Research on Intelligent Casting Process Design of Rail Transit Steel Castings

Guoxiang Wang, Jun Wang, Jianzhong Li, Xianzhi Li, Song Cao

Research output: Contribution to conferencePaperpeer-review

Abstract

Due to the complex structure, large size, lightweight design and economic requirements of key steel castings in rail transit, high-strength casting materials are accompanied by a decline in casting processability, however the casting quality requirement is much higher, which greatly enhances the difficulty of casting process design. On the other hand, there is a relative shortage of experienced foundry process designers. Therefore, the intelligent design of casting process of rail transit parts is the only way to solve this problem. CRRC QiShuYan Institute Co., Ltd has gradually applied digital casting technology since the 1990s, The integrated application of CAD/CAE/CAM greatly improves the accuracy and efficiency of casting process design. We study the application of AI on steel casting process design, step-by-step, we use while building, on the basis of expert system, we have built a core knowledge database. We study intelligent defect detection of castings. Then tracing the defect results to the corresponding process parameters used through the MES system and AVI system. The next step is to study the combined technology of AI+CAE.

Original languageEnglish
Pages584-585
Number of pages2
StatePublished - 2024
Externally publishedYes
Event75th World Foundry Congress, WFC 2024 - Deyang, China
Duration: 25 Oct 202430 Oct 2024

Conference

Conference75th World Foundry Congress, WFC 2024
Country/TerritoryChina
CityDeyang
Period25/10/2430/10/24

Keywords

  • AI
  • casting process design
  • rail transit castings
  • steel castings

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