基于三种机器学习方法预测新型双相钛合金的流动和动态再结晶行为

IF 4.3 2区 材料科学 Q2 CHEMISTRY, PHYSICAL Intermetallics Pub Date : 2024-10-07 DOI:10.1016/j.intermet.2024.108523
Shuai Zhang , Haoyu Zhang , Chuan Wang , Ge Zhou , Jun Cheng , Zhongshi Zhang , Xiaohu Wang , Lijia Chen
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引用次数: 0

摘要

本研究采用真空电弧熔炼法制备了 Ti-10V-5Al-2.5Fe-0.1B 合金。在 770-920 °C 的温度范围内,以 0.0005-0.5 s-1 的应变速率对合金进行了单程等温压缩实验。针对流动应力的高精度预测,建立了秃鹰搜索算法优化的 BP 模型(BES-BP)、麻雀搜索算法优化的 BP 模型(SSA-BP)和灰狼优化算法优化的 BP 模型(GWO-BP)。采用均方相关系数、均方根误差和预测与实验流量应力的平均绝对相对误差对上述模型进行了比较。这三个预测精度参数表明,BES-BP 模型在已知工艺参数和新工艺参数下的流动应力预测精度更高。利用 BES-BP 模型框架下预测的流动应力,绘制了基于动态材料模型的热加工图,并进行了 EBSD 分析。结果表明,动态再结晶程度随功率耗散因子的增加而增加,变形带的形成是不稳定的主要原因。在 890 °C/0.0005 s-1 条件下,诱导合金动态再结晶的最小临界应力为 13.13 MPa。此外,功率耗散因数随着临界应力的降低而增加。此外,微观结构验证数据显示,动态再结晶模型对临界应力的预测具有很高的准确性,证实了临界应力随着动态再结晶分数的降低而增加。
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Prediction of flow and dynamic recrystallization behavior based on three machine learning methods for a novel duplex-phase titanium alloy
In this work, the vacuum arc-melting was used to prepare the Ti-10V-5Al-2.5Fe-0.1B alloy. Single-pass isothermal compression experiments were carried out on the alloy in the temperature range of 770–920 °C at strain rates of 0.0005–0.5 s−1. The BP model optimized by the bald eagle search algorithm (BES-BP), the BP model optimized by the sparrow search algorithm (SSA-BP), and the BP model optimized by the gray wolf optimization algorithm (GWO-BP) were developed for high-precision prediction of flow stress. The above models were compared by using the mean square correlation coefficient, root mean square error, and average absolute relative error between the predicted and experimental flow stress. The three prediction accuracy parameters have indicated that the BES-BP model has a higher accuracy for flow stress prediction at the known and the new process parameters. A hot processing map based on the dynamic materials model was developed by using the flow stress predicted in the framework of the BES-BP model, and EBSD analysis was performed as well. The results show that the degree of dynamic recrystallization increases with an increase in the power dissipation factor, and the formation of deformation bands is the main cause of instability. The minimum critical stress for inducing dynamic recrystallization of the alloy was found to be 13.13 MPa at 890 °C/0.0005 s−1. Moreover, the power dissipation factor increases with a decrease in critical stress. In addition, microstructure validation data reveal that the dynamic recrystallization model has a high accuracy for critical stress prediction, confirming that the critical stress increases with a decrease in the dynamic recrystallization fraction.
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来源期刊
Intermetallics
Intermetallics 工程技术-材料科学:综合
CiteScore
7.80
自引率
9.10%
发文量
291
审稿时长
37 days
期刊介绍: This journal is a platform for publishing innovative research and overviews for advancing our understanding of the structure, property, and functionality of complex metallic alloys, including intermetallics, metallic glasses, and high entropy alloys. The journal reports the science and engineering of metallic materials in the following aspects: Theories and experiments which address the relationship between property and structure in all length scales. Physical modeling and numerical simulations which provide a comprehensive understanding of experimental observations. Stimulated methodologies to characterize the structure and chemistry of materials that correlate the properties. Technological applications resulting from the understanding of property-structure relationship in materials. Novel and cutting-edge results warranting rapid communication. The journal also publishes special issues on selected topics and overviews by invitation only.
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