Log in

Optimization of cutting parameters for energy saving

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

Abstract

Correct selection of cutting parameters is one of effective approaches to achieve optimum machining process, including reducing energy consumption. For the close relationship between cutting parameters and energy consumption in machining process, energy consumed is modeled and to be reduced based on analyzing the energy consumption in this paper. According to the different requirements in roughing process and finishing process, corresponding multi-objective optimization functions are formulated considering energy consumption. Taking the optimization of milling operations on aluminum alloy as an example, experiments are carried out to analyze the energy consumption and production rate with sets of optimized/un-optimized cutting parameters for different objectives. The experimental results show that the objectives of low consumed energy and high production rate can be simultaneously achieved by optimization of cutting parameters.

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

Access this article

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

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. Dang H, Tamayo J, Wilkinson D (2007) New Zealand energy in brief. New Zealand Ministry of Economic Development, Wellington

    Google Scholar 

  2. Gutowski T, Murphy C, Allen D et al (2005) Environmentally benign manufacturing: observations from Japan, Europe and the United States. J Clean Prod 13(1):1–17

    Article  Google Scholar 

  3. Gutowski T, Dahmus J, Thiriez A (2006) Electrical energy requirements for manufacturing processes. 13th CIRP International Conference on Life Cycle Engineering, Leuven, May 31–June 2

  4. Gilbert WW (1950) Economic of machining, machining theory and practice. American Society of Metals, Detroit

    Google Scholar 

  5. Field M, Zlatin N, Williams R, Kronenberg M (1968) Computerized determination and analysis of cost and production rates for machining operations. Eng Trans ASME 90:455–466

    Article  Google Scholar 

  6. Liu F, Xu Z (1993) Study on energy flow models of mechanical transmission systems. Chin J Mech Eng (English Edition) 6(3):215–219

    Google Scholar 

  7. Liu F, Xu Z (1995) Energy characteristics of machining system and its application. China Machine Press, Bei**g

    Google Scholar 

  8. Draganescu F, Gheorgh M, Doicin CV (2003) Models of machine tool efficiency and specific consumed energy. J Mater Process Technol 141(1):9–15

    Article  Google Scholar 

  9. Zhang S (2009) Green machine tool and green manufacturing. Mod Components 5:46–49

    Google Scholar 

  10. Rad-Tolouei M, Bidhendl IM (1997) On the optimization of machining parameters for milling operations. Int J Mach Tool Manuf 37(1):1–16

    Article  Google Scholar 

  11. Sonmez AI, Baykasoglu A, Filiz IH (1999) Dynamic optimization of multipass milling operations via geometric programming. Int J Mach Tool Manuf 39(2):297–320

    Article  Google Scholar 

  12. Vijayakumar K (2003) Optimization of multi-pass turning operations using ant colony system. Int J Mach Tool Manuf 43(15):1433–1439

    Article  Google Scholar 

  13. Saravanan R, Asokan P, Vijayakumar K (2003) Machining parameters optimization for turning cylindrical stock into a continuous finished profile using genetic algorithm (GA) and simulated annealing (SA). Int J Adv Manuf Technol 21(7):1–9

    Google Scholar 

  14. Li JG, Zhao H, Sheng M (2010) NC turning process optimization based on virtual machining. J Harbin Inst Tech 42(11):1740–1752

    Google Scholar 

  15. Yang Y, Li X, Gao L, Shao X (2013) Modeling and impact factors analyzing of energy consumption in CNC face milling using GRASP gene expression programming. Int J Adv Manuf Technol. doi:10.1007/s00170-013-5017-7

    Google Scholar 

  16. **e D, Xu D (2011) Optimization design of numerical control tool energy base on cutting parameters. Coal Mine Mach 32(2):21–24

    MathSciNet  Google Scholar 

  17. Moon JY, Shin K, Park J (2013) Optimization of production scheduling with time-dependent and machine-dependent electricity cost for industrial energy efficiency. Int J Adv Manuf Technol. doi:10.1007/s00170-013-4749-8

    Google Scholar 

  18. Li JG, Zhao H, Yao YX, Liu CQ (2008) Off-line optimization on NC machining based on virtual machining. Int J Adv Manuf Technol 36(9–10):908–917

    Article  Google Scholar 

  19. Antonio C, Giovanni C, Sergio F (2011) Optimization of multi-pass turning economies through a hybrid particle swarm optimization technique. Int J Adv Manuf Technol 53(5–8):421–433

    Google Scholar 

  20. Indrajit M, Pradip KR (2006) A review of optimization techniques in metal cutting processes. Comput Ind Eng 50:15–34

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jian-guang Li.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Li, Jg., Lu, Y., Zhao, H. et al. Optimization of cutting parameters for energy saving. Int J Adv Manuf Technol 70, 117–124 (2014). https://doi.org/10.1007/s00170-013-5227-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-013-5227-z

Keywords

Navigation