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arXiv 2409.02648cond-mat.mtrl-scics.CV
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为多相合金设计创建具有丰富材料信息的微观结构潜空间

Creating a Microstructure Latent Space with Rich Material Information for Multiphase Alloy Design

Northeastern University(东北大学);The University of Hong Kong(香港大学)

Xudong Ma, Yuqi Zhang, Chenchong Wang, Ming Wang, Mingxin Huang, Wei Xu

AI总结:

本文提出一种以微观结构为中心的多相合金设计算法,利用变分自编码器将真实微观结构映射到潜空间并结合特定采样策略,实现成分、工艺和性能的精确预测与合金设计。

摘要:

复杂的微观结构是多相合金中成分/工艺-结构-性能(CPSP)关联的基石。传统的合金设计方法往往忽视微观结构细节,从而降低了结果的可靠性和有效性。本研究引入了一种改进的合金设计算法,该算法整合真实的微观结构信息以建立精确的CPSP关系。该方法利用基于变分自编码器的深度学习框架,将真实微观结构数据映射到潜空间,从而能够从潜空间向量预测成分、加工步骤和材料性能。通过将该深度学习模型与潜空间中的特定采样策略相结合,开发了一种新颖的、以微观结构为中心的多相合金设计算法。该算法通过统一双相钢的设计进行了演示,并在三个性能层面上对结果进行了评估。此外,对模型潜向量空间的探索突显了其无缝插值能力和丰富的材料信息内容。值得注意的是,当前潜空间的配置对合金设计尤为有利,提供了多相合金所必需的微观结构、成分、加工和性能变化的详尽表示。

英文摘要:

The intricate microstructure serves as the cornerstone for the composition/processing-structure-property (CPSP) connection in multiphase alloys. Traditional alloy design methods often overlook microstructural details, which diminishes the reliability and effectiveness of the outcomes. This study introduces an improved alloy design algorithm that integrates authentic microstructural information to establish precise CPSP relationships. The approach utilizes a deep-learning framework based on a variational autoencoder to map real microstructural data to a latent space, enabling the prediction of composition, processing steps, and material properties from the latent space vector. By integrating this deep learning model with a specific sampling strategy in the latent space, a novel, microstructure-centered algorithm for multiphase alloy design is developed. This algorithm is demonstrated through the design of a unified dual-phase steel, and the results are assessed at three performance levels. Moreover, an exploration into the latent vector space of the model highlights its seamless interpolation ability and its rich material information content. Notably, the current configuration of the latent space is particularly advantageous for alloy design, offering an exhaustive representation of microstructure, composition, processing, and property variations essential for multiphase alloys.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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