基于仿真模型的固态储氢材料腐蚀可靠性评估方法

张浩, 谢朝阳

装备环境工程 ›› 2024, Vol. 21 ›› Issue (6) : 127-135.

PDF(4294 KB)
PDF(4294 KB)
装备环境工程 ›› 2024, Vol. 21 ›› Issue (6) : 127-135. DOI: 10.7643/ issn.1672-9242.2024.06.017
重大工程装备

基于仿真模型的固态储氢材料腐蚀可靠性评估方法

  • 张浩1, 谢朝阳2*
作者信息 +

Corrosion Reliability Assessment Method of Solid Hydrogen Storage Materials Based on Simulation Model

  • ZHANG Hao1, XIE Chaoyang2*
Author information +
文章历史 +

摘要

目的 对含涂层金属氢化物储氢结构的腐蚀可靠性进行建模和评估,支撑固态储氢结构的可靠性设计与预防性维修。方法 通过分析含涂层金属氢化物基体结构腐蚀的物理化学过程,建立腐蚀失效的多物理仿真模型,并进行影响因素分析。基于仿真模型产生的数据,将含涂层金属氢化物结构的潮解性能退化离散化为若干状态,并建立多状态退化的马尔可夫模型,进行腐蚀可靠性评估。结果 获得了涂层孔隙率、涂层厚度、相对湿度、环境温度对固态储氢结构腐蚀可靠性影响重要度分析结果,利用提出的方法可以对含有机涂层氢化物结构在不同温度、湿度和保护材料参数下的腐蚀可靠性进行评估。结论 涂层孔隙率的变化对固态储氢材料腐蚀可靠性的影响最为关键。基于失效物理模型和多状态可靠性理论建立的固态储氢材料腐蚀可靠性评估方法,可以实现储氢材料长期腐蚀可靠性的评估,对于金属氢化物等类似产品的腐蚀可靠性具有较好的适用性。

Abstract

The work aims to model and evaluate the corrosion reliability of coating-containing metal hydride hydrogen storage structures to support the reliability design and preventive maintenance of solid-state hydrogen storage structures. A multi-physics simulation model of corrosion failure was established by analyzing the physicochemical process of corrosion of coating-containing metal hydride substrate structures and the affecting factors were analyzed. Based on the data generated by the simulation model, the deliquescent property degradation of the coating-containing metal hydride structure was discretized into several states, and a Markov model of multi-state degradation was established for corrosion reliability assessment. The results of the significance analysis of the effects of coating porosity, coating thickness, relative humidity, and ambient temperature on the corrosion reliability of solid-state hydrogen storage structures were obtained, and the corrosion reliability of organic coating-containing hydride structures was evaluated at different temperature, humidity, and parameter of the protective materials by the proposed method. The change of coating porosity has the most critical effect on the corrosion reliability of solid-state hydrogen storage materials, and the corrosion reliability assessment method of solid-state hydrogen storage materials established based on the failure physical model and multi-state reliability theory in this work can realize the assessment of long-term corrosion reliability of hydrogen storage materials, and it has good applicability to the corrosion reliability of metal hydrides, etc.

关键词

有机涂层 / 氢化物 / 腐蚀 / 耦合模拟 / 多物理场建模 / 可靠性评估

Key words

organic coatings / hydrides / corrosion / coupled simulation / multi-physics molding / reliability assessment

引用本文

导出引用
张浩, 谢朝阳. 基于仿真模型的固态储氢材料腐蚀可靠性评估方法[J]. 装备环境工程. 2024, 21(6): 127-135 https://doi.org/10.7643/ issn.1672-9242.2024.06.017
ZHANG Hao, XIE Chaoyang. Corrosion Reliability Assessment Method of Solid Hydrogen Storage Materials Based on Simulation Model[J]. Equipment Environmental Engineering. 2024, 21(6): 127-135 https://doi.org/10.7643/ issn.1672-9242.2024.06.017
中图分类号: TG172   

