Abstract
Influence of geometric and cutting parameters of cemented carbide cutting tool on reliability of cutting tool has become more and more mature, yet influence of its physical and material parameters on reliability is still blank. In view of this, cutting test and fatigue crack growth test of YT05 cemented carbide cutting tool are conducted to measure such data as the original crack size, growth size, times of impact loading, number and time of cutting tool in failure, and stress distribution of cutting tool is also obtained by simulating cutting process of tools. Mathematical models on dynamic reliability and dynamic reliability sensitivity of cutting tool are derived respectively by taking machining time and times of impact loading into account, thus change rules of dynamic reliability sensitivity to physical and material parameters can be obtained. Theoretical and experimental results show that sensitive degree on each parameter of tools increases gradually with the increase of machining time and times of impact loading, especially for parameters such as fracture toughness, shape parameter, and cutting stress. This proposed model solves such problems as how to determine the most sensitive parameter and influence degree of physical parameters and material parameters to reliability, which is sensitivity, and can provide theoretical foundation for improving reliability of cutting tool system.
Similar content being viewed by others
References
LIU Z Q, LI Z Q, AI X. Study on the life distribution of cemented carbide tools[J]. Cemented Carbide, 1995, 12(1): 7–10.
LI Z Q, DENG J X, HUANG C Z. A tool reliability model under combined effects of s several failure mechanisms[J]. Journal of Shandong University, 1995, 25(3): 201–206.
YANG J R, YU T. Study on the influence of tool geometric parameters on tool reliability[J]. Coalmine Machinery, 2003 (7): 17–19.
FAN N, GAO Z H, AI X. Ceramic cutting tool life by fracture and its reliability[J]. China Mechanical Engineering, 2004, 15(23):2 134–2 137.
LI Q, CAO X J, XIU Z M. Cutting performance of Al2O3/Ti(C,N)-Ni-Ti ceramic cutting[J]. Journal of Northeastern University, 2013, 34(2): 214–217.
JIA P, ZHOU M. Tool wear and its effect on surface roughness in diamond cutting of glass soda-lime[J]. Chinese Journal of Mechanical Engineering, 2012, 25(6): 1 224–1 230.
WEI W H, XU J H, FU Y C. Tool wear in turning of titanium alloy after thermohydrogen treatment[J]. Chinese Journal of Mechanical Engineering, 2012, 25(4): 776–780.
SHEN Z Q, HE N, LI L. Extraction fuzzy linguistic rules from neural networks for maximizing tool life in high-speed milling process[J]. Chinese Journal of Mechanical Engineering, 2009, 22(3): 341–346.
LEEY M, SAMPATH W S, SHAW M C. Tool fracture probability of cutting tools under different exiting conditions[J]. ASME, 1984: 168–170.
ZHANG W, CAI C S, PAN F. Fatigue reliability assessment for long-span bridges under combined dynamic loads from winds and vehicles[J]. Journal of Bridge Engineering, 2013, 18(8): 735–747.
HASHIM M, YOSHIKAWA H, MATSUOKA T. Considerations of uncertainties in evaluating dynamic reliability by go-flow methodology — example study of reliability monitor for pwr safety system in the risk-monitor system[J]. Journal of Nuclear Science and Technology, 2013, 50(7): 695–708.
LV Z Z, SUN L, XU YL. Numerical algorithm for fuzzy reliability analysis of mechanical structure system[J]. Chinese Journal of Mechanical Engineering, 2005, 41(9): 19–23. (in Chinese)
SONG S F, LV Z Z. Structural reliability sensitivity analysis method based on markov chain monte carlo subset simulation[J]. Journal of Northwestern Polytechnical University, 2000, 45(4): 33–38.
WANG Z, XIE L Y, LI B. Time-dependent reliability model of component under random load[J]. Chinese Journal of Mechanical Engineering, 2007, 43(12): 20–25. (in Chinese)
JIN Y J, ZHANG Y M, ZHANG Y L. Analysis of reliability and reliability sensitivity for machine components by mean-value first order saddlepoint approximation[J]. Journal of Mechanical Engineering, 2009, 45(12): 102–107. (in Chinese)
ZHANG Y M, WEN B C, LIU Q L. Sensitivity of rotor-stator systems with rubbing[J]. Mechanics of Structures and Machines, 2002, 30(2): 203–211.
