Abstract
This paper distinguished “good” tools and defective tools considering the high tool failure rate in the initial cutting process, so the distribution function of tool life was given combined with the lognormal distribution. The paper optimized the tool replacement interval under the restriction of process capability, to minimize the tool using cost in every unit time. In addition, the effects tool grinding have on the cost was analyzed, to seek for the best combination of tool grinding interval and grinding times, and further decrease the using cost.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Zheng, D., Sun, L.: Study on tool wear and life based on dimensional inspection data. Modular Machine Tool and Automation Technology 8(4), 32–35 (2002)
Vagnorius, Z., et al.: Determining optimal replacement time for metal cutting tools. European Journal of Operational Research 206(2), 407–416 (2010)
Liu, Z., Li, Z., Ai, X.: Test on the spot for Scattered Pattern of Cutter Wear Life. Manufacturing Echnology & Machine Tool (12), 8–10 (1995)
Rausand, M., Hyland, A.: System Reliability Theory; Models, Statistical Methods, and Applications. Wiley, Hoboken (2004)
ElWardany, T.E., Elbestawi, M.A.: Prediction of tool failure rate in turning hardened steels. International Journal of Advanced Manufacturing Technology 13(1), 1–16 (1997)
He, Z., Zhang, M., Dong, Y.: A Study on Tool Life Based on Process Capability Indices. China Mechanical Engineering 17(3), 295–297 (2006)
Xie, M.: Process Capability Indices for A Regularly Adjusted Process. International Journal of Production Research 40(10), 2367–2377 (2002)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag GmbH Berlin Heidelberg
About this paper
Cite this paper
Deng, Yh., Zhu, Hp., Zhang, Gj., Yin, H. (2012). Optimal Tool Replacement Decision Method Based on Cost and Process Capability. In: Zhang, T. (eds) Mechanical Engineering and Technology. Advances in Intelligent and Soft Computing, vol 125. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27329-2_2
Download citation
DOI: https://doi.org/10.1007/978-3-642-27329-2_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27328-5
Online ISBN: 978-3-642-27329-2
eBook Packages: EngineeringEngineering (R0)