用 ANN 增强确定和数值模型整合活化能和齐纳-霍洛蒙参数,以评估 AA6082 轮锻件的微观结构演化

IF 4.4 3区 工程技术 Q1 ENGINEERING, CIVIL Archives of Civil and Mechanical Engineering Pub Date : 2024-10-29 DOI:10.1007/s43452-024-01073-7
Imang Eko Saputro, Chun-Nan Lin, Intan Mardiono, Hsuan-Fan Chen, Junwei Chen, Marlon Ho, Yiin-Kuen Fuh
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引用次数: 0

摘要

本研究将活化能(Q)和齐纳-霍洛蒙参数(Z)这两个阿伦尼乌斯构成模型参数整合到一个数值模型中,以评估它们与 AA6082 车轮锻造微观结构演变的相关性。为建立 AA6082 材料的构成模型,使用 Gleeble 机器进行了等温试验,变形温度和应变速率分别为 350-560 °C 和 0.05-15 s-1。采用了两种阿伦尼乌斯方法:应变补偿阿伦尼乌斯和人工神经网络(ANN)增强阿伦尼乌斯。这两种方法的主要区别在于,前者在确定活化能(Q)值时忽略了变形温度和应变速率的影响,而后者则考虑了这些因素。通过直接输入应变补偿阿伦尼乌斯法的数学方程,将活化能和齐纳-霍洛蒙参数整合到数值模型中,会导致某些节点和元素出现明显的过拟合。为了解决这个问题,一种新的方法被证明是有效的,这种新方法在由 ANN-Arrhenius 方法生成的 Q 值上使用了三线性插值和基于行为的箝位方法。此外,ANN-Arrhenius 方法还表现出更高的准确性,将预测的平均绝对相对误差(AARE)从 3.14%(应变补偿 Arrhenius 方法)降至 1.10%。通过对数值模型模拟中 Q 值和 Z 值的分布以及光学显微镜检测的平均晶粒尺寸和形状进行比较研究,发现 Q 参数和 Z 参数有利于预测最终工件的晶粒特征。这项研究旨在弥补在更现实的锻造场景和更复杂的工件设计中实施活化能和齐纳-霍洛蒙参数方面的差距。
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ANN-enhanced determination and numerical model integration of activation energy and Zener–Hollomon parameter to evaluate microstructure evolution of AA6082 wheel forging

This study presents the integration of two Arrhenius-constitutive model parameters, activation energy (Q) and the Zener–Hollomon parameter (Z), into a numerical model to evaluate their correlation with the microstructural evolution of AA6082 wheel forging. Isothermal tests powered by a Gleeble machine were conducted to establish the constitutive model of AA6082 material, with deformation temperatures and strain rates varying between 350–560 °C and 0.05–15 s⁻1, respectively. Two types of Arrhenius methods were employed: strain-compensated Arrhenius and artificial neural network (ANN)-enhanced Arrhenius. The key difference between the two methods is that the former ignores the effects of deformation temperature and strain rate when determining the activation energy (Q) value, while the latter considers these factors. Integrating activation energy and Zener–Hollomon parameters into a numerical model by directly inputting the mathematical equation from the strain-compensated Arrhenius method resulted in significant overfitting at certain nodes and elements. To address this issue, a new approach using trilinear interpolation and behavior-based clamping methods on Q values generated by the ANN–Arrhenius method proved effective. Additionally, the ANN–Arrhenius method demonstrated superior accuracy, reducing the prediction’s average absolute relative error (AARE) from 3.14% (strain-compensated Arrhenius method) to 1.10%. A comparative study of the distribution of Q and Z values in numerical model simulations, alongside average grain size and shape examined with an optical microscope, revealed that the Q and Z parameters are beneficial for predicting grain characteristics in final workpieces. This study aims to bridge the gap in implementing activation energy and Zener–Hollomon parameters in more realistic forging scenarios and with more complex workpiece designs.

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来源期刊
Archives of Civil and Mechanical Engineering
Archives of Civil and Mechanical Engineering 工程技术-材料科学:综合
CiteScore
6.80
自引率
9.10%
发文量
201
审稿时长
4 months
期刊介绍: Archives of Civil and Mechanical Engineering (ACME) publishes both theoretical and experimental original research articles which explore or exploit new ideas and techniques in three main areas: structural engineering, mechanics of materials and materials science. The aim of the journal is to advance science related to structural engineering focusing on structures, machines and mechanical systems. The journal also promotes advancement in the area of mechanics of materials, by publishing most recent findings in elasticity, plasticity, rheology, fatigue and fracture mechanics. The third area the journal is concentrating on is materials science, with emphasis on metals, composites, etc., their structures and properties as well as methods of evaluation. In addition to research papers, the Editorial Board welcomes state-of-the-art reviews on specialized topics. All such articles have to be sent to the Editor-in-Chief before submission for pre-submission review process. Only articles approved by the Editor-in-Chief in pre-submission process can be submitted to the journal for further processing. Approval in pre-submission stage doesn''t guarantee acceptance for publication as all papers are subject to a regular referee procedure.
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