Tribological and Vibration Characteristics of TPU-based Composite in Sand-containing Water Environment

LAO Jidong, DONG Conglin, ZHENG Zhanmo, YUAN Chengqing, BAI Xiuqin

Surface Technology ›› 2025, Vol. 54 ›› Issue (13) : 72-84.

PDF(8800 KB)
PDF(8800 KB)
Surface Technology ›› 2025, Vol. 54 ›› Issue (13) : 72-84. DOI: 10.16490/j.cnki.issn.1001-3660.2025.13.007
Friction, Wear and Lubrication

Tribological and Vibration Characteristics of TPU-based Composite in Sand-containing Water Environment

  • LAO Jidong1,2, DONG Conglin1,2*, ZHENG Zhanmo1,2, YUAN Chengqing2, BAI Xiuqin1,2
Author information +
History +

Abstract

The primary objective of this study is to investigate the friction and wear mechanisms of tungsten disulfide (WS2) and multi-walled carbon nanotube (MWCNTs) modified thermoplastic polyurethane (TPU) composites under various concentrations of sand-containing water. The research aims to uncover the mapping relationship between the tribological characteristics of the modified TPU composites and the characteristics of their corresponding vibration signals, thereby enhancing our understanding of the relationship between the wear state and key characteristic parameters. To achieve this, the methodology involved preparing the modified TPU composites through a physical blending technique, integrating WS2 and MWCNTs into the TPU matrix. The wear test was conducted with an RTEC wear test apparatus, which simulated the wear conditions of the modified composites in water containing sand of different concentrations . Specifically, quartz powder with an average particle size of 15 μm was used at varying volume concentrations of 0.0%, 0.3%, 0.6%, 0.9%, and 1.2%. This design can comprehensively examine how different concentrations of sand particles affect the wear behavior of composites. Throughout the experimental process, several critical tribological parameters were measured and analyzed, including the coefficient of friction (COF), wear scar profile, wear rate and surface morphology. Additionally, the vibration signals produced during the friction process were analyzed in both time-domain and frequency-domain. This dual analysis facilitated a deeper understanding of the evolution of these parameters over the course of the wear tests. The study sought to reveal the underlying wear mechanisms of the modified TPU composites under varying sand concentrations and to establish responsive relationships between the wear states and key characteristic parameters. The results indicate that as the concentration of sand particles in the water increases, the degree of wear gradually intensifies, and characteristic parameters such as friction coefficient, wear rate, and vibration signal show a significant upward trend. Compared with pure water lubrication, the average friction coefficient and the volume wear rate of the modified composite increased by 308.8% and 4 020%, respectively, at a sand particle concentration of 1.2%. The various parameters of vibration signal characteristics also increase to varying degrees (with a minimum increase of 137.7%). It is worth noting that there is a highly correlated linear relationship between the wear rate and other characteristic parameters, with a minimum correlation coefficient of 0.879 (wear rate and frequency domain energy value) and a maximum correlation coefficient of 0.997 (wear rate and time-domain effective value), an increase of 13.4%, indicating a significant positive correlation between the wear rate and other characteristic parameters. The conclusions drawn from this study highlight that by monitoring the state information during the friction process and extracting and analyzing the characteristic parameters of both the COF and vibration signals, it becomes feasible to effectively predict the wear rate of the composites. This predictive capability not only allows for accurate assessments of the wear states of materials but also introduces a novel approach to forecasting the wear conditions of friction materials. The findings of this research provide significant insights for the implementation of state monitoring and fault diagnosis in water-lubricated bearings. By utilizing the relationships established between tribological characteristics and vibration signals, engineers can develop more advanced condition-based maintenance strategies. These strategies are essential for enhancing the reliability and performance of systems operating in abrasive environments, ultimately contributing to better maintenance practices and prolonging the operational lifespan of critical components. Thus, this study serves as an important reference for future research and applications in the field of tribology and materials science.