参考文献

[1] MIRZAEE M, ABADCHI M R, FATEH A, et al.Investigation of Corrosion Properties of Modified Epoxy and Polyurethane Organic Coating on Steel Substrate[J]. Progress in Color, Colorants and Coatings, 2022, 15(1): 25-36.
[2] ZHANG H, HUANG X M, TAO J, et al.Corrosion Resistance and Mechanical Properties of Coating/Steel Substrate System in Acid Rain Environment[J]. Journal of Constructional Steel Research, 2023, 201: 107740.
[3] 霍俊芳, 李海青, 郝贠洪, 等. 钢结构聚氨酯涂层力学性能及抗冲击性能的有限元分析[J]. 腐蚀与防护, 2022, 43(8): 80-85.
HUO J F, LI H Q, HAO Y H, et al.Finite Element Analysis of Mechanical Properties and Impact Resistance of Polyurethane Coatings on Steel Structures[J]. Corrosion & Protection, 2022, 43(8): 80-85.
[4] WANG H, XU J H, DU X S, et al.Stretchable and Self-Healing Polyurethane Coating with Synergistic Anticorrosion Effect for the Corrosion Protection of Stainless Steels[J]. Progress in Organic Coatings, 2022, 164: 106672.
[5] LIU Z C, GUEDES SOARES C.Sensitivity Analysis of the Cage Volume and Mooring Forces for a Gravity Cage Subjected to Current and Waves[J]. Ocean Engineering, 2023, 287: 115715.
[6] ZHANG B B, YAN J Y, XU W C, et al.Robust, Scalable and Fluorine-Free Superhydrophobic Anti-Corrosion Coating with Shielding Functions in Marine Submerged and Atmospheric Zones[J]. Materials & Design, 2022, 223: 111246.
[7] LI X W, YAN J Y, YU T, et al.Versatile Nonfluorinated Superhydrophobic Coating with Self-Cleaning, Anti-Fouling, Anti-Corrosion and Mechanical Stability[J]. Colloids and Surfaces A: Physicochemical and Engineering Aspects, 2022, 642: 128701.
[8] HUANG T D, SHAO Z D, XIAHOU T F, et al.An Evidential Network Approach to Reliability Assessment by Aggregating System-Level Imprecise Knowledge[J]. Quality and Reliability Engineering International, 2023, 39(5): 1863-1877.
[9] LI H, GUEDES SOARES C.Assessment of Failure Rates and Reliability of Floating Offshore Wind Turbines[J]. Reliability Engineering & System Safety, 2022, 228: 108777.
[10] 钱华明, 黄土地, 黄洪钟, 等. 小失效概率和多失效模式相关的结构可靠性分析方法[J]. 中国科学: 物理学力学天文学, 2022, 52(2): 58-68.
QIAN H M, HUANG T D, HUANG H Z, et al.Structural Reliability Analysis for a Small Failure Probability Problem under Multiple Failure Modes[J]. Scientia Sinica (Physica, Mechanica & Astronomica), 2022, 52(2): 58-68.
[11] 贵宾华, 周晖, 郑军, 等. 偏压对MPP制备AlTiSiN纳米复合涂层结构及性能的影响[J]. 表面技术, 2020, 49(1): 228-236.
GUI B H, ZHOU H, ZHENG J, et al.Influence of Bias Voltage on Microstructure and Properties of AlTiSiN Nanocomposite Coatings Prepared by MPP[J]. Surface Technology, 2020, 49(1): 228-236.
[12] JACQUES L F E. Accelerated and Outdoor/Natural Exposure Testing of Coatings[J]. Progress in Polymer Science, 2000, 25(9): 1337-1362.
[13] YIN B, WU C, HOU D S, et al.Research and Application Progress of Nano-Modified Coating in Improving the Durability of Cement-Based Materials[J]. Progress in Organic Coatings, 2021, 161: 106529.
[14] KADA I, TRINH D, MALLARINO S, et al.Physical Ageing Effect on Water Uptake and Adhesion of Epoxy Coatings by EIS and the Blister Test[J]. Electrochimica Acta, 2023, 454: 142381.
[15] GISLON P, PROSINI P P.Devices for Producing Hydrogen via NaBH4 and LiH Hydrolysis[J]. International Journal of Hydrogen Energy, 2011, 36(1): 240-246.
[16] GUICHARD J, BOUYER F, SCIORA E, et al.Hydrolysis of Lithium Hydride under Low Relative Humidity[J]. International Journal of Hydrogen Energy, 2015, 40(37): 12736-12744.
