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基于混合有限元-响应面法的聚合物复合材料压缩天然气罐优化疲劳设计

An Optimum Fatigue Design of Polymer Composite Compressed Natural Gas Tank Using Hybrid Finite Element-Response Surface Methods.

作者信息

Kashyzadeh Kazem Reza, Rahimian Koloor Seyed Saeid, Omidi Bidgoli Mostafa, Petrů Michal, Amiri Asfarjani Alireza

机构信息

Department of Transport, Academy of Engineering, Peoples' Friendship University of Russia (RUDN University), 6 Miklukho-Maklaya Street, 117198 Moscow, Russia.

Department of Mechanical and Instrumental Engineering, Academy of Engineering, Peoples' Friendship University of Russia (RUDN University), 6 Miklukho-Maklaya Street, 117198 Moscow, Russia.

出版信息

Polymers (Basel). 2021 Feb 3;13(4):483. doi: 10.3390/polym13040483.

DOI:10.3390/polym13040483
PMID:33546387
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7913581/
Abstract

The main purpose of this research is to design a high-fatigue performance hoop wrapped compressed natural gas (CNG) composite cylinder. To this end, an optimization algorithm was presented as a combination of finite element simulation (FES) and response surface analysis (RSA). The geometrical model was prepared as a variable wall-thickness following the experimental measurements. Next, transient dynamic analysis was performed subjected to the refueling process, including the minimum and maximum internal pressures of 20 and 200 bar, respectively. The time histories of stress tensor components were extracted in the critical region. Furthermore, RSA was utilized to investigate the interaction effects of various polymer composite shell manufacturing process parameters (thickness and fiber angle) on the fatigue life of polymer composite CNG pressure tank (type-4). In the optimization procedure, four parameters including wall-thickness of the composite shell in three different sections of the CNG tank and fiber angle were considered as input variables. In addition, the maximum principal stress of the component was considered as the objective function. Eventually, the fatigue life of the polymer composite tank was calculated using stress-based failure criterion. The results indicated that the proposed new design (applying optimal parameters) leads to improve the fatigue life of the polymer composite tank with polyethylene liner about 2.4 times in comparison with the initial design.

摘要

本研究的主要目的是设计一种具有高疲劳性能的环向缠绕压缩天然气(CNG)复合气瓶。为此,提出了一种将有限元模拟(FES)和响应面分析(RSA)相结合的优化算法。根据实验测量结果,将几何模型制备为变壁厚模型。接下来,对加气过程进行瞬态动力学分析,加气过程中的最小和最大内部压力分别为20 bar和200 bar。在关键区域提取应力张量分量的时间历程。此外,利用响应面分析来研究各种聚合物复合壳制造工艺参数(厚度和纤维角度)对聚合物复合CNG压力罐(4型)疲劳寿命的交互作用。在优化过程中,将CNG罐三个不同部位的复合壳壁厚和纤维角度这四个参数作为输入变量。此外,将部件的最大主应力作为目标函数。最终,使用基于应力的失效准则计算聚合物复合罐的疲劳寿命。结果表明,与初始设计相比,所提出的新设计(应用最优参数)使带有聚乙烯内衬的聚合物复合罐的疲劳寿命提高了约2.4倍。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/952d/7913581/3d893e5e1c61/polymers-13-00483-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/952d/7913581/45f55f8f3443/polymers-13-00483-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/952d/7913581/b8648a691685/polymers-13-00483-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/952d/7913581/d578ae4cb1f7/polymers-13-00483-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/952d/7913581/a2e5656dc1d8/polymers-13-00483-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/952d/7913581/dad5edffa45b/polymers-13-00483-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/952d/7913581/7e3ef350fdfd/polymers-13-00483-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/952d/7913581/2b96a9543427/polymers-13-00483-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/952d/7913581/27d94c428c49/polymers-13-00483-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/952d/7913581/902ee98f47c8/polymers-13-00483-g009a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/952d/7913581/3d893e5e1c61/polymers-13-00483-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/952d/7913581/45f55f8f3443/polymers-13-00483-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/952d/7913581/b8648a691685/polymers-13-00483-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/952d/7913581/d578ae4cb1f7/polymers-13-00483-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/952d/7913581/a2e5656dc1d8/polymers-13-00483-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/952d/7913581/dad5edffa45b/polymers-13-00483-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/952d/7913581/7e3ef350fdfd/polymers-13-00483-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/952d/7913581/2b96a9543427/polymers-13-00483-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/952d/7913581/27d94c428c49/polymers-13-00483-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/952d/7913581/902ee98f47c8/polymers-13-00483-g009a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/952d/7913581/3d893e5e1c61/polymers-13-00483-g010.jpg

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