摘要
以某6 MW大型风力发电机主机架为研究对象,运用ProCAST有限元分析软件进行数值模拟,成功预测出铸件中可能出现缩松缩孔的部位,并基于此对铸造工艺进行了优化,经过工厂生产实践验证,铸造出了符合交付条件的主机架铸件。本研究为大型风电球墨铸铁件的铸造工艺优化和缺陷预测提供了一种有效的方法,并为工业生产中的资源节约和质量保障作出了贡献。
Taking the mainframe of a 6 MW large-scale wind turbine generator as research object,and utilizing the ProCAST finite element analysis software to carry out numerical simulation,the potential shrinkage porosity and cavity locations in the casting were successfully predicted,and based on this,the casting process was optimized.After practical production verification at the factory,manufactured the mainframe casting products met the delivery requirements.This research provided an effective method for optimizing the casting process and predicting defects in large-scale wind turbine ductile iron castings,and contributed to resource conservation and quality assurance in industrial production.
作者
苏飞
汪东红
薛菁
邓小明
龚潜海
陈寅
疏达
SU Fei;WANG Dong-hong;XUE Jing;DENG Xiao-ming;GONG Qian-hai;CHEN Yin;SHU Da(School of Materials Science and Engineering,Shanghai University of Engineering Science,Shanghai 201620,China;School of Materials Science and Engineering,Shanghai Jiao Tong University,Key Laboratory of Advanced High-Temperature Materials and Precision Forming,Shanghai 200240,China;Zhejiang Jiali Wind Power Technology Co.,Ltd.,Hangzhou 310051,Zhejiang,China)
出处
《铸造》
2025年第1期91-97,共7页
Foundry
基金
浙江省重点研发计划(2022C01147)
上海市Ⅲ类高峰学科—材料科学与工程(高能束智能加工与绿色制造)。
关键词
风电主机架
球墨铸铁件
铸造工艺优化
数值模拟
wind turbine mainframe
nodular cast iron component
casting process optimization
numerical simulation
