会议专题

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.

Zhang Huifa Xu Chonghai Zhang Jingjie Wang Xinghai

School of Mechanical Engineering, Shandong Institute of Light Industry, Jinan 250353,China School of Mechanical Engineering, Shandong Institute of Light Industry, Jinan 250353,China School of School of Material Science and Engineering, Shandong Institute of Light Industry, Jinan 250353, Chin

国际会议

The 6th International Conference on Physical and Numerical Simulation of Materials Processing(第六届材料与热加工物理模拟及数值模拟国际学术会议 ICPNS 2010)

桂林

英文

1-6

2010-11-16(万方平台首次上网日期,不代表论文的发表时间)