Skip to main content

Estimation of Cutting Forces and Tool Wear Using Modified Mechanistic Models in High Performance Turning

  • Chapter
  • First Online:
Traditional Machining Processes

Abstract

In this chapter a model for prediction of cutting forces when turning austenitic stainless steels following the approach of mechanistic models is presented. Mechanistic models, also called semi-empiric, use empiric laws based on the tool geometry and coefficients obtained by experimentation. These coefficients implicitly pick up characteristic data about part and tool materials or tool geometry. Therefore, a series of machining tests is required to calculate these coefficients for each pair tool-workpart, commonly known as characterization tests. This chapter is structured as follows. In Sect. 3.1 a model for prediction of cutting forces without considering the effect of tool wear is presented. This model allows to estimate with reasonable precision the cutting forces. This model can be used, for example, in the scope of machine-tools and fixtures design or optimization of cutting tool geometry. In Sect. 3.2 this model is extended to include the effect of tool wear. So, the model can be used in the scope of monitoring techniques. Both models were developed for turning AISI 303 austenitic stainless steels at high-speed cutting conditions.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Altintas Y (2000) Manufacturing automation: metal cutting mechanics, machine tool vibrations, and CNC design. Cambridge University Press, Cambridge

    Google Scholar 

  2. Denkena B, Köler J (2010) Consideration of the form of the non-deformed section of cut in the calculation of machining forces. Mach Sci Technol 14(4):455–470

    Article  Google Scholar 

  3. Fernández-Abia AI, Barreiro J, López de Lacalle LN, Martínez S (2011) Effect of very high cutting speeds on shearing, cutting forces and roughness in dry turning of austenitic stainless steels. Int J Adv Manuf Technol 57:61–71. doi:10.1007/s00170-011-3267-9

    Article  Google Scholar 

  4. Lamikiz A (2003) Un modelo para la estimación de la fuerza de corte en el fresado de superficies complejas. Ph.D. Thesis, Universidad del País Vasco

    Google Scholar 

  5. Lee P, Altintas Y (1996) Prediction of ball-end milling forces from orthogonal cutting data. Int J Mach Tool Manuf 36:1059–1072

    Article  Google Scholar 

  6. Peña D (2002) Regresión y diseño de experimentos. Alianza Editorial, Madrid

    Google Scholar 

  7. Kobayashi S, Thomsen EG (1960) The role of friction in metal cutting. J Eng Power ASME Trans Ser B 82:324

    Article  Google Scholar 

  8. Thomsen EG, Macdonald AG, Kobayashi S (1962) Flank friction studies with carbide tools reveal sublayer plastic flow. J Eng Ind 84:53–62

    Article  Google Scholar 

  9. Shi T, Ramalingam S (1991) Slip-line solution for orthogonal cutting with chip breaker and flank wear. Int J Mech Sci 33:689–704

    Article  Google Scholar 

  10. Song W (2006) Development of predictive force models for classical orthogonal and oblique cutting and turning operations incorporating tool flank wear effects. Ph.D. thesis, Queensland University of Technology

    Google Scholar 

  11. Kious M, Ouahabi A, Boudraa M, Serra R, Cheknane A (2010) Detection process approach of tool wear high speed milling. Measurement 43:1439–1446

    Article  Google Scholar 

  12. Remadna M, Rigal JF (2006) Evolution during time of tool wear and cutting forces in the case of hard turning with CBN inserts. J Mater Process Technol 178:67–75

    Article  Google Scholar 

  13. Sikdar SK, Chen M (2002) Relationship between tool flank wear area and component forces in single point turning. J Mater Process Technol 128:210–215

    Article  Google Scholar 

  14. Ghani JA, Rizal M, Sayuti A, Nuawi MZ, Rahmam MN, Che Haron CH (2009) New regression model and I-Kaz Method for online cutting tool wear monitoring. World Acad Sci Eng Technol 60:420–425

    Google Scholar 

  15. Oraby SE, Hayhurst DR (2004) Tool life determination based on the measurement of wear and tool force ratio variation. Int J Mach Tools Manuf 44:1261–1269

    Article  Google Scholar 

  16. Dimla DE (2004) The impact of cutting conditions on cutting forces and vibration signals in turning with plane face goemetry inserts. J Mater Process Technol 155–156:1708–1715

    Article  Google Scholar 

  17. Montgomery DC (2003) Diseño y análisis de experimentos. Limusa, México

    Google Scholar 

  18. Trent EM, Wright PK (2000) Metal cutting. Butterworth-Heinemann, Boston

    Google Scholar 

  19. Obikawa T, Shinozuka J (2004) Monitoring of flank wear of coated tools in high speed machining with a neural network ART2. Int J Mach Tools Manuf 44:1311–1318

    Article  Google Scholar 

  20. Ning L, Veldhuis SC (2006) Mechanistic modelling of ball end milling including tool wear. J Manuf Process 8:21–28

    Article  Google Scholar 

  21. Oraby SE, Hayhurst DR (1991) Development of models for tool wear force relationships in metal cutting. Int J Mech Sci 33(2):125–138

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ana Isabel Fernández-Abia .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Fernández-Abia, A.I., García, J.B., de Lacalle, L.N.L., Neto, O.P. (2015). Estimation of Cutting Forces and Tool Wear Using Modified Mechanistic Models in High Performance Turning. In: Davim, J. (eds) Traditional Machining Processes. Materials Forming, Machining and Tribology. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45088-8_3

Download citation

  • DOI: https://doi.org/10.1007/978-3-662-45088-8_3

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-45087-1

  • Online ISBN: 978-3-662-45088-8

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics