Skip to main content
Log in

Investigations on model-based simulation of tool wear with carbide tools in milling operation

  • ORIGINAL ARTICLE
  • Published:
The International Journal of Advanced Manufacturing Technology Aims and scope Submit manuscript

Abstract

This paper deals with tool wear in milling operation using carbide tools. The main purpose of this work is to define a model-based procedure for forecasting tool-wear progression during cutting operation by using machining simulation. Firstly, a multi-axis machining simulation algorithm is proposed based on DEXEL model and local area update method. NC milling machining process simulation software NCToolWearSim is realized by using Visual C++ and OpenGL. The developed process simulation software is used to simulate the cutting process. Secondly, tool-wear simulation algorithm in the machining process is presented with tool-wear model and machining simulation algorithm and is implemented into the machining simulation software NCToolWearSim in order to evaluate the tool wear and to update the tool geometry. The tool-wear value is estimated according to the established tool-wear model from experienced tool-wear data. Thus, tool-wear progression can be visualized in milling operation by using NCToolWearSim. Finally, experimental tests, performed milling integral wheel with carbide tools, were used to calibrate and validate the correctness of tool-wear simulation process based on the tool-wear model.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Bhattacharyya P, Sengupta D, Mukhopadhyay S (2007) Cutting force-based real-time estimation of tool wear in face milling using a combination of signal processing techniques. Mech Syst Signal Process 21(6):2665–2683

    Article  Google Scholar 

  2. Wang H, Shao H, Chen M (2003) On-line tool breakage monitoring in turning. J Mater Process Technol 139(1–3):237–242

    Google Scholar 

  3. Chen JC, Chen JC (2005) An artificial-neural-networks-based in-process tool wear prediction system in milling operations. Int J Adv Manuf Technol 25(5–6):427–434

    Article  Google Scholar 

  4. Castejon M, Alegre E, Barreiro J, Hernandez LK (2007) On-line tool wear monitoring using geometric descriptors from digital images. Int J Mach Tool Manuf 47(12–13):1847–1853

    Article  Google Scholar 

  5. Stavropoulos P, Stournaras A, Chryssolouris G (2009) On the design of a monitoring system for desktop micro-milling machines. Int J Nanomanuf 3(1/2):29–39

    Article  Google Scholar 

  6. Stavropoulos P, Salonitis K, Stournaras A, Pandremenos J, Paralikas J, Chryssolouris G (2007) Experimental investigation of micro-milling process quality. Proceedings of the 40th CIRP International Seminar on Manufacturing Systems, Liverpool, UK

  7. Filice L, Micari F, Settineri L, Umbrello D (2007) Wear modelling in mild steel orthogonal cutting when using uncoated carbide tools. Wear 262:545–554

    Article  Google Scholar 

  8. Cheng K, Luo X, Ward R, Holt R (2003) Modeling and simulation of the tool wear in nanometric cutting. Wear 255:1427–1432

    Article  Google Scholar 

  9. Ozel T, Karpat Y, Figueira L (2007) Modeling of surface finish tool flank wear in turning of AISI D2 steel with ceramic wiper inserts. J Mater Process Technol 189(1–3):192–198

    Article  Google Scholar 

  10. Kishawy HA, Kannan S, Balazinski M (2005) Analytical modeling of tool wear progression during turning particulate reinforced metal matrix composites. Ann CIRP 54(1):55–58

    Article  Google Scholar 

  11. Shimada S, Tanaka H, Higuchi M, Yamaguchi T, Honda S, Obata K (2004) Thermo-chemical wear mechanism of diamond tool in machining of ferrous metals. Ann CIRP 53(1):57–60

    Article  Google Scholar 

  12. Takeyama H, Murata T (1963) Basic investigations on tool wear. Trans ASME-J Eng Ind 85:33–38

    Article  Google Scholar 

  13. Astakhov VP (2004) The assessment of cutting tool wear. Int J Mach Tool Manuf 44:637–647

    Article  Google Scholar 

  14. Lim CYH, Lim SH, Lee KS (1999) Wear of TiC-coated carbide tools in dry turning. Wear 225–229:354–367

    Article  Google Scholar 

  15. Ghosh R, Li PX, Fang XD, Jawahir IS (1995) An investigation of the effects of chip flow on tool-wear in machining with complex grooved tools. Wear 184(2):145–154

    Article  Google Scholar 

  16. Penalva ML, Arizmendi M, Daz F, Fernandez J (2002) Effect of tool wear on roughness in hard turning. Ann CIRP 51(1):57–60

    Article  Google Scholar 

  17. Abele E, Sahm A, Schulz H (2002) Wear mechanism when machining compacted graphite iron. Ann CIRP 51(1):53–56

    Article  Google Scholar 

  18. Yen YC, Sohner J, Lilly B, Altan T (2004) Estimation of tool wear in orthogonal cutting using the finite element analysis. J Mater Process Technol 146:82–91

    Article  Google Scholar 

  19. Filice L, Umbrello D, Micari F, Settineri L (2007) Wear modelling in mild steel orthogonal cutting when using uncoated carbide tools. Wear 262(5–6):545–554

    Article  Google Scholar 

  20. Bouzakis K-D, Mirisidis I, Lili E, Michailidis N, Sampris A, Skordaris G, Pavlidou E, Erkens G, Wirth I (2006) Impact resistance of PVD films and milling performance of coated tools at various temperature levels. Ann CIRP 55(1):67–70

    Article  Google Scholar 

  21. AbdulKadir A, Xun X (2011) Towards high fidelity machining simulation. J Manuf Syst 30(3):175–186

    Article  Google Scholar 

  22. Tang SC, Xiao TY, Fan WH (2010) A collaborative platform for complex product design with an extended HLA integration architecture. Simulat Model Pract Theor 18:1048–1068

    Article  Google Scholar 

  23. Koren Y (1978) Flank wear model of cutting tools using control theory. J Eng Ind, Trans ASME 100(1):103–110

    Article  Google Scholar 

  24. Zhang C, Liu XH, Fang JW, Zhou LS (2011) A new tool wear estimation method based on shape mapping in the milling process. Int J Adv Manuf Technol 53(1–4):121–130

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Chen Zhang.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Zhang, C., Zhou, L. & Liu, X. Investigations on model-based simulation of tool wear with carbide tools in milling operation. Int J Adv Manuf Technol 64, 1373–1385 (2013). https://doi.org/10.1007/s00170-012-4108-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-012-4108-1

Keywords

Navigation