中国机械工程Issue(9)：1227-1232,6.DOI:10.3969/j.issn.1004132X.2015.09.018
集成机理与数据的复杂模锻过程在线建模方法
Online Modeling Method with Integrated Mechanism and Data for Whole Complex Forging Process
摘要
Abstract
Forming of large aviation forging with high dimensional accuracy and high quality was dependent on highly precise model.However,it was hard to obtain precise model with complex forg-ing shape,complex microstructure of forging material,strongly nonlinear and time-varying forging force,and so on.The physical and analytical model was combined with online compensating data model to build a new model.This data model was based on online extreme learning machine (OS-ELM),with the purpose of reducing modeling errors of analytical model caused by leakage,uncer-tainty,disturbance,and so on.And new model became less dependent on full data as well.This new model firstly took advantages of the analytical model built with kinetic equation and physical modeling method,and then used the OSELM model to build the deviation model.The forging process model could evolve over time,to satisfy the demands of highly nonlinear and time varying forging process. The simulation results show that,new model can predict the dynamic behavior of forging process well,and has a better prediction precision compared to the solo model which exists as part of the newmodel.关键词
大型锻件/锻造过程/解析模型/在线极限学习机Key words
large forgings/forging process/analytical model/online sequential extreme learning machine (OSELM)分类
矿业与冶金引用本文复制引用
吕文兵,陆新江,黄明辉,雷杰,邹玮..集成机理与数据的复杂模锻过程在线建模方法[J].中国机械工程,2015,(9):1227-1232,6.基金项目
国家重点基础研究发展计划(973计划)资助项目(2011CB706802) （973计划）
国家自然科学基金资助项目(51205420) （51205420）
教育部新世纪优秀人才支持计划资助项目(NCET-13-0593) （NCET-13-0593）
湖南省自然科学基金资助项目(14JJ3011) （14JJ3011）
中南大学机电工程学院研究生创新项目(2014scxjj02) （2014scxjj02）
