模具技术Issue(2)：53-59,7.
基于机器学习的发动机缸体锥齿轮塑性成型工艺研究
Research on plastic forming process of engine cylinder cone gear based on machine learning
摘要
Abstract
To improve the quality of plastic forming production of engine cylinder bevel gears,a machine learning based plastic forming process is studied.Design the plastic forming process of the engine cylinder body bevel gear to ensure that each step meets the material characteristics and product requirements.Utilize the principal component analysis method in machine learning to obtain the main process parameters,and prepare plastic formed parts based on the obtained process parameters.By simulating the actual forming process,the possible problems can be predicted and the process parameters can be adjusted in advance.Using deep learning methods to detect defects in plastic formed parts to ensure product quality meets standards.The experimental results show that the plastic formed parts prepared by extracting process parameters using principal component analysis method have hardness,tensile strength,yield strength,and elongation at break that are close to or slightly higher than the design values;The mechanical performance test results are basically consistent with the expected situation during the initial design,which can significantly improve the efficiency and success rate of plastic forming;Capable of accurately detecting various defects in plastic formed parts,ensuring the quality of plastic formed parts.关键词
机器学习/塑性成型/原材料/主成分分析/工艺参数/缺陷检测Key words
machine learning/plastic forming/raw material/principal component analysis/process parameters/defect detection分类
金属材料引用本文复制引用
王荔檬,杨铨..基于机器学习的发动机缸体锥齿轮塑性成型工艺研究[J].模具技术,2025,(2):53-59,7.基金项目
广西重点研发计划:机械门锁复合防盗锁芯结构及其防盗方法的研究与应用(编号:2023AB01165) （编号:2023AB01165）
广西重点研发计划:智慧农机动力域控制系统关键技术开发及应用(编号:2021AB01008). （编号:2021AB01008）
