IDEAS home Printed from https://ideas.repec.org/a/hin/complx/9356451.html
   My bibliography  Save this article

Research Progress on Monitoring and Separating Suspension Particles for Lubricating Oil

Author

Listed:
  • Ziping Wang
  • Xian Xue
  • He Yin
  • Zhengxuan Jiang
  • Yefei Li

Abstract

Lubricant failure or irrational lubrication is the root cause of industrial equipment failure. By monitoring the distribution of the suspended particles in lubricants, it is possible to discover hidden lubrication problems. After taking the lubricating oil samples of industrial equipment, the oil monitoring technology is used to analyze the particle size distribution and the type and content of the abrasive particles by electrical, magnetic, and optical monitoring techniques. It is necessary to separate the suspended particles in oils with impurities by some method to eliminate potential safety hazards and ensure the reuse efficiency of the lubricant. In this paper, the principles, advantages, and disadvantages of several important oil monitoring methods are described, and new developments in various methods are analyzed. Several typical methods for separation of the suspended particles in purified oils were introduced. The advantages and disadvantages of each process were summarized. The development direction of lubricant monitoring technology was pointed out, and guidance was provided for the separation and online monitoring of the suspended particles in lubricants. Finally, compared with similar review papers, this paper specifically figured out that ultrasonic separation method has the advantages of real time, high efficiency, and no pollution and has important application value for micron-scale particle separation of large precision machines.

Suggested Citation

  • Ziping Wang & Xian Xue & He Yin & Zhengxuan Jiang & Yefei Li, 2018. "Research Progress on Monitoring and Separating Suspension Particles for Lubricating Oil," Complexity, Hindawi, vol. 2018, pages 1-9, June.
  • Handle: RePEc:hin:complx:9356451
    DOI: 10.1155/2018/9356451
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/8503/2018/9356451.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/8503/2018/9356451.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2018/9356451?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhijian Liu & Sen Wu & Mahmud Kamal Raihan & Diyu Zhu & Kezhen Yu & Feng Wang & Xinxiang Pan, 2022. "The Optimization of Parallel Resonance Circuit for Wear Debris Detection by Adjusting Capacitance," Energies, MDPI, vol. 15(19), pages 1-15, October.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hin:complx:9356451. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.