Port and case flow temperature prediction for axial piston machines

Authors

  • L. Shang Department of Agricultural and Biological Engineering, Purdue University, 225 South University Street, West Lafayette, IN 47907-2938, USA
  • M. Ivantysynova Department of Agricultural and Biological Engineering, Purdue University, 225 South University Street, West Lafayette, IN 47907-2938, USA

DOI:

https://doi.org/10.1080/14399776.2015.1016839

Keywords:

axial piston machines, lubrication, computational pump design, thermodynamic model, heat-transfer model, outlet temperature, case temperature

Abstract

Researchers at Purdue’s Maha Fluid Power Research Center have developed models that will enable computational design of piston machines. The core of the in-house developed program forms multi-domain models capturing the fluid–structure interaction phenomena taking place in the main lubricating interfaces (piston/cylinder, cylinder block/valve plate, and slipper/swash plate) of axial piston machines. The model allows studying the influence of a given pump or motor design on machine performance, power loss, and energy dissipation in those main lubricating interfaces. The behavior of the fluid film in these lubricating interfaces as well as the shape of the solid parts is temperature and pressure dependent. In order to solve for non-isothermal flow and to consider elasto-hydrodynamic effects, port and case temperatures are needed as boundary condition for the model. In case of analysis and optimization of existing pumps and motors, those boundary conditions can be taken from steady-state measurements; however, when using the model to design a new unit, this information is not available. The temperature prediction model proposed in this paper fills this gap. The model can predict the outlet and case temperature for a chosen inlet temperature based on known fluid properties and calculated energy dissipation in the rotating group of an axial piston pump. The model also considers the temperature change due to fluid compression/expansion and estimated churning losses for a given axial piston machine.

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Author Biographies

L. Shang, Department of Agricultural and Biological Engineering, Purdue University, 225 South University Street, West Lafayette, IN 47907-2938, USA

L. Shang was born on 25 March 1989 in Tianjin (China). He received his BS degree in Thermal Energy and Power Engineering from Huazhong University of Science and Technology in 2011 and his MS degree in Mechanical Engineering in New Jersey Institute of Technology in 2013. He is currently a PhD student at Maha Fluid Power Research Center in Purdue University. His main research interests are modeling and optimizing of hydraulic pumps/motors.

M. Ivantysynova, Department of Agricultural and Biological Engineering, Purdue University, 225 South University Street, West Lafayette, IN 47907-2938, USA

M. Ivantysynova was born on 11 December 1955 in Polenz (Germany). She received her MSc degree in Mechanical Engineering and her PhD degree in Fluid Power from the Slovak Technical University of Bratislava, Czechoslovakia. After 7 years in fluid power industry, she returned to university. In April 1996, she received a professorship in fluid power & control at the University of Duisburg (Germany). From 1999 until August 2004, she was a professor of Mechatronic Systems at the Technical University of Hamburg-Harburg. Since August 2004, she is a professor at Purdue University, USA. Her main research areas are energy saving actuator technology and model-based

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Published

2018-12-28

How to Cite

Shang, L., & Ivantysynova, M. (2018). Port and case flow temperature prediction for axial piston machines. International Journal of Fluid Power, 16(1), 35–51. https://doi.org/10.1080/14399776.2015.1016839

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Original Article