谭桂斌, 王德国. 长输管道智能机器人摩擦学系统研究进展[J]. 油气储运, 2016, 35(6): 583-590. DOI: 10.6047/j.issn.1000-8241.2016.06.003
引用本文: 谭桂斌, 王德国. 长输管道智能机器人摩擦学系统研究进展[J]. 油气储运, 2016, 35(6): 583-590. DOI: 10.6047/j.issn.1000-8241.2016.06.003
TAN Gui-bin, WANG De-guo. Review on the tribological system of intelligent robots for long-distance pipelines[J]. Oil & Gas Storage and Transportation, 2016, 35(6): 583-590. DOI: 10.6047/j.issn.1000-8241.2016.06.003
Citation: TAN Gui-bin, WANG De-guo. Review on the tribological system of intelligent robots for long-distance pipelines[J]. Oil & Gas Storage and Transportation, 2016, 35(6): 583-590. DOI: 10.6047/j.issn.1000-8241.2016.06.003

长输管道智能机器人摩擦学系统研究进展

Review on the tribological system of intelligent robots for long-distance pipelines

  • 摘要: 管道智能机器人的运行可靠性是长输管道安全运行的关键技术。从管内机器人的密封皮碗和压差驱动力着手, 分析了清蜡时淤积卡球的风险, 建立了皮碗式智能机器人的非稳态运移模型, 在此基础上, 综述了复杂管道的清管规律、内检测器动力学特性和泄流调速装置等, 进一步构建了管内智能机器人运移过程的摩擦学系统。分析了管道蜡层机械剥离时宏观与微观的不同摩擦特性, 对比分析了非稳态摩擦、正交切削、颗粒微淤积3类典型摩擦模型, 指出未来应加大管道智能机器人摩擦学设计及零部件方面的研究力度, 阐述了智能机器人摩擦学与可靠性的研究难点及未来的研究趋势。

     

    Abstract: The operation reliability of pipeline intelligent robots is the key to the safety of long-distance pipelines. In this paper, the tribological system of pipeline intelligent robots was studied. Firstly, the risks of deposit and pig sticking during paraffin removal were analyzed from the point of sealing leather cup and pressure difference drive of inner robots, and then the unsteady migration model for cup-type intelligent robots was built up. Secondly, the tribological system during the migration of inner intelligent robots was constituted after the pigging rules of complex pipelines, the dynamic characteristics of inner detectors and the bypassing speed control devices were reviewed. Thirdly, the macroscopic and microscopic tribological behavoirs during the mechanical stripping of paraffin from pipelines were analyzed, and three typical tribological models (i.e., unsteady friction, orthogonal cutting and micro particle deposition) were comparatively analyzed. It is recommended to strengthen the research on tribological design and spare parts of pipeline intelligent robots in the future. Finally, the research difficulties and trends on reliability and tribology of intelligent robots were illustrated.

     

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