Key words

water-lubricated bearings / sand particle concentration / wear status / tribological property / vibration characteristics / mapping relationship

Cite this article

Download Citations
LAO Jidong, DONG Conglin, ZHENG Zhanmo, YUAN Chengqing, BAI Xiuqin. Tribological and Vibration Characteristics of TPU-based Composite in Sand-containing Water Environment[J]. Surface Technology. 2025, 54(13): 72-84 https://doi.org/10.16490/j.cnki.issn.1001-3660.2025.13.007

References

[1] 严新平, 梁兴鑫, 刘正林, 等. 船舶水润滑尾轴承服役性能研究及其进展[J]. 中国造船, 2017, 58(3): 221-232.
YAN X P, LIANG X X, LIU Z L, et al.Research Progress of Marine Water Lubricated Stern Bearing[J]. Shipbuilding of China, 2017, 58(3): 221-232.
[2] SHARAFI S, LI G Q.Multiscale Modeling of Vibration Damping Response of Shape Memory Polymer Fibers[J]. Composites Part B: Engineering, 2016, 91: 306-314.
[3] XIE Z L, JIAO J, YANG K, et al.A State-of-Art Review on the Water-Lubricated Bearing[J]. Tribology International, 2023, 180: 108276.
[4] 张豪, 谭祖胜, 袁成清. 船舶水润滑尾轴承结构设计研究进展[J]. 润滑与密封, 2020, 45(8): 120-129.
ZHANG H, TAN Z S, YUAN C Q.Research Progress of Structure Design for Water Lubricated Stern Bearings[J]. Lubrication Engineering, 2020, 45(8): 120-129.
[5] DONG C L, YUAN C Q, BAI X Q, et al.Study on Wear Behaviour and Wear Model of Nitrile Butadiene Rubber under Water Lubricated Conditions[J]. RSC Advances, 2014, 4(36): 19034-19042.
[6] JIA Z M, GUO Z W, YUAN C Q.Effect of Material Hardness on Water Lubrication Performance of Thermoplastic Polyurethane under Sediment Environment[J]. Journal of Materials Engineering and Performance, 2021, 30(10): 7532-7541.
[7] 向晶晶, 董从林, 白秀琴, 等. 转叶式舵机密封件在不同磨粒尺寸下的摩擦学特征研究[J]. 中国机械工程, 2022, 33(4): 397-405.
XIANG J J, DONG C L, BAI X Q, et al.Study on Tribological Characteristics of Rotary Vane Steering Gear Seals under Different Abrasive Particle Sizes[J]. China Mechanical Engineering, 2022, 33(4): 397-405.
[8] KCHAOU M, MAT LAZIM A R, ABDUL HAMID M K, et al. Experimental Studies of Friction-Induced Brake Squeal: Influence of Environmental Sand Particles in the Interface Brake Pad-Disc[J]. Tribology International, 2017, 110: 307-317.
[9] 宋运锋, 王庆锋, 李华, 等. 基于端面振动测量的机械密封摩擦学行为试验研究[J]. 摩擦学学报, 2023, 43(11): 1299-1309.
SONG Y F, WANG Q F, LI H, et al.Experimental Research on Tribological Behavior of Mechanical Seal Based on Face Vibration Measurement[J]. Tribology, 2023, 43(11): 1299-1309.
[10] LI N E, DONG C L, WU Y H.Reinforcement of Frictional Vibration Noise Reduction Properties of a Polymer Material by PTFE Particles[J]. Materials, 2022, 15(4): 1365.
[11] WANG S W, YANG X N, SU W L, et al.Fabrication of Polyurethane-Based Composites Used in Water-Lubricated Bearings[J]. Advances in Polymer Technology, 2014, 33(4): 21421.
[12] LIU Q L, OUYANG W, LI R Q, et al.Experimental Research on Lubrication and Vibration Characteristics of Water-Lubricated Stern Bearing for Underwater Vehicles under Extreme Working Conditions[J]. Wear, 2023, 523: 204778.
