Karsten Stahl

Full Professor

Technical University of Munich

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Articles (20)

Collaborators (2)

Markus Zimmermann

Technical University of Munich

Marius Fürst

Technical University of Munich

Karsten Stahl

Research Interests

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Contact this professor

Articles (20)

Collaborators (2)

Markus Zimmermann

Marius Fürst

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Karsten Stahl

Research Interests

Explore related searches

Contact this professor

Articles (20)

Method for determining wear in steel-bronze rolling-sliding contacts relating to worm gears

Efficiency of Bevel and Hypoid Gears—Test Rig Development and Experimental Investigations

High-ratio planetary gearbox with EC gearing for robot applications

Electric Drive Units: A Set-Up for Investigating Function, Efficiency, and Dynamics

Improved Operating Behavior of Self-Lubricating Rolling-Sliding Contacts under High Load with Oil-Impregnated Porous Sinter Material

Power Loss and Damage Behavior of Gears Operating Under Loss of Lubrication

Enhanced prediction of thermomechanical systems using machine learning, PCA, and finite element simulation

Holistic Measurement of the Friction Behavior of Wet Clutches

Influence of surface and material technologies on the loss of lubrication performance of gears

Study on the Potential of New Load-Carrying Capacity Descriptions for the Service Life Calculations of Gears

Discussion of a variant of eccentric drives utilizing rolling elements

Consideration of the influences of the driving direction within the calculation of the pitting load-carrying capacity of bevel and hypoid gears

Experimental investigation of moving contact pattern in helical planetary gearboxes

Applicability of classic analytical calculation approaches for the design of plastic gears

Calculation method for wear of steel-bronze rolling-sliding contacts relating to worm gears

Transferability of the scuffing load capacity of gear oils determined on spur gears to hypoid gears

An efficient way to calculate contact pattern movement coefