IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i14p2761-d249572.html
   My bibliography  Save this article

Investigation on the Frictional Performance of Surface Textured Ring-Deformed Liner Conjunction in Internal Combustion Engines

Author

Listed:
  • Cheng Liu

    (School of Mechanical and Precision Instrument Engineering, Xi’an University of Technology, Xi’an 710048, China
    State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Yanjun Lu

    (School of Mechanical and Precision Instrument Engineering, Xi’an University of Technology, Xi’an 710048, China
    State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Yongfang Zhang

    (School of Printing, Packaging Engineering and Digital Media Technology, Xi’an University of Technology, Xi’an 710048, China)

  • Lujia Tang

    (School of Mechanical and Precision Instrument Engineering, Xi’an University of Technology, Xi’an 710048, China)

  • Cheng Guo

    (School of Mechanical and Precision Instrument Engineering, Xi’an University of Technology, Xi’an 710048, China)

  • Norbert Müller

    (College of Engineering, Michigan State University, East Lansing, MI 48824, USA)

Abstract

In internal combustion engines (ICEs), the frictional performance of ring-liner conjunction (RLC) has drawn special attention because it greatly affects the fuel efficiency of the engines. In recent years, surface texture (i.e., micro dimples or grooves) has emerged as a promising approach to improve the frictional performance of RLC. However, most current studies on surface textured RLC were conducted by assuming that the liner was ideally circular and the lubrication condition was either fully flooded or starved. In this study, to evaluate the frictional characteristics of an RLC with surface texture on the ring, a numerical model of lubrication is presented by considering the liner deformation, as well as the coexistence of the fully flooded and staved lubrication conditions in an engine cycle. On this basis, the frictional properties of a surface textured RLC are analyzed, and the impacts of the liner deformation and temperature on the friction-reducing effect of the surface texture are also evaluated. The results show that the surface texture on the ring can effectively reduce the power dissipation and friction dissipation of an RLC, and the reductions vary with the liner temperature and deformation. Large reductions in the power dissipation and friction dissipation of an RLC are obtained when the liner temperature is low or the liner deformation is small.

Suggested Citation

  • Cheng Liu & Yanjun Lu & Yongfang Zhang & Lujia Tang & Cheng Guo & Norbert Müller, 2019. "Investigation on the Frictional Performance of Surface Textured Ring-Deformed Liner Conjunction in Internal Combustion Engines," Energies, MDPI, vol. 12(14), pages 1-21, July.
  • Handle: RePEc:gam:jeners:v:12:y:2019:i:14:p:2761-:d:249572
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/14/2761/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/12/14/2761/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Rahmani, R. & Rahnejat, H. & Fitzsimons, B. & Dowson, D., 2017. "The effect of cylinder liner operating temperature on frictional loss and engine emissions in piston ring conjunction," Applied Energy, Elsevier, vol. 191(C), pages 568-581.
    2. Guoxing Li & Fengshou Gu & Tie Wang & Xingchen Lu & Li Zhang & Chunfeng Zhang & Andrew Ball, 2017. "An Improved Lubrication Model between Piston Rings and Cylinder Liners with Consideration of Liner Dynamic Deformations," Energies, MDPI, vol. 10(12), pages 1-22, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Rao, Xiang & Sheng, Chenxing & Guo, Zhiwei & Dai, Leyang & Yuan, Chengqing, 2023. "A novel finding on tribological, emission, and vibration performances of diesel engines linking to graphene-attapulgite lubricants additives under hot engine tests," Renewable and Sustainable Energy Reviews, Elsevier, vol. 182(C).
    2. Ali, Mohamed Kamal Ahmed & Fuming, Peng & Younus, Hussein A. & Abdelkareem, Mohamed A.A. & Essa, F.A. & Elagouz, Ahmed & Xianjun, Hou, 2018. "Fuel economy in gasoline engines using Al2O3/TiO2 nanomaterials as nanolubricant additives," Applied Energy, Elsevier, vol. 211(C), pages 461-478.
    3. Wróblewski, Piotr, 2023. "Investigation of energy losses of the internal combustion engine taking into account the correlation of the hydrophobic and hydrophilic," Energy, Elsevier, vol. 264(C).
    4. Guoxing Li & Fengshou Gu & Tie Wang & Xingchen Lu & Li Zhang & Chunfeng Zhang & Andrew Ball, 2017. "An Improved Lubrication Model between Piston Rings and Cylinder Liners with Consideration of Liner Dynamic Deformations," Energies, MDPI, vol. 10(12), pages 1-22, December.
    5. Zhao, Xiaohuan & Liu, Fang & Wang, Chunhua, 2022. "Effects of different piston combustion chamber heights on heat transfer and energy conversion performance enhancement of a heavy-duty truck diesel engine," Energy, Elsevier, vol. 249(C).
    6. Dolatabadi, N. & Forder, M. & Morris, N. & Rahmani, R. & Rahnejat, H. & Howell-Smith, S., 2020. "Influence of advanced cylinder coatings on vehicular fuel economy and emissions in piston compression ring conjunction," Applied Energy, Elsevier, vol. 259(C).
    7. Jinxin Wang & Chi Zhang & Xiuzhen Ma & Zhongwei Wang & Yuandong Xu & Robert Cattley, 2020. "A Multivariate Statistics-Based Approach for Detecting Diesel Engine Faults with Weak Signatures," Energies, MDPI, vol. 13(4), pages 1-14, February.
    8. Ahmad Alshwawra & Ahmad Abo Swerih & Ahmad Sakhrieh & Friedrich Dinkelacker, 2022. "Structural Performance of Additively Manufactured Cylinder Liner—A Numerical Study," Energies, MDPI, vol. 15(23), pages 1-16, November.
    9. Silitonga, A.S. & Masjuki, H.H. & Ong, Hwai Chyuan & Sebayang, A.H. & Dharma, S. & Kusumo, F. & Siswantoro, J. & Milano, Jassinnee & Daud, Khairil & Mahlia, T.M.I. & Chen, Wei-Hsin & Sugiyanto, Bamban, 2018. "Evaluation of the engine performance and exhaust emissions of biodiesel-bioethanol-diesel blends using kernel-based extreme learning machine," Energy, Elsevier, vol. 159(C), pages 1075-1087.
    10. Grzegorz Koszalka & Paweł Krzaczek, 2022. "Energy Losses Related to Ring Pack Wear in Gasoline Car Engine," Energies, MDPI, vol. 15(24), pages 1-16, December.

    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:gam:jeners:v:12:y:2019:i:14:p:2761-:d:249572. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.