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English(EN) Design for Manufacturing: A Manufacturability Knowledge-Integrated Reinforcement Learning Framework for Free-Form Pipe Routing in Aeroengines

AI框架优化航空发动机管道设计以适应制造

研究人员开发了一个名为FPRO的新型强化学习框架,用于优化航空发动机中自由曲面管道的设计和制造。该方法将特定领域的制造知识作为约束集成到强化学习过程中。FPRO生成的无碰撞、可制造的管道路径可以直接转换为六轴弯管机的制造指令,并通过实际验证展示了其可行性。 AI

影响 该框架可以简化航空发动机制造中复杂的管道布线过程,减少迭代时间并提高设计到制造的准确性。

排序理由 该集群包含一篇详细介绍新颖框架及其实验验证的学术论文。

在 arXiv cs.AI 阅读 →

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AI框架优化航空发动机管道设计以适应制造

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报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Caicheng Wang, Zili Wang, Shuyou Zhang, Yongzhe Xiang, Zheyi Li, Liangyou Li, Jianrong Tan ·

    面向制造的设计:用于航空发动机自由曲面管道布线的可制造性知识集成强化学习框架

    arXiv:2605.20644v1 Announce Type: cross Abstract: Design for manufacturing plays a critical role in advanced aeroengine development, where complex components necessitate careful consideration of manufacturability. However, current practices in pipe routing remain largely decouple…

  2. arXiv cs.AI TIER_1 English(EN) · Jianrong Tan ·

    面向制造的设计:一种用于航空发动机自由曲面管道布线的可制造性知识集成强化学习框架

    Design for manufacturing plays a critical role in advanced aeroengine development, where complex components necessitate careful consideration of manufacturability. However, current practices in pipe routing remain largely decoupled from down-stream manufacturing, leading to labor…