LabCompass

Andrea Vacca

Engineering · Purdue University West Lafayette

OpenAlex ORCID
Established · publishing since 1990
Hydraulic and Pneumatic SystemsRefrigeration and Air Conditioning TechnologiesGear and Bearing Dynamics AnalysisCavitation Phenomena in PumpsTribology and Lubrication Engineering

Publications

221

Citations

2,758

Est. group size

~8

Recurring co-author estimate

Active years

36

Publishing since 1990

Research summary
AI-generated

Andrea Vacca's research focuses on fluid power engineering, which involves the design and control of hydraulic and electro-hydraulic systems used in machines like excavators and agricultural tractors. Work includes modeling pumps, motors, and bearings, as well as developing energy-efficient hydraulic architectures and electrified actuation systems. Much of the research combines computational modeling with experimental validation to improve efficiency and performance of fluid-powered machinery.

Hydraulic pump and motor modelingEnergy-efficient hydraulic system architecturesElectro-hydraulic actuation and electrificationAgricultural and off-highway machinery applicationsTribology and lubrication in fluid power components

Publication output has remained fairly steady over the last decade, fluctuating between roughly 12 and 23 papers per year without a clear long-term increase or decline.

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

Publication cadence
Publications per year over the last 10 years — averaging 11.2/year recently
2017: 14 publications172018: 21 publications182019: 17 publications192020: 15 publications202021: 19 publications212022: 12 publications222023: 23 publications23232024: 14 publications242025: 7 publications2526
Recent publications
Publishes in
  • Energies×13
  • International Journal of Fluid Power×13
  • Mechanism and Machine Theory×9
  • Mechanical Systems and Signal Processing×8
  • Meccanica×4
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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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