摘要
总结了锻造过程优化，变形工艺参数优化及锻件锻后的组织和性能预测的现状和发展趋势。作为今后的发展，提出了一种用模糊神经网络建模来预测锻件锻后的组织和性能，并优化变形工艺参数。这对保证锻件质量、减少材料消耗、提高生产率有显著的优越性。将智能学科与塑性加工学科进行交叉和渗透，具有重要的科学意义。
In this paper,optimization of process parameters and prediction of microstructure and performance of forging have been summarizedOn the basis of the summarization,a fuzzy neurai network model has been proposed and applied to prediction of microstructure and performance and optimization of process parametersWith the help of the method proposcd in this paper,good quality of dicforging can be ensured and consumption of material can be decreased
出处
《材料工程》
EI
CAS
CSCD
北大核心
1998年第1期42-45,共4页
Journal of Materials Engineering
关键词
模糊神经网络
性能预测
自适应
锻件
锻后组织
fuzzy neural network microstructure and performance prediction process parameters optimization
