LabCompass

David Talbot

Engineering · The Ohio State University

OpenAlex ORCID
Established · publishing since 1981Rising activity
Gear and Bearing Dynamics AnalysisMechanical Engineering and Vibrations ResearchTribology and Lubrication EngineeringAdvanced machining processes and optimizationMechanical stress and fatigue analysis

Publications

63

Citations

918

Est. group size

~2

Recurring co-author estimate

Active years

45

Publishing since 1981

Research summary
AI-generated

David Talbot works on the mechanical engineering of gears and bearings, developing mathematical and computational models to predict how loads are distributed and how vibration, noise, and wear behave in gear systems such as planetary and bevel gears, and in ball bearings. This research supports the design of quieter, more durable mechanical transmissions used in applications like wind turbine gearboxes and other rotating machinery. The work combines theoretical modeling with experimental validation of gear and bearing performance under real operating conditions.

Gear load distribution and dynamicsPlanetary and epicyclic gear systemsBearing mechanics and lubricationVibration and noise in mechanical transmissionsTribology and elastohydrodynamic lubrication

Publication output has fluctuated over the last decade, with active peaks around 2017 and 2019 followed by a slower period in 2020-2022, and a moderate resurgence from 2023-2024 before tapering again in 2025.

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

Publication cadence
Publications per year over the last 10 years — averaging 2.6/year recently
2017: 9 publications172018: 2 publications182019: 10 publications10192020: 2 publications202021: 3 publications21222023: 7 publications232024: 4 publications242025: 2 publications2526
Recent publications
Publishes in
  • Journal of Mechanical Design×8
  • VDI Verlag eBooks×4
  • Mechanism and Machine Theory×2
  • Journal of Tribology×2
  • Tribology Transactions×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 19, 2026.

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