Intelligent pipeline isolation tools (IPITs) are widely used for pipeline maintenance and repair. Therefore, authors mainly study the sealing performance of double rubber cylinder IPIT. This study first analyzed the material and geometric properties of the rubber cylinders in an IPIT to establish a numerical finite element model of cylinder mechanical behavior. The influence of the cylinder hardness, camber angle, and short-side length on the sealing performance was subsequently investigated by systematically altering the established model according to the control variable method. Next, the response surface methodology was employed to evaluate the change in model sealing performance according to the coupled action of multiple rubber cylinder parameters and identify their optimal values.
TubbR. Pipeline & gas journal’s 2015 worldwide construction report. Pipeline Gas J2015; 242: 2.
2.
ParrottRTveltE. Onshore, offshore use of high-pressure pipeline isolation plugs for operating pipeline construction, maintenance. Pipeline Gas J2005; 232: 30–35.
3.
ZhangCZhangSMZhaoHL, et al. Overall design of high pressure isolation plug train. Adv Mater Res2010; 139-141: 2158–2161.
4.
ZhangKDingQLiuS, et al. Research on pressure fluctuation phenomenon using the smart isolation tool in subsea pipeline maintenance operation. Proc IMechE, Part M: J Engineering for the Maritime Environment2019; 233(2): 643–652.
5.
MiaoXZhaoHGaoB, et al. Vibration reduction control of in-pipe intelligent isolation plugging tool based on deep reinforcement learning. Int J Precis Eng Manuf Green Technol2022; 9: 1477–1491.
6.
MaWQuBGuanF. Effect of the friction coefficient for contact pressure of packer rubber. Proc IMechE, Part C: J Mechanical Engineering Science2014; 228(16): 2881–2887.
7.
ZhangFShuiHCZhangY. Parameter optimization of sealing performance for packer rubber. Ind Lubrication Tribol2019; 71(5): 664–671.
8.
ZhengCZhengXQinJ, et al. Nonlinear finite element analysis on the sealing performance of rubber packer for hydraulic fracturing. J Nat Gas Sci Eng2021; 85: 103711.
9.
LiuYLianZChenJ, et al. Design and experimental research on sealing structure for a retrievable packer. Shock Vib2020; 2020: 1–15.
10.
JiaoKYunFYanZ, et al. Optimization and experimental study of the subsea retractable connector rubber packer based on Mooney-Rivlin constitutive model. J Mar Sci Eng2021; 9(12): 1391.
11.
ZhengXLiB. Study on sealing performance of packer rubber based on stress relaxation experiment. Eng Fail Anal2021; 129: 105692.
12.
LiuJDengKLiuS, et al. Mechanical behavior and structure optimization of compressed PHP packer rubber. J Mater Eng Perform2021; 30: 3691–3704.
13.
KosukeI. A study on nonlinear characteristics of rubber isolator. J Syst Des Dyn2011; 5: 1061–1076.
14.
HuriDMankovitsT. Comparison of the material models in rubber finite element analysis. IOP Conf Ser Mater Sci Eng2018; 393(1): 012018.
15.
SuoHLiGQinA, et al. Simulation analysis of rubber material constitutive model based on Ansys. J Phys Conf Ser2023; 2541(1): 012007.
16.
DhakadRHipparkarDRKumarA, et al. A hyper-viscoelastic constitutive model for elastomers: a case study of hydrogenated nitrile butadiene rubber and polychloroprene rubber. J Elastomers Plast2023; 55(7): 1013–1034.
17.
JinLLiSChengY, et al. A time-dependent Yeoh model to predict the corrosion effect of supercritical CO2 on the HNBR sealing rubber. J Mech Sci Technol2022; 36: 2461–2470.
18.
LanWJWangHXZhangX, et al. Sealing properties and structure optimization of packer rubber under high pressure and high temperature. Pet Sci2019; 16: 632–644.
19.
WangHChenSLiuY, et al. Numerical simulation and experimental validation for design improvement of packer rubber. Int J Simul Process Model2017; 12: 419–428.
20.
AtkinsonC. Some axially symmetric contact problems. J Eng Math2019; 116: 23–28.
21.
JinLChengYZhangK, et al. Axisymmetric model of the sealing cylinder in service: analytical solutions. J Mech2021; 37: 404–414.
22.
DongLLiKZhuX, et al. Study on high temperature sealing behavior of packer rubber tube based on thermal aging experiments. Eng Fail Anal2020; 108: 104321.
23.
HanZ. Parameter optimization for sealing rubber of the spherical double blockages. Oil Field Equipment, 2014.
24.
ZhangYWangHCheJ, et al. Theoretical analysis of pressure-bearing performance on compression packer in low permeability reservoirs. Int J Press Vessel Piping2021; 191: 104325.
25.
MyersRHMontgomeryDC. Response surface methodology: process and product optimization using designed experiments. J Stat Plan Inference1997; 59: 185–286.
26.
ZhangFYChenJLLiTT, et al. Study and optimization of structural parameters of oil seal by response surface method. Int J Precis Eng Manuf2019; 20: 255–265.
27.
WuTTZhaoHGaoBX, et al. Structural optimization strategy of pipe isolation tool by dynamic plugging process analysis. Pet Sci2021; 18(6): 1829–1839.
