation of the vertical milling machine to reduce human error. In this study, five cutting conditions were selected to predict the cutting force using the design of experiment, and the mechanical property of hardened mold materials was examined by a cutting experiment and FEM simulation The results show that for each cutting condition, the simulation value and experimental cutting force value are different; however, the differences have similar tendencies. In addition, the cause of deviation was analyzed to be friction and the mechanical property. In this study, we could examine the material property by simulation and experiment of the cutting force.

Keywords:

Cutting force, Finite element method (FEM), Hardened mold steel, Down milling, Prediction

Acknowledgments

본 논문은 기계산업핵심기술개발사업 과제번호(10060188) 연구비 지원으로 진행되었습니다. 이에 감사를 드립니다.

References

Rao, B., Shin, Y. C., 2001, Analysis on High-Speed Face-ming of 7075-T6 Aluminum Using Carbide and Diamond Cutters, International Journal of Machine Tools and Manufacture, 41:12 1763-1781.
Li, H., Zeng, H., Chen. X., 2006, An Experimental Study of Tool Wear and Cutting Force Variation in the end Milling of Inconel 718 with Coated Carbide Inserts, Journal of Materials Processing Technology, 180:12 296-304.
Attanasio, A., Cerettiet, E., Fiorentino, A., Cappellini, C., Giardini, C., 2010, Investigation and FEM-based Simulation of Tool Wear in Turning Operations with Uncoated Carbide Tools, Wear, 269:5-6 334-350.
Byrne, G., Dornfeld, D., Inasaki, I., Ketteler, G., König, W., Teti, R., 1995, Tool Condition Monitoring (TCM) the Status of Research and Industrial Application, CIRP Annals-Manufacturing Technology, 44:2 541-567.
Özel, T., 2003, Modeling of Hard Part Machining: Effect of Insert Edge Preparation in CBN Cutting Tools, Journal of Materials Processing Technology, 141:2 284-293.
Fallböhmer, P., Rodrı́guez, C., A., Özel, T., Altan, T., 2003, High-Speed Machining of Cast Iron and Alloy Steels for Die and Mold Manufacturing, Journal of Materials Processing Technology, 98:1 104-115.
Hanasaki, S., Fujiwara, J., Touge, M., Hasegawa, Y., Uehara, K., 1990, Tool Wear of Coated Tools When Machining a High Nickel Alloy, CIRP Annals-Manufacturing Technology, 39:1 77-80.
De Oliveira Junior, C. A., Diniz, A. E., Bertazzoli, R., 2014, Correlating Tool Wear, Surface Roughness and Corrosion Resistance in the Turning Process of Super Duplex Stainless Steel, Journal of the Brazilian Society of Mechanical Sciences and Engineering, 36:1 775-785.
Grzesik, W., Rech, J., Żak, K., 2014, Determination of Friction in Metal Cutting with Tool Wear and Flank Face Effects, Wear, 317:1 8-16.
Nouari, M., Makich, H., 2014, On the Physics of Machining Titanium Alloys: Interactions Between Cutting Parameters, Microstructure and Tool Wear, Metals, 4:3 335-358.
Huang, Y. C., 2002, Abductive Reasoning Network Based Diagnosis System for Fault Section Estimation in Power Systems, IEEE Transactions on Power Delivery, 17:2 369-374.
Uematsu, T., Mohri, N., 1986, Prediction and Detection of Cutting Tool Failure by modified group method of data handling, International Journal of Machine Tool Design and Research, 26:1 69-80.
Third Wave Advant Edge., 2014, User's Manual, Version 6.1, Minneapolis, USA.
Ku, M. S., Kim, J. S., Kim, P. H., Park, J. H., Kang, I. S., 2011 Evaluation of Machining Characteristics in Micro-scale Milling Process by Finite Element Analysis and Machining Experiment, Journal of the Korean Society of Manufacturing Technology Engineers, 20:1 101-107.
Beak, S. Y., Kong, J. S., Jung, S. T., Kim, S. H., Jin, D. S., 2017, A Study on the Simulation for Prediction of Cutting Force in Milling Process, Transactions of The Korean Society of Mechanical Engineers A, 41:5 353-359.