摘要
以锻件晶粒度分布的均匀性与细小化为目标,建立了锻造变形过程的微观组织演变模型,并给出了优化目标函数表达式。采用刚塑性有限元和遗传优化算法相结合,开发了微观组织模拟与优化软件,并对典型的圆柱体镦粗工艺过程进行了微观组织模拟与优化。优化结果表明,影响变形均匀性的摩擦因素显著影响成形后的微观组织晶粒度的分布均匀性和细小化,同时对其它工艺因素的优化也能一定程度地实现对最终锻件组织均匀和细小化的控制。研究结果表明,在有限元数值模拟基础上建立微观遗传优化算法,能够对锻造等金属体积成形过程中的工艺参数与材料状态参数等实施优化,以达到通过控制成形工艺因素来优化微观组织,而实现提高产品性能的目的。
The microstructure evolvement model of the hot forging process is established at the aim of uniformity and minuteness of the crystal distribution in the final parts , The expression of the object function is then given. The microstructure simulation and optimization software is programmed by combining the rigid plastic FEM and the genetic algorithm. The microstructure simulation and optimization of the hot upsetting a cylindrical billet is achieved using the software developed in this paper. The optimization results show that the friction, as an important factor, affects distribution uniformity and fine of the crystal. In the meantime, optimizing the other parameters can also control the mierostrueture as a certain degree. The research work in the paper shows that the genetic algorithm based on FEM can obtain the best process and condition parameters during the metal plastic working to optimize the mierostrueture and improve the properties of the final parts.
出处
《塑性工程学报》
EI
CAS
CSCD
北大核心
2005年第5期49-53,共5页
Journal of Plasticity Engineering
基金
国家自然科学基金(50475130)
山东省优秀中青年科学家科研奖励基金资助课题
关键词
微观组织优化
锻造
遗传算法
有限元方法
microstructure simulation and optimization
forging
genetic algorithm
finite element method
