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基于图形的过程模型作为高效数据驱动替代品的基础 - 加快材料开发过程
Johannes Gerritzen1, Andreas Hornig1,2,3, Maik Gude1
1Institute of Lightweight Engineering and Polymer Technology (ILK), TUD Dresden University of Technology, Holbeinstr. 3, Dresden, 01307, Germany.
概括
本研究引入了一种新的方法来表示材料开发过程 (MDPs),使用基于图形的模型和"流动物". 这种方法通过实现数据驱动的建模和优化来加速材料开发.
科学领域:
- 材料科学与工程 材料科学与工程
- 计算材料科学科学 计算材料科学
- 过程建模和优化过程
背景情况:
- 复杂性和成本压力的增加需要更高效的材料开发过程.
- 材料开发中的传统实验方法耗时且昂贵,造成了严重的瓶.
- 数据驱动模型正在获得引力,但需要结构化的流程表示来进行有效的培训.
研究的目的:
- 提出一种新的形式主义,以有效地表示材料开发过程 (MDP).
- 为了证明这种形式主义在高模块钢 (HMS) 的开发中的应用.
- 通过数据驱动的建模和反向优化加速MDP.
主要方法:
- 开发了一种形式主义,结合了基于图形的流程模型和"流动物"概念.
- 从获得的数据中推导出MDP的定向非循环图 (DAG) 表示.
- 使用衍生数据库训练了各种黑子代孕模型,并根据RMSE选择了最佳模型.
主要成果:
- 成功获得了高模块钢 (HMS) 开发过程的结构化 DAG 表示.
- 训练和评估多个代孕模型,通过RMSE识别表现最佳的模型.
- 利用选择的模型进行反向优化,在设计约束下最大限度地提高特定模量.
结论:
- 拟议的形式主义使材料开发过程中有效的数据表示成为可能.
- 数据驱动的替代模型加速了材料开发中的决策和优化.
- 这种方法具有显著的潜力,可以减少材料工程中的开发周期和成本.
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