Applying particle swarm optimization to quantitative texture analysis by maximum entropy method

作者：Wang Dazhi^*; Wang Dapeng; Wang Dingwei; Zuo Liang; Wang Fu; Liang Zhide

来源：Acta Metallurgica Sinica, 2008, 44(2): 183-187.

• deep-drawing steel sheet
• texture
• particle swarm optimization (PSO)
• orientation distribution ODF)
• maximum entropy method (MEM)

Based on maximum entropy method (MEM), the particle swarm optimization (PSO) with inertia weight factor was effectively applied for the quantitative texture analysis, and satisfying calculation results have been obtained for complete orientation distributions of many deep-drawing steel sheets and purity copper samples with macro orthogonal symmetry. In the processing data, there is not any assumption except that the entropy is maximum, furthermore, the calculated results are not affected by the sample compositions, texture compositions as well as their orientation distributions at all.

• 出版日期2008-2
• 单位沈阳航空航天大学; 东北大学