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人工神经网络在铸造工艺中的应用及展望

邵缘家庆 钱陈豪

金属加工(热加工)Issue(6):13-21,9.
金属加工(热加工)Issue(6):13-21,9.

人工神经网络在铸造工艺中的应用及展望

Application and prospect of artificial neural networks in casting technology

邵缘家庆 1钱陈豪1

作者信息

  • 1. 江南大学机械工程学院 江苏无锡 214122
  • 折叠

摘要

Abstract

Casting,as one of the core processes in metalworking,has long been confronted with challenges such as low production efficiency,insufficient quality stability,and strong reliance on experience.With the rapid development of artificial intelligence technology,artificial neural networks(ANN),with their powerful nonlinear modeling,self-learning,and generalization capabilities,have provided innovative solutions for the intelligent optimization of casting processes.Systematically reviews the research progress and application achievements of ANN in typical casting processes such as sand casting,die casting,continuous casting,centrifugal casting,and investment casting,and looks forward to future research.It concludes that future efforts should focus on the construction of lightweight models,integration with industrial Internet of Things,and cross-disciplinary technology integration to promote the evolution of casting processes towards intelligence,high precision,and sustainability.

关键词

铸造/人工神经网络/工艺优化

Key words

casting/artificial neural network/process optimization

引用本文复制引用

邵缘家庆,钱陈豪..人工神经网络在铸造工艺中的应用及展望[J].金属加工(热加工),2025,(6):13-21,9.

基金项目

国家自然科学基金(51905215). (51905215)

金属加工(热加工)

1674-165X

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