LabCompass

Lizhi Shang

Engineering · Purdue University West Lafayette

Mid career · publishing since 2007Rising activity

Publications

47

Citations

279

Est. group size

~6

Recurring co-author estimate

Active years

20

Publishing since 2007

Research summary
AI-generated

Lizhi Shang's research focuses on the mechanical engineering of hydraulic pumps and motors, particularly the internal lubrication, friction, and wear behavior between moving parts like pistons, cylinders, and valve plates. Work involves building computer models (elastohydrodynamic lubrication models, which simulate how thin fluid films support and lubricate moving surfaces under load) and experimental test setups to study energy loss, noise, vibration, and cavitation (bubble formation) in these fluid power systems. The research also extends to related energy applications, such as using submersible pumps to recover energy from wastewater disposal wells.

Hydraulic pump and motor lubrication interfacesElastohydrodynamic and thermal lubrication modelingTribology (friction and wear) in fluid power systemsPiston pump/motor noise, vibration, and cavitationEnergy harvesting from fluid systems

Publication output has grown over the last decade, rising from about 1-2 papers per year in 2017-2018 to a steady 5-7 per year in recent years (2023-2026).

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 5.6/year recently
2017: 1 publication172018: 2 publications182019: 5 publications192020: 2 publications202021: 3 publications212022: 5 publications222023: 5 publications232024: 4 publications242025: 7 publications7252026: 7 publications726
Recent publications
Publishes in
  • International Journal of Fluid Power×7
  • Journal of Tribology×3
  • SSRN Electronic Journal×3
  • Energies×2
  • JFPS International Journal of Fluid Power System×2
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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 20, 2026.

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