[17] PERERA D Y.Effect of Thermal and Hygroscopic History on Physical Ageing of Organic Coatings[J]. Progress in Organic Coatings, 2002, 44(1): 55-62.
[18] BAUER D R.Global Exposure Models for Automotive Coating Photo-Oxidation[J]. Polymer Degradation and Stability, 2000, 69(3): 297-306.
[19] OURY A, NAMY P, BELLAT J P, et al.Modeling of the Lithium Hydride Hydrolysis under Low Relative Humidity[J]. International Journal of Hydrogen Energy, 2017, 42(33): 21105-21113.
[20] 吴俊杰. 基于失效机理的有机涂层-基体结构退化建模与可靠性评估[D]. 成都: 电子科技大学, 2021.
WU J J.Reliability Assessment for Organic Coating-Substrate with Failure Mechanism[D]. Chengdu: University of Electronic Science and Technology of China, 2021.
[21] 王同海, 张翠美, 赵季若, 等. 氢化钠/马来酸酐体系改性天然橡胶的制备及性能[J]. 合成橡胶工业, 2017, 40(2): 94-98.
WANG T H, ZHANG C M, ZHAO J R, et al.Preparation and Properties of Natural Rubber Modified with Sodium Hydride/Maleic Anhydride System[J]. China Synthetic Rubber Industry, 2017, 40(2): 94-98.
[22] 黄洋洋, 方淳, 黄云辉. 高性能低成本钠离子电池电极材料研究进展[J]. 硅酸盐学报, 2021, 49(2): 256-271.
HUANG Y Y, FANG C, HUANG Y H.Recent Development on Electrode Materials with High Performance and Low Cost for Sodium-Ion Batteries[J]. Journal of the Chinese Ceramic Society, 2021, 49(2): 256-271.
[23] 朱晟, 彭怡婷, 闵宇霖, 等. 电化学储能材料及储能技术研究进展[J]. 化工进展, 2021, 40(9): 4837-4852.
ZHU S, PENG Y T, MIN Y L, et al.Research Progress on Materials and Technologies for Electrochemical Energy Storage[J]. Chemical Industry and Engineering Progress, 2021, 40(9): 4837-4852.
[24] MASIAS A, MARCICKI J, PAXTON W A.Opportunities and Challenges of Lithium Ion Batteries in Automotive Applications[J]. ACS Energy Letters, 2021, 6(2): 621-630.
[25] BAE H, KIM Y.Technologies of Lithium Recycling from Waste Lithium Ion Batteries: A Review[J]. Materials Advances, 2021, 2(10): 3234-3250.
[26] ZHU J G, WANG Y X, HUANG Y, et al.Data-Driven Capacity Estimation of Commercial Lithium-Ion Batteries from Voltage Relaxation[J]. Nature Communications, 2022, 13(1): 2261.
[27] SINGH S, DASH P, SILWAL S, et al.Influence of Land Use and Land Cover on the Spatial Variability of Dissolved Organic Matter in Multiple Aquatic Environments[J]. Environmental Science and Pollution Research International, 2017, 24(16): 14124-14141.
[28] HAAS C, PAULUS S, MAIER M, et al.Approach for Using Measured Soil Gas Diffusion Coefficients in Hydrus 1D with Examples from Forest Soils[J]. Journal of Plant Nutrition and Soil Science, 2020, 183(5): 562-566.
[29] WANG L, LIU F, CHENG J J, et al.Arrhenius-Type Constitutive Model for High Temperature Flow Stress in a Nickel-Based Corrosion-Resistant Alloy[J]. Journal of Materials Engineering and Performance, 2016, 25(4): 1394-1406.
[30] YASSIN K M, HASSAN M H, GHONEIM M M, et al.Multiphysics Simulation of VVER-1200 Fuel Performance during Normal Operating Conditions[J]. Nuclear Science and Techniques, 2023, 34(2): 28.
[31] XIAHOU T F, LIU Y.Reliability Bounds for Multi-State Systems by Fusing Multiple Sources of Imprecise Information[J]. IISE Transactions, 2020, 52(9): 1014-1031.
[32] XIAHOU T F, ZENG Z G, LIU Y, et al.Measuring Conflicts of Multisource Imprecise Information in Multistate System Reliability Assessment[J]. IEEE Transactions on Reliability, 2022, 71(4): 1417-1434.

基金

国家自然科学基金(51975548)

PDF(4294 KB)

Accesses

Citation

Detail

段落导航
相关文章

/