[13] 盛晨兴, 马成, 吴祖旻, 等. 不同水润滑尾轴承材料摩擦磨损性能比较[J]. 润滑与密封, 2018, 43(8): 1-6.
SHENG C X, MA C, WU Z M, et al.Comparison on Friction and Wear Properties of Different Water Lubricated Stern Bearing Materials[J]. Lubrication Engineering, 2018, 43(8): 1-6.
[14] YANG Z R, GUO Z W, YUAN C Q.Effects of MoS2 Microencapsulation on the Tribological Properties of a Composite Material in a Water-Lubricated Condition[J]. Wear, 2019, 432: 102919.
[15] LIANG X, GUO Z W, TIAN J, et al.Development of Modified Polyacrylonitrile Fibers for Improving Tribological Performance Characteristics of Thermoplastic Polyurethane Material in Water-Lubricated Sliding Bearings[J]. Polymers for Advanced Technologies, 2020, 31(12): 3258-3271.
[16] BEK M, BETJES J, VON BERNSTORFF B S, et al. Viscoelasticity of New Generation Thermoplastic Polyurethane Vibration Isolators[J]. Physics of Fluids, 2017, 29(12): 121614.
[17] 郑占模, 董从林, 袁成清, 等. 二硫化钼的粒径对聚氨酯复合材料摩擦学性能的影响[J]. 表面技术, 2023, 52(8): 161-172.
ZHENG Z M, DONG C L, YUAN C Q, et al.Effect of Particle Size of MoS2 on Tribological Properties of TPU-Based Composite[J]. Surface Technology, 2023, 52(8): 161-172.
[18] MISHRA A K, RAJAMOHANAN P R, NANDO G B, et al.Structure-Property of Thermoplastic Polyurethane-Clay Nanocomposite Based on Covalent and Dual-Modified Laponite[J]. Advanced Science Letters, 2011, 4(1): 65-73.
[19] LI S F, DONG C L, YUAN C Q, et al.Friction-Reducing and Vibration-Absorbing Performances on a Novel Thermoplastic Bearing Material Reinforced by Nano-WS2 and UHMWPE[J]. Tribology International, 2022, 176: 107893.
[20] YANG X H, LIU K, DANG R Q, et al.Enhanced Tribological Performance of Epoxy Nanocomposites by the Hybridization of 2D Nano-WS2 and Graphene Oxide Nanosheets[J]. Polymer Composites, 2023, 44(1): 536-549.
[21] WU Y H, DONG C L, YUAN C Q, et al.MWCNTS Filled High-Density Polyethylene Composites to Improve Tribological Performance[J]. Wear, 2021, 477: 203776.
[22] AZIMPOUR-SHISHEVAN F, AKBULUT H, MOHTADI- BONAB M A. Synergetic Effects of Carbon Nanotube and Graphene Addition on Thermo-Mechanical Properties and Vibrational Behavior of Twill Carbon Fiber Reinforced Polymer Composites[J]. Polymer Testing, 2020, 90: 106745.
[23] XU Y, JI K, HUANG Z, et al.Tribological Behaviors of Foamed Copper/Epoxy Resin Composites Augmented by Molybdenum Disulfide and Multi-walled Carbon Nanotubes[J]. Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology, 2014, 228(5): 558-566.
[24] ADEGBENJO A O, OBADELE B A, OLUBAMBI P A.Densification, Hardness and Tribological Characteristics of MWCNTS Reinforced Ti6Al4V Compacts Consolidated by Spark Plasma Sintering[J]. Journal of Alloys and Compounds, 2018, 749: 818-833.
[25] 许全喜, 石国钰, 陈泽方. 长江上游近期水沙变化特点及其趋势分析[J]. 水科学进展, 2004, 15(4): 420-426.
XU Q X, SHI G Y, CHEN Z F.Analysis of Recent Changing Characteristics and Tendency Runoff and Sediment Transport in the Upper Reach of Yangtze River[J]. Advances in Water Science, 2004, 15(4): 420-426.
