[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ Skip to main content
Springer Nature Link
Log in

Optimization of multi-tool machining processes with simultaneous action

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

Abstract

The optimization of machining parameters for machine tools using the criterion of maximum productivity rate is complex and, in many cases, an unresolved issue. The intensification of machining processes leads to changes in the productivity rate. In the case of multi-tool machining processes, engaging cutters simultaneously to define optimal machining parameters for the maximum productivity rate is an important problem. Such multi-tool processes are conducted in multi-spindle and multi-station machine tools, turret-type lathes, automated lines, etc. This paper is intended to formulate a mathematical model for the optimization of multi-tool cutting processes on machine tools based on the criterion of maximum productivity rate. The mathematical model of the new productivity rate equation (for machine tools with changes in cutting for the optimal multi-tooling operation with simultaneous action) is confirmed by practical test.

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

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
£29.99 /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 includes VAT (United Kingdom)

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Kalpakjian S, Schmid SR (2009) Manufacturing engineering & technology, 6th edn. Prentice Hall

  2. Venkata Rao R (2011) Advanced modeling and optimization of manufacturing processes, 1st ed., Springer series in advanced manufacturing

  3. Volchkevich L (2005) Automation of manufacturing processes. Mashinostroenie, Moscow

    Google Scholar 

  4. Mukherjee I, Ray PK (2006) A review of optimization techniques in metal cutting processes. Comp Ind Eng 50(1):15–34

    Article  Google Scholar 

  5. Kountanya RK, Boppana P (2008) Optimization of machining of automotive components with polycrystalline cubic boron nitride. P I MECH ENG B-J ENG 222(7):797–805

    Google Scholar 

  6. Kumar AS, Khan MA, Thiraviam R, Sornakumar T (2006) Machining parameters optimization for alumina based ceramic cutting tools using genetic algorithms. Mach Sci Technol 10:471–489

    Article  Google Scholar 

  7. Gupta M, Kumar S (2013) Multi-objective optimization of cutting parameters in turning using grey relational analysis. Int J Ind Eng Comput 4(4):547–558

    Google Scholar 

  8. Yang C-L (2011) Optimizing the glass fiber cutting process using the Taguchi methods and grey relational analysis. NJGC 1(1):13–19

    Article  Google Scholar 

  9. Magdum VB, Naik VR (2013) Evaluation and optimization of machining parameter for turning of EN 8 steel. IJETT 4(5):1564–1568

    Google Scholar 

  10. Saffar RJ, Razfar MR, Salimi AH, Khani MM (2009) Optimization of machining parameters to minimize tool deflection in the end milling operation using genetic algorithm. World Appl Sci J 6(1):64–69

    Google Scholar 

  11. Lavanya KM, Suresh RK, Priya ASK, Reddy VD (2013) Optimization of process parameters in turning operation of AISI-1016 alloy steels with CBN using Taguchi method and ANOVA. IOSR-JMCE 7(2):24–27, e-ISSN: 2278–1684, p-ISSN: 2320–334X

    Article  Google Scholar 

  12. Yazdi MRS, Khorram A (2010) Modeling and optimization of milling process by using RSM and ANN methods. IACSIT International Journal of Engineering and Technology 2(5):474–480

    Article  Google Scholar 

  13. Ganesan H, Mohankumar G (2011) Study on optimization of machining parameters in turning process using evolutionary algorithm with experimental verification. IJMET 2(1):10–21

    Google Scholar 

  14. Deep K, Chauhan P, Pant M (2011) Optimization of machining parameters using a novel real coded genetic algorithm. Int J Appl Math Mech 7(3):53–69

    Google Scholar 

  15. Usubamatov R, Zain ZM, Ahmed AM (2011) Productivity rate of machine tools depending on the change of machining modes. P I MECH ENG B-J ENG 225(8):1447–1456

    Google Scholar 

  16. Usubamatov R, Ismail KA, Sah ZM (2013) Mathematical models for productivity and availability of automated lines. Int J Adv Manuf Technol 66(1):59–69

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Manufacturing Engineering, UniMAP, Campus Tetap, Pauh Putra, 02600, Arau, Perlis, Malaysia

    Ryspek Usubamatov, Z. M. Zain, T. C. Sin & S. Kapaeva

Authors
  1. Ryspek Usubamatov
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Z. M. Zain
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. T. C. Sin
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. S. Kapaeva
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Ryspek Usubamatov.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Usubamatov, R., Zain, Z.M., Sin, T.C. et al. Optimization of multi-tool machining processes with simultaneous action. Int J Adv Manuf Technol 82, 1227–1239 (2016). https://doi.org/10.1007/s00170-015-6920-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-015-6920-x

Keywords

Search

Navigation