LI C Y, ZHANG Y M, WANG Y W. Gradual reliability and its sensitivity analysis approach of cutting tool in invariant machining condition and periodical compensation[J]. Journal of Mechanical Engineering, 2010, 48(1–4): 355–365. (in Chinese)
ZHANG Y M, HE X D, LIU Q L, et al. Reliability sensitivity of automobile components with arbitrary distribution parameters[J]. Proceedings of the Institution of Mechanical Engineers Part D-Journal of Automobile Engineering, 2005, 219(2): 165–182.
ZHANG Y M, LIU Q L. Reliability-based design of automobile components[J]. Proceedings of the Institution of Mechanical Engineers Part D, Journal of Automobile Engineering, 2002, 216(6): 455–471.
WANG X G, ZHANG Y M, WANG B Y. Reliability-based design of automobile components[J]. Proceedings of the Institution of Mechanical Engineers, Part C, Journal of Mechanical Engineering Science, 2009, 223(C2): 483–490.
YANG Z, ZHANG Y M, ZHANG X F. Reliability sensitivity-based correlation coefficient calculation in structural reliability analysis[J]. Chinese Journal of Mechanical Engineering, 2012, 25(3): 608–614.
LI C Y, ZHANG Y M, XU M Q. Reliability-based maintenance optimization under imperfect predictive maintenance[J]. Chinese Journal of Mechanical Engineering, 2012, 25(1): 160–165.
WANG X G, ZHANG Y M, WANG B Y. Dynamic reliability analysis of mechanical components[J]. Acta Armamentarii, 2009, 30(11): 1 510–1 514.
WANG Z, XIE L Y. Time-variant reliability model of components under uncertain loads[J]. Acta Aeronautica et Astronautica Sinica, 2009, 30(7): 1 243–1 247.
YANG J R, FAN Y X, YU T. Theoretical analysis and experimental study on improving the reliability of cemented carbide tools[J]. Machine Tool & Hydraulics, 2002, (6): 74–79.
YANG J R, LI Z Q. Theoretical study on reliability of cemented carbide tool[J]. Journal of Shandong University, 2003, 33(3): 235–237.
WANG X G, ZHANG Y M, WANG B Y. Dynamic reliability sensitivity analysis of mechanical components[J]. Journal of Mechanical Engineering, 2010, 46(10): 187–193. (in Chinese)
QU X Q, MA Y L, CUI H B. Statistical research of material coefficient in paris law//Chinese MTS Fracture Test Symposium, Chengdu, Sichuan, 2008: 26–31.
YAN X D, MA X, ZHENG R Y. Comparison of the parameters estimation methods for 3-parameter weibull distribution[J]. Journal of Ningbo University, 2005, 18(3): 301–305.
Author information
Authors and Affiliations
Corresponding author
Additional information
This project is supported by National Natural Science Foundation of China (Grant Nos. 51105068, 51305071), Fundamental Research Funds for the Central Universities of China (Grant No. N120203001), and Specialized Research Fund for the Doctoral Program of Higher Education (Grant No. 20110042120017)
WANG Xingang, born in 1979, is currently an associate professor at School of Control and Engineering, Northeastern University, China. His research interests include dynamic reliability analysis of mechanical components.
ZHANG Yimin, born in 1958, is currently a professor at School of Mechanical Engineering and Automation, Northeastern University, China. His research interests include dynamic reliability analysis of mechanical components. His main research interests include mechanical reliability design, modern design methodology, etc.
LI He, born in 1975, is currently a lecturer at School of Mechanical Engineering and Automation, Northeastern University, China. His main research interests include mechanical reliability design, modern design methodology
LÜ Chunmei, born in 1974, is currently a lecturer at School of Mechanical Engineering and Automation, Northeastern University, China. She research interests include mechanical reliability design.
Rights and permissions
About this article
Cite this article
Wang, X., Zhang, Y., Li, H. et al. Dynamic reliability sensitivity of cemented carbide cutting tool. Chin. J. Mech. Eng. 27, 79–85 (2014). https://doi.org/10.3901/CJME.2014.01.079
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.3901/CJME.2014.01.079