LabCompass

Michael Handschuh

Engineering · The Ohio State University

OpenAlex ORCID
Mid career · publishing since 2009
Gear and Bearing Dynamics AnalysisTribology and Lubrication EngineeringMechanical Engineering and Vibrations ResearchAdhesion, Friction, and Surface InteractionsLubricants and Their Additives

Publications

21

Citations

300

Est. group size

~3

Recurring co-author estimate

Active years

18

Publishing since 2009

Research summary
AI-generated

Michael Handschuh's research focuses on the mechanical engineering topic of gears and lubrication, particularly how lubricants, surface conditions, and operating parameters affect power loss, friction, wear, and noise in gear systems. This work involves experimental testing using specialized equipment like tribometers and gear test rigs to study efficiency, scuffing (a type of surface damage), and vibration-related transmission errors, with relevance to automotive and mechanical drivetrain applications.

Gear mechanics and efficiencyLubrication and friction (tribology)Surface damage and scuffing analysisGear noise and vibration (transmission error)Experimental test rig development

Publication output has been modest and fairly steady over the past decade (about 1-2 per year), with a notable spike of five publications appearing in 2026.

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

Publication cadence
Publications per year over the last 10 years — averaging 1.8/year recently
17182019: 2 publications192020: 2 publications202021: 1 publication212022: 1 publication222023: 2 publications232024: 1 publication24252026: 5 publications526
Recent publications
Publishes in
  • Tribology Transactions×3
  • Proceedings of the Institution of Mechanical Engineers Part J Journal of Engineering Tribology×2
  • Lecture notes in mechanical engineering×2
  • Journal of Mechanical Design×1
  • Mechanical Systems and Signal Processing×1
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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 19, 2026.

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