The high reliability and extended life of seawater hydraulic components depends on the tribological properties of the key tribopairs. The main reason that restricts their life is the wear of the tribopairs in relative motion. Therefore, the performance degradation of the tribopair should be investigated. Due to the limitation of the test sample size and test time, a large number of tests cannot be performed in a short period of time. Therefore, with the development of the sensor and monitoring technologies, the Accelerated Degradation Testing (ADT) has become an accelerated test method that can efficiently select and analyze the reliability of tribopairs. In this paper, the friction and wear characteristics of polyether ether ketone (PEEK)/17-4PH stainless steel are investigated, and the acceleration stress related to its performance is analyzed. Taking into account the random characteristics of the degradation process, an ADT model based on the Wiener stochastic process is constructed, while using the MLE solver. Finally, the model is estimated and verified using PEEK/17-4PH stainless steel experimental data. The results show that the proposed model helps the reliable assessment and further research of tribopair material.
YangHPanM.Engineering research in fluid power: a review. J Zhejiang Univ Sci A2015; 16: 427–442.
2.
LimGChuaPSKHeY.Modern water hydraulics—the new energy-transmission technology in fluid power. Appl Energy2003; 76: 239–246.
3.
NieSGuoMYinF, et al. Research on fluid-structure interaction for piston/cylinder tribopair of seawater hydraulic axial piston pump in deep-sea environment. Ocean Eng2021; 219(108222): 1–19.
4.
ZhangJChenYXuB, et al. Effect of surface texture on wear reduction of the tilting cylinder and the valve plate for a high-speed electro-hydrostatic actuator pump. Wear2018; 414–415: 68–78.
5.
LimDLeeY.Design of the swash-plate water hydraulic pump for environment-friendly actuator systems. Int J of Precis Eng and Manuf-Green Tech2020; 2: 1587–1596.
6.
YangHYangJZhouH.Research on materials of piston and cylinder of water hydraulic pump. Ind Lubr Tribol2003; 55: 38–43.
7.
NieSXuWYinF, et al. Investigation of the tribological behaviour of cermets sliding against Si3N4 for seawater hydraulic components applications. Surf Topogr: Metrol Prop2019; 7: 1–14.
8.
LiXHuYZioE, et al. A Bayesian optimal design for accelerated degradation testing based on the Inverse Gaussian process. IEEE Access2017; 5: 5690–5701.
9.
LiuYWangYFanZ, et al. Lifetime prediction method for MEMS gyroscope based on accelerated degradation test and acceleration factor model. Eksploatacja i Niezawodnosc – Maint Reliab2020; 22(2): 221–231.
10.
WangZFuQWoodRJK, et al. Influence of bionic non-smooth surface texture on tribological characteristics of carbon-fiber-reinforced polyetheretherketone under seawater lubrication. Tribol Int2020; 144(106100): 1–11.
11.
YinFNieSJiH, et al. Non-probabilistic reliability analysis and design optimization for valve-port plate pair of seawater hydraulic pump for underwater apparatus. Ocean Eng2018; 163: 337–347.
12.
YinXWuJLiC, et al. Right way of using graphene oxide additives for water-lubricated PEEK: adding in polymer or water?Tribol Lett2018; 66: 103.
13.
SongJLiaoZShiH, et al. Blood compatibility of ZrO2 particle reinforced PEEK coatings on Ti6Al4V substrates. Polymers2017; 9(11): 1–13.
14.
FedericiMPerriconeGGialanellaS, et al. Sliding behaviour of friction material against cermet coatings: pin-on-disc study of the running-in stage. Tribol Lett2018; 66: 53.
15.
LinBWangASuiT, et al. Friction and wear resistance of polytetrafluoroethylene-based composites reinforced with ceramic particles under aqueous environment. Surf Topogr: Metrol Prop2020; 8(1): 1–23.
16.
ChengJGanXLeiQ, et al. Tribological behaviors of an ultrahigh strength Cu-15Ni-8Sn-0.2Y alloy sliding against TC6 Titanium alloy in deionized water and seawater. Tribol Lett2020; 68: 21.
17.
ChenWWangZLiuX, et al. Effect of load on the friction and wear characteristics of Si3N4-hBN ceramic composites sliding against PEEK in artificial seawater. Tribology International2020; 141(105902): 1–8.
18.
NieSLouFJiH, et al. Tribological Performance of CF-PEEK Sliding against 17-4PH stainless steel with various cermet coatings for water hydraulic piston pump application. Coatings2019; 9(7): 436.
19.
LimonSYadavOPLiaoH.A literature review on planning and analysis of accelerated testing for reliability assessment. Qual Reliab Eng Int2017; 1: 1–23.
20.
ElsayedEA.Overview of reliability testing. IEEE Trans Reliab2012; 61(2): 282–291.
21.
ElsayedEA.Design of reliability test plans: an overview. In: TDohiTNakagawa (Eds) Stochastic reliability and maintenance modeling. London: Springer, 2013, pp. 17–39.
22.
WangYZhangCZhangS, et al. Optimal design of constant stress accelerated degradation test plan with multiple stresses and multiple degradation measures. Proc Inst Mech Eng O: J Risk Reliab2014; 229(1): 83–93.
23.
BaeSKuoWKvamPH.Degradation models and implied lifetime distributions. Reliab Eng Syst Saf2007; 92(5): 601–608.
24.
MeekerWQEscobarLALuC.Accelerated degradation tests: modeling and analysis. Technometrics2012, 40(2): 89–99.
25.
YeZChenNShenY.A new class of Wiener process models for degradation analysis. Reliab Eng Syst Saf2015; 139: 58–67.
26.
SunLZhaoFBalakrishnanN, et al. A nonlinear Wiener degradation model integrating degradation data under accelerated stresses and real operating environment. Proc Inst Mech Eng O: J Risk Reliab2021; 235(3): 356–373.
27.
LiuDWangSTomovicMM.Degradation modeling method for rotary lip seal based on failure mechanism analysis and stochastic process. Eksploatacja i Niezawodnosc – Maint Reliab2020; 22(3): 381–390.
28.
ShenJElwanyACuiL.Reliability modeling for systems degrading in K cyclical regimes based on gamma processes. Proc IMechE O: J Risk and Reliability2018; 232(6): 754–765.
29.
ChenXJiGSunX, et al. Inverse Gaussian–based model with measurement errors for degradation analysis. Proc IMechE O: J Risk and Reliability2019; 233(6): 1086–1098.
30.
PengWLiYYangY, et al. Bayesian degradation analysis with Inverse Gaussian process models under time-varying degradation rates. IEEE Trans Reliab2017; 66(1): 84–96.
31.
LiuDWangS.A degradation modeling and reliability estimation method based on Wiener process and evidential variable. Reliab Eng Syst Saf2020; 202(106957): 1–14.
32.
LiuDWangS.An artificial neural network supported stochastic process for degradation modeling and prediction. Reliab Eng Syst Saf2021; 214(107738): 1–15.
33.
LimHYumBJ.Optimal design of accelerated degradation tests based on Wiener process models. J Appl Stat2011; 38(2): 309–325.
34.
KimYSSungSI.Practical lifetime estimation strategy based on partially step-stress-accelerated degradation tests. Proc IMechE O: J Risk and Reliability2017; 231(5): 605–614.
35.
SungSIYumBJ.Optimal design of step-stress accelerated degradation tests based on the Wiener degradation process. Qual Technol Quant Manag2016; 13(4): 367–393.
36.
ChhikaraRSFolksJL.The Inverse Gaussian Distribution. New York: Marcel Dekker, 1989.
