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用于聚醚酮酮粉末冷压实的密度依赖型修正多拉伊韦卢模型

A Density-Dependent Modified Doraivelu Model for the Cold Compaction of Poly (Ether Ketone Ketone) Powders.

作者信息

Xu Fan, Wang Huixiong, Wu Xuelian, Ye Zihao, Liu Hong

机构信息

School of Mechanical Engineering, Jiangsu University, Zhenjiang 212000, China.

School of Mechanical Engineering and Automation, University of Science and Technology Liaoning, Anshan 114051, China.

出版信息

Polymers (Basel). 2022 Mar 21;14(6):1270. doi: 10.3390/polym14061270.

DOI:10.3390/polym14061270
PMID:35335600
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8954122/
Abstract

The cold compaction of poly (ether ketone ketone) (PEKK) powder was studied by experiments and simulations based on the modified Doraivelu model. Although this model can successfully predict the compaction behavior of metal powders, discussion of the prediction of polymer powders is lacking. Based on the mechanical theory of metal plasticity, the modified Doraivelu model was established by introducing the material parameters and . The modified model can predict the compaction density of PEKK powder during cold compaction. A sub-increment method for this constitutive model was then established and implemented into a finite-element model by using the user-defined material subroutine UMAT in ABAQUS/Standard. Consequently, the material parameters of the modified Doraivelu model were identified by an inverse method using the experimental data and simulation results. It was found that when = 0, = 4, and the initial relative density was 0.4485, the simulation results were the closest to the experimental ones.

摘要

基于改进的多拉伊韦卢模型,通过实验和模拟研究了聚醚酮酮(PEKK)粉末的冷压实。尽管该模型能够成功预测金属粉末的压实行为,但缺乏对聚合物粉末预测的讨论。基于金属塑性力学理论,通过引入材料参数和建立了改进的多拉伊韦卢模型。改进后的模型可以预测PEKK粉末在冷压实过程中的压实密度。然后建立了该本构模型的子增量法,并通过使用ABAQUS/Standard中的用户定义材料子程序UMAT将其应用于有限元模型。因此,利用实验数据和模拟结果,通过反演法确定了改进的多拉伊韦卢模型的材料参数。结果发现,当=0,=4,初始相对密度为0.4485时,模拟结果与实验结果最为接近。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/091d/8954122/b4f2fb9fac8d/polymers-14-01270-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/091d/8954122/18831fc842f6/polymers-14-01270-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/091d/8954122/e8ce87b7aee5/polymers-14-01270-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/091d/8954122/a6229f76928d/polymers-14-01270-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/091d/8954122/5427a9beeeb2/polymers-14-01270-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/091d/8954122/3e9372039591/polymers-14-01270-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/091d/8954122/1f6d509274c4/polymers-14-01270-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/091d/8954122/5256418716d7/polymers-14-01270-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/091d/8954122/11522f1e0566/polymers-14-01270-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/091d/8954122/e8da78f8120b/polymers-14-01270-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/091d/8954122/b4f2fb9fac8d/polymers-14-01270-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/091d/8954122/18831fc842f6/polymers-14-01270-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/091d/8954122/0e4900b792dd/polymers-14-01270-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/091d/8954122/75854a3fac36/polymers-14-01270-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/091d/8954122/e8ce87b7aee5/polymers-14-01270-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/091d/8954122/a6229f76928d/polymers-14-01270-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/091d/8954122/5427a9beeeb2/polymers-14-01270-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/091d/8954122/3e9372039591/polymers-14-01270-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/091d/8954122/1f6d509274c4/polymers-14-01270-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/091d/8954122/5256418716d7/polymers-14-01270-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/091d/8954122/11522f1e0566/polymers-14-01270-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/091d/8954122/e8da78f8120b/polymers-14-01270-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/091d/8954122/b4f2fb9fac8d/polymers-14-01270-g012.jpg

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