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Effect of Insert Groove Geometry on Chip Breaking Performance

Published online by Cambridge University Press:  19 August 2016

R.-Y. Kuo ,
J.-J. Junz Wang  and
R.-N. Lee
R.-Y. Kuo
Affiliation:
Department of Mechanical EngineeringNational Cheng Kung UniversityTainan, Taiwan
J.-J. Junz Wang*
Affiliation:
Department of Mechanical EngineeringNational Cheng Kung UniversityTainan, Taiwan
R.-N. Lee
Affiliation:
Department of Mechanical EngineeringNational Cheng Kung UniversityTainan, Taiwan
*
*Corresponding author ([email protected])
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Abstract

The insert groove geometry is an important part of turning tool design. In this article, a systematic design approach is presented for the chip breaker design in turning. The chip breaking ability of various groove geometry of a turning insert is investigated. The ratio of chip thickness to chip curl radius is taken as the index of chip breaking performance. Taguchi method is applied to analyze the contribution to chip breaking performance of each geometric parameter. Response surface methodology is then used to construct a predictive model evaluating the effect of turning conditions and groove geometry on chip breaking performance. The result of this study shows that the feed rate significantly affects chip breaking performance, and that insert with larger land angle, higher back wall and smaller groove is more effective in chip breaking. Among the parameters of the insert groove, the width of the groove has the greatest contribution to chip breaking than the others. The simulation results and predictions are validated by turning experiments.

Keywords

TurningInsert geometryChip breaking
Type
Research Article
Information
Journal of Mechanics , Volume 34 , Issue 1 , February 2018 , pp. 67 - 73
Copyright
Copyright © The Society of Theoretical and Applied Mechanics 2018 

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References

1. Nakayama, K., “A study on chip-breaker.” Bulletin of JSME, 5, pp. 142–150 (1962).CrossRefGoogle Scholar
2. Jawahir, I. and Fang, X., “A knowledge-based approach for designing effective grooved chip breakers— 2D and 3D chip flow, chip curl and chip breaking,” The International Journal of Advanced Manufacturing Technology, 10, pp. 225–239 (1995).Google Scholar
3. Rahman, M., Seah, K., Li, X. and Zhang, X., “A three-dimensional model of chip flow, chip curl and chip breaking under the concept of equivalent parameters,” International Journal of Machine Tools and Manufacture, 35, pp. 1015–1031 (1995).CrossRefGoogle Scholar
4. Choi, J. P. and Lee, S. J., “Efficient chip breaker design by predicting the chip breaking performance,” International Journal of Advanced Manufacturing Technology, 17, pp. 489–497 (2001).CrossRefGoogle Scholar
5. Kim, H. G., Sim, J. H. and Kweon, H. J., “Performance evaluation of chip breaker utilizing neural network,” Journal of Materials Processing Technology, 209, pp. 647–656 (2009).Google Scholar
6. Sreekala, P. and Visweswararao, K., “A Methodology for Chip Breaker Design at Low Feed Turning of Alloy Steel using Finite Element Modeling Methods,” International Journal of Mechanical Engineering and Technology, 3, pp. 263–273 (2012).Google Scholar
7. Fang, N., “Influence of the geometrical parameters of the chip groove on chip breaking performance using new-style chip formers”, Journal of Materials Processing Technology, 74, pp. 268–275 (1998).Google Scholar
8. Bagci, E. and Aykut, S., “A study of Taguchi optimization method for identifying optimum surface roughness in CNC face milling of cobalt-based alloy (stellite 6),” The International Journal of Advanced Manufacturing Technology 29.9-10, pp. 940–947 (2006).Google Scholar
9. Thamizhmanii, S., Saparudin, S. and Hasan, S. “Analysis of surface roughness by turning process using Taguchi method,” Journal of Achievements in Materials and Manufacturing Engineering, 20, pp. 503–506 (2007).Google Scholar
10. Krishankant, J. T., Bector, M. and Kumar, R., “Application of Taguchi method for optimizing turning process by the effects of machining parameters,” International Journal of Engineering and Advanced Technology, 2, pp. 263–274 (2012).Google Scholar
11. Singari, R. M. and Vipin, “Optimization of Process Parameters in Turning Operation Using Taguchi Method and Anova: A Review”, International Journal of Advance Research and Innovation, 1, pp. 31–45 (2013).Google Scholar
12. Yoon, H.-S., Wu, R., Lee, T.-M. and Ahn, S.-H., “Geometric optimization of micro drills using Taguchi methods and response surface methodology,” International Journal of Precision Engineering and Manufacturing, 12, pp. 871–875 (2011).Google Scholar
13. Singari, R. M., Vipin and Harshit, “Optimization of Process Parameters in Turning Operation Using Response Surface Methodology: A Review”, International Journal of Emerging Technology and Advanced Engineering, 4, pp. 351–360 (2014).Google Scholar