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Design optimization of mechanical properties of ceramic tool material during turning of ultra-high-strength steel 300M with AHP and CRITIC method

  • Dong WangEmail author
  • Jun Zhao
ORIGINAL ARTICLE

Abstract

Design optimization of mechanical properties is one of the most challenging tasks in the design and development of new tool materials for diverse machining applications. Mechanical properties of tool material play a crucial role during the entire tool design and machining process. This paper attempts to solve the optimization problem of mechanical properties for Al2O3-based ceramic tool material in turning of ultra-high-strength steel 300M. First, a high-speed turning experiment was conducted to explore the effect of various mechanical properties of ceramic tool materials on tool life, and then an exponential model was built to decompose the tool life for obtaining the best comprehensive mechanical properties of ceramic tools. Second, analytic hierarchy process (AHP) method combined with Criteria Importance Through Intercriteria Correlation (CRITIC) method was used to optimize the mechanical properties of ceramic tool materials. The optimization results of hardness, fracture toughness, flexural strength, and Young’s modulus were 21.3 GPa, 8.9 MPa·m1/2, 898.6 MPa, and 473.5 GPa, respectively. Finally, under the guidance of optimization results, Al2O3/TiC/TiN ceramic tool (AT10N20) materials were fabricated to turning of ultra-high-strength steel 300M. The cutting performance and wear mechanisms of ceramic tool AT10N20 were investigated. The experimental results indicated that the design optimization method could be useful for designing and developing new tool materials in specific machining applications.

Keywords

Optimization Mechanical properties Ceramic tool Ultra-high-strength steel 300M AHP Critic 

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References

  1. 1.
    Choudhury IA, El-Baradie MA (1997) Surface roughness prediction in the turning of high-strength steel by factorial design of experiments. J Mater Process Technol 67(1-3):55–61CrossRefGoogle Scholar
  2. 2.
    Grzesik W (2009) Wear development on wiper Al2O3-TiC mixed ceramic tools in hard machining of high strength steel. Wear 266(9-10):1021–1028CrossRefGoogle Scholar
  3. 3.
    Choudhury IA, El-Baradie MA (1998) Tool-life prediction model by design of experiments for turning high strength steel (290 BHN). J Mater Process Technol 77(1-3):319–326CrossRefGoogle Scholar
  4. 4.
    Abukhshim NA, Mativenga PT, Sheikh MA (2005) Investigation of heat partition in high speed turning of high strength alloy steel. Int J Mach Tools Manuf 45(15):1687–1695CrossRefGoogle Scholar
  5. 5.
    Barry J, Byrne G (2001) Cutting tool wear in the machining of hardened steels part I: alumina/TiC cutting tool wear. Wear 247(2):139–151CrossRefGoogle Scholar
  6. 6.
    Saaty TL (1980) The analytic hierarchy process. McGraw Hill, New YorkzbMATHGoogle Scholar
  7. 7.
    Saaty TL (1996) The analytic network process. McGraw Hill, New YorkGoogle Scholar
  8. 8.
    Satapathy BK, Majumdar A, Tomar BS (2010) Optimal design of flyash filled composite friction materials using combined analytical hierarchy process and technique for order preference by similarity to ideal solutions approach. Mater Des 31:1937–1944CrossRefGoogle Scholar
  9. 9.
    Zhu ZC, Xu L, Chen GA, Li YL (2010) Optimization on tribological properties of aramid fibre and CaSO4 whisker reinforced non-metallic friction material with analytic hierarchy process and preference ranking organization method for enrichment evaluations. Mater Des 31:551–555CrossRefGoogle Scholar
  10. 10.
    Mayyas A, Shen Q, Mayyas A, Abdelhamid M, Shan D, Qattawi A, Omar M (2011) Using quality function deployment and analytical hierarchy process for material selection of body-in-white. Mater Des 32:2771–2782CrossRefGoogle Scholar
  11. 11.
    Çalışkan H, Kurşuncu B, Kurbanoğlu C, Güven ŞY (2013) Material selection for the tool holder working under hard milling conditions using different multi criteria decision making methods. Mater Des 45:473–479CrossRefGoogle Scholar
  12. 12.
    Diakoulaki D, Mavrotas G, Papayannakis L (1995) Determining objective weights in multiple criteria problems: the CRITIC method. Comput Oper Res 22:763–770CrossRefzbMATHGoogle Scholar
  13. 13.
    Zheng GM, Zhao J, Gao ZJ, Cao QY (2006) Cutting performance and wear mechanisms of sialon-Si3N4 graded nano-composite ceramic cutting tools. Int J Adv Manuf Technol 58:19–28CrossRefGoogle Scholar
  14. 14.
    Ozel T, Hsu TK, Zeren E (2005) Effects of cutting edge geometry, workpiece hardness, feed rate and cutting speed on surface roughness and forces in finish turning of hardened AISI H13 steel. Int J Adv Manuf Technol 25:262–269CrossRefGoogle Scholar
  15. 15.
    Davim JP, Figueira L (2006) Machinability evaluation in hard turning of cold work tool steel (D2) with ceramic tools using statistical techniques. Mater Des 28:1186–1191CrossRefGoogle Scholar
  16. 16.
    Sahin Y, Motorcu AR (2008) Surface roughness model in machining hardened steel with cubic boron nitride cutting tools. Int J Refract Met Hard Mater 26:84–90CrossRefGoogle Scholar
  17. 17.
    Ozel T, Karpat Y (2005) Predictive modeling of surface roughness and tool wear in hard turning using regression and neural networks. Int J Mach Tools Manuf 45:467–479CrossRefGoogle Scholar
  18. 18.
    Li AH, Zhao J, Zhou YH, Chen XX, Wang D (2012) Experimental investigation on chip morphologies in high-speed dry milling of titanium alloy Ti-6Al-4V. Int J Adv Manuf Technol 62:933–942CrossRefGoogle Scholar
  19. 19.
    Poulacho G, Moisan A, Jawahir IS (2001) Tool-wear mechanisms in hard turning with polycrystalline cubic boron nitride tools. Wear 250:576–586CrossRefGoogle Scholar
  20. 20.
    Risbood KA, Dixit US, Sahasrabudhe AD (2003) Prediction of surface roughness and dimensional deviation by measuring cutting forces and vibrations in turning process. J Mater Process Technol 132:203–214CrossRefGoogle Scholar

Copyright information

© Springer-Verlag London 2015

Authors and Affiliations

  1. 1.School of Mechanical EngineeringXi’an Technological UniversityXi’anPeople’s Republic of China
  2. 2.Key Laboratory of High Efficiency and Clean Mechanical Manufacture of MOE, School of Mechanical EngineeringShandong UniversityJinanPeople’s Republic of China

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