[26] YUAN C Q, GUO Z W, TAO W, et al.Effects of Different Grain Sized Sands on Wear Behaviours of NBR/Casting Copper Alloys[J]. Wear, 2017, 384: 185-191.
[27] TA T N, HORNG J H, HUANG M W, et al.Tribological Characteristics and Vibration Response of Grease Lubricated Contacts under Environmental Particles and Water Impact[J]. Wear, 2024, 550: 205403.
[28] DONG C L, MO J L, YUAN C Q, et al.Vibration and Noise Behaviors during Stick-Slip Friction[J]. Tribology Letters, 2019, 67(4): 103.
[29] SUN W H, ZHOU Q, ZHANG K, et al.Influence of Rotation Speed on Abrasive Wear Behavior of the UHMWPE in Lubrication Environment[J]. Journal of Applied Polymer Science, 2022, 139(45): e53114.
[30] 张敏, 崔海龙, 陈曦晖, 等. 基于IMF能量矩和HSMM模型的滚动轴承故障诊断方法[J]. 组合机床与自动化加工技术, 2015(10): 101-103.
ZHANG M, CUI H L, CHEN X H, et al.Fault Diagnosis of Rolling Bearing Based on Intrinsic Mode Function Energy Moment and Hidden Semi-Markov Model[J]. Modular Machine Tool & Automatic Manufacturing Technique, 2015(10): 101-103.
[31] 邓晓琴, 瞿卫华, 陈金保, 等. 融合IMF能量矩和BiLSTMNN的水电机组振动故障诊断[J]. 水力发电学报, 2023, 42(10): 86-95.
DENG X Q, QU W H, CHEN J B, et al.Vibration Fault Diagnosis of Hydropower Units Based on IMF Energy Moment and BiLSTMNN[J]. Journal of Hydroelectric Engineering, 2023, 42(10): 86-95.
[32] 孙慧贤, 刘广凯, 张玉华, 等. 利用时频分析频率重心的跳频周期估计方法[J]. 探测与控制学报, 2020, 42(1): 44-49.
SUN H X, LIU G K, ZHANG Y H, et al.A Frequency-Hopping Signal Hop Duration Estimation Method Based on the Gravity Center[J]. Journal of Detection & Control, 2020, 42(1): 44-49.
[33] ZHANG L Y, YUAN C Q, DONG C L, et al.Friction-Induced Vibration and Noise Behaviors of a Composite Material Modified by Graphene Nano-Sheets[J]. Wear, 2021, 476: 203719.
[34] 张华, 龙呈, 胡思洋, 等. 基于层次聚类法与皮尔逊相关系数的配电网拓扑校验方法[J]. 电力系统保护与控制, 2021, 49(21): 88-96.
ZHANG H, LONG C, HU S Y, et al.Topology Verification Method of a Distribution Network Based on Hierarchical Clustering and the Pearson Correlation Coefficient[J]. Power System Protection and Control, 2021, 49(21): 88-96.
[35] SCHOBER P, BOSSERS S M, SCHWARTE L A.Statistical Significance Versus Clinical Importance of Observed Effect Sizes: What Do P Values and Confidence Intervals Really Represent?[J]. Anesthesia and Analgesia, 2018, 126(3): 1068-1072.
[36] PALESCH Y Y.Some Common Misperceptions about P Values[J]. Stroke, 2014, 45(12): e244-6.
[37] SCHOBER P, BOER C, SCHWARTE L A.Correlation Coefficients: Appropriate Use and Interpretation[J]. Anesthesia and Analgesia, 2018, 126(5): 1763-1768.
[38] MASCHA E J, VETTER T R. Significance, Errors, Power, and Sample Size: The Blocking and Tackling of Statistics: Erratum[J]. Anesthesia and Analgesia, 2018, 126(4): 1429.

Funding

National Natural Science Foundation of China (52075399); Independent Innovative Project of Hubei Longzhong Laboratory of China (2022ZZ-05)
PDF(8800 KB)

Accesses

Citation

Detail

Sections
Recommended

/