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Automatic Intelligent Casting Process Design Coupled Numerical Simulation with Artificial Intelligence

机译:数值模拟与人工智能相结合的自动智能铸造工艺设计

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摘要

The goal of the research focuses on automatic intelligent casting process design technology. Namely,rnsatisfied casting process scheme will be designed automatically without any manual acting completely. In this paper,a newrnframework is set up coupled numerical simulation(CAE) with artificial intelligence (Al) to realize the goal. In detail, castingrnprocess is optimized by artificial intelligence and evaluated by numerical simulation respectively.rnSome key techniques are developed such as automatic simulation, quantitative casting defect prediction, artificialrnintelligent optimization, automatic 3D geometry modeling, data transfer between CAE and CAD and so on. Among them,rnquantitative casting defect prediction and artificial intelligent optimization are the footstones. Accurate quantitative castingrndefect prediction provides the precondition for the optimization, and reliable optimization ensures the performance of castingrnprocess design. Therefore, quantitative shrinkage defect is predicted based on dynamic feeding analysis technology, airrnentrapment and slag inclusion are forecasted quantitatively by multi - phase fluid field simulation technology.rnFinally,as a testing object, the riser system of a simple steel casting is designed by the technology automatically. Therncasting is poured and the result proves the new technology can be used to optimize the foundry process with high efficiency.rnIt also shows the bright future of the new technology.
机译:研究的目标集中在自动智能铸造工艺设计技术上。即,可以自动设计出令人满意的铸造工艺方案,而无需任何人工操作。本文建立了一种新的框架,将数值模拟(CAE)与人工智能(Al)结合起来以实现目标。详细地讲,铸造工艺是通过人工智能进行优化的,并分别通过数值模拟进行评估。开发了一些关键技术,例如自动仿真,定量铸造缺陷预测,人工智能优化,自动3D几何建模,CAE和CAD之间的数据传输等。其中,定量铸件缺陷预测和人工智能优化是基石。准确的定量铸件缺陷预测为优化提供了前提,可靠的优化保证了铸件工艺设计的性能。因此,基于动态进料分析技术,可以预测出定量的收缩缺陷,并利用多相流场模拟技术来定量地预测气固性和夹杂物。最后,作为测试对象,该技术设计了一种简单的铸钢冒口系统。自动。浇注的结果表明该新技术可用于高效地优化铸造工艺。这也显示了该新技术的光明前景。

著录项

  • 来源
  • 会议地点 Hangzhou(CN);Hangzhou(CN)
  • 作者单位

    State Key Lab, of Materials Process and Die Mould Technology,Huazhong University of Science and Technology,Wuhan 430074, China E-mail: liliangchen@mail.hust.edu.cn;

    State Key Lab, of Materials Process and Die Mould Technology,Huazhong University of Science and Technology,Wuhan 430074, China;

    State Key Lab, of Materials Process and Die Mould Technology,Huazhong University of Science and Technology,Wuhan 430074, China;

    State Key Lab, of Materials Process and Die Mould Technology,Huazhong University of Science and Technology,Wuhan 430074, China;

    State Key Lab, of Materials Process and Die Mould Technology,Huazhong University of Science and Technology,Wuhan 430074, China;

    State Key Lab, of Materials Process and Die Mould Technology,Huazhong University of Science and Technology,Wuhan 430074, China;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 铸造;
  • 关键词

    casting process design; numerical simulation; artificial Intelligence; casting defect prediction; CAD/CAE/Al integration;

    机译:铸造工艺设计;数值模拟;人工智能;铸造缺陷预测; CAD / CAE / Al集成;

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