Optimization Design on the Mechanical Properties of Ceramic Tool and Die Material with Immune Algorithm

Abstract:

Immune algorithm is a computational intelligent method which imitates the information processing properties of the natural immune system. It is one of the effective global optimization algorithms with higher global convergence. In this paper, mathematic model between the mechanical properties and the constituent of Al2O3 based ceramic tool and die material is established with the method of regression analysis. The obtained relationship function works as the optimum objective function. The immune algorithm is then used to optimize the mechanical properties of material. The best value of fracture toughness, hardness and flexural strength is 5.356 MPa·m1/2, 20.702 GPa and 731.96 MPa, respectively. The volume fractions of SiC and Ti (C,N) can be obtained when the mechanical properties of material reach the optimum. The result shows that using immunity algorithm can find the global optimal solution rapidly, and avoid the premature convergence phenomena existed in the genetic algorithm. Comparing the optimal results with experimental results, the relative error is small. It suggested that the immune algorithm can well be used for the optimum design of ceramic tool and die materials.

• Periodical: Materials Science Forum (Volumes 704-705)
• Pages: 1083-1088
• DOI: https://doi.org/10.4028/www.scientific.net/MSF.704-705.1083
• Online since: December 2011
• Authors: Hui Fa Zhang, Chong Hai Xu, Jing Jie Zhang, Xing Hai Wang
• Keywords: Ceramic Tool, Die Material, Immune Algorithm, Mechanical Property, Optimum Design

References

[1] Z.Z. Hou, J.J. Wu: Journal of Hebei University of Technology, Vol. 32 (2003), p.94.

[2] M. Yazdanmehr, S.H. Mousavi Anijdan and A. Samadi: Computational Materials Science, Vol. 44 (2009), p.1231.

[3] N. Sinan Koksal: Computational Materials Science, Vol. 47 (2009), p.86.

[4] J.J. Zhang, C.H. Xu: Study on the Composition Optimum Design of Ceramic Die Material with Genetic Algorithm, in: Natural Computation, edited by H.Y. Wang, K.S. Low, Tianjin, China, The IEEE Computer Society (2009).

DOI: 10.1109/icnc.2009.588

[5] S. John: S. Sikdar and P.K. Swamy: Journal of Materials Processing Technology, Vol . 195 (2008), p.314.

[6] C. Xu, C.S. Nie and D. Zhang: Journal of Mechanical Strength, Vol. 30 (2008), p.376.

[7] T.W. Ji, J. Gao and G.Q. Zhao: Journal of Plasticity Engineering, Vol. 15 (2008), p.24.

[8] C.H. Xu: Composite ceramic tool material design simulation and its application research, Jinan, Shandong University of Technology (1998).