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

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.