Manufacturing Technology 2015, 15(3):448-455 | DOI: 10.21062/ujep/x.2015/a/1213-2489/MT/15/3/448

Design of Experiments for CNC Turning

Stusek Jaromir1, Macak Tomas2
1 Czech University of Life Sciences Prague, Department of Economics, Department of Management Kamycka 129, 165 21 Prague 6, Czech Republic
2 Czech Technical University in Prague, Masaryk Institute of Advanced Studies, Kolejní 2637/2a, 160 00 Prague 6

This paper follows on research on published in the Journal of the Academy of Business & Economics [1] (authors Hron and Macak) and complements previous research on the area of design of experiments using a factorial design. Further results are compared between Fuzzy Logic and Design of experiment approaches.The main purpose of this paper is to compare the results between the mathematical model of optimization of CNC turning and the optimization using the fuzzy-logic method for multi-criteria optimization of cutting conditions. The comparison in this paper verifies these two approaches. In the case of an inconsistency, the objective of this paper would be to suggest a new approach where the incorporation of the mathematical model (as an approximation form) and the optimization of fuzzy-logic would be consistent.

Keywords: Design of experiments, cutting conditions, fuzzy logic, the surface roughness of workpiece

Published: June 1, 2015  Show citation

ACS AIP APA ASA Harvard Chicago IEEE ISO690 MLA NLM Turabian Vancouver
Jaromir S, Tomas M. Design of Experiments for CNC Turning. Manufacturing Technology. 2015;15(3):448-455. doi: 10.21062/ujep/x.2015/a/1213-2489/MT/15/3/448.
Share...
Download citation
  • BibTeX (.bib)
  • Bookends (.ris)
  • EasyBib (.ris)
  • EndNote (.enw)
  • EndNote 8 (.xml)
  • ISI WoS (.isi)
  • Medlars (.medlars)
  • Mendeley (.ris)
  • MODS (.xml)
  • Papers (.ris)
  • RefWorks (.txt)
  • RefManager (.ris)
  • RIS (.ris)
  • MS Word (.xml)
  • Zotero (.ris)
    • Open article abstract

    References

    1. HRON, J. MACAK, T. (2012). Fuzzy sets with using full factorial experiment for production opimalization In: Journal of the Academy of Business & Economics, Vol. 12, pp. 43-43.
    2. TUSOM, N. (2004). Optimisation for hot turning operations with multiple performance characteristics. International Journal of Advanced Manufacturing Technology, Vol. 23, No 2, pp.11-12. 2004. Go to original source...
    3. SYUNG, T., L. (2010). Optimization on Surface Roughness for CNC Turning. Mathematical Problems in Engineering. ISSN: 1024123X. Go to original source...
    4. SLANEC, K. (1996). Geometric Accuracy. Czech Technical University Publishing. Prague.
    5. VASILKO, K. (2015). The Influence of Shift on Machined Surface Microgeometry and Its Use. Karol. Manufacturing Technology. Vol. 15, No 1. Go to original source...
    6. HAO W., HONGTAO, Z. GUO QIANJIAN, G. (2008). Thermal error optimization modeling and real-time compensation on a CNC turning center. Journal of materials processing technology, Vol. 2, No. 7, pp. 172-179. Go to original source...
    7. WAN M., WEN-JIE P. et al. (2014). A unified instantaneous cutting force model for flat end mills with variable geometries. Journal of Materials Processing Technology 214, 641-650. Go to original source...
    8. NIU W., BERMINGHAM M. J. at al. (2013). The effect of cutting speed and heat treatment on the fatigue life of Grade 5 and Grade 23 Ti-6Al-4V alloys. Materials and Design. Vol. 46, pp. 640-644. Go to original source...
    9. ZAFER T. (2004). Investigation of the cutting parameters depending on process sound during turning of AISI 304 austenitic stainless steel. Materials & Design, Vol. 25, No. 6, pp. 507-513. Go to original source...
    10. BACH, P., POLÁČEK, M., CHVOJKA, P., DROBÍLEK, J. (2014). Dynamic Forces in Unstable Cutting during Turning Operation. Manufacturing Technology. Vol. 14, No 1. Go to original source...
    11. KROIß, T., ENGEL, U., MERKLEIN, M. (2013). Comprehensive approach for process modeling and optimization in cold forging considering interactions between process, tool and press. Journal of Materials Processing Technology, Vol. 213, pp. 1118-1127. Go to original source...
    12. KONEA, F., C. CZARNOTA, C., et al. (2013). Modeling of velocity-dependent chip flow angle and experimental analysis hen machining 304L austenitic stainless steel with groove coated-carbide tools. Journal of Materials Processing Technology, Vol. 213, pp. 1166-1178. Go to original source...
    13. EDWARDS K., L. (2005). A risk-based approach to manufacturing process control: use in autoclave moulded composite sandwich panels. Materials and Design, Vol. 26, pp. 690-699. Go to original source...
    14. KAVKA, K., VRABEC, M. (2000). Production Management, Czech Technical University Publishing, Prague.
    15. MONGOMERY, D.C. I. (2011). The use of statistic process control and Design of Experiments in product and improvement, IIE Transactions, Vol. 25, No. 5, pp. 4-17. Go to original source...
    16. WANG Q., ZHAOHAI C., ZHAOFENG C. (2013). Design and characteristics of hybrid composite armor subjected to projectile impact. Materials and Design. Vol. 46, pp. 634-639. Go to original source...
    17. NOVAK, M., HIROSHI, K., HITOSHI, O. (2013). Differences at the Surface Roughness by the ELID and Grinding Technology. Manufacturing Technology. Vol. 13, No. 2. Go to original source...
    18. MADL, J., VRABEC, M. (2000). Machining Technology. Czech Technical University Publishing. Prague.
    19. MAREK, J. (2010). Design of CNC Machine Tools. MM Publishing. Prague.

    Return to the content