论文标题
使用变异自动编码器对微观结构与过程关系的数据库开发和探索
Database development and exploration of microstructure versus process relationships using variational autoencoders
论文作者
论文摘要
本文证明了使用变分自动编码器用于包含过程 - 微观结构关系的大数据库的图形表示。将微观结构特征与处理是回答过程序列设计困难问题的重要第一步。在本文中，构建了由各种过程序列产生的346,200方向分布函数的大数据库，其中每个序列最多包括四个阶段的张力，压缩和沿不同方向的滚动。该OpenSource数据库是为过程设计算法的协作开发而构建的。本文展示了大型数据库的新应用：纹理过程关系的图形表示。差异自动编码器用于将整个数据库减少到一个二维潜在空间，在该空间中可以看到过程和属性的变化。使用此潜在空间中的接近分析，我们可以快速发掘多个过程解决方案，以解决纹理或属性设计问题。
The paper demonstrates the use of variational autoencoders for graphical representation of a large database containing process-microstructure relationships. Correlating microstructural features to processing is an essential first step to answer the difficult problem of process sequence design. In this paper, a large database of 346,200 orientation distribution functions resulting from a variety of process sequences is constructed, where each sequence comprises up to four stages of tension, compression and rolling along different directions in various permutations. This opensource database is constructed for collaborative development of process design algorithms. The paper demonstrates a novel application of the large database: graphical representation of texture-process relationships. A variational autoencoder is used to reduce the entire database to a two dimensional latent space where variations in processes and properties can be visualized. Using proximity analysis in this latent space, we can quickly unearth multiple process solutions to the problem of texture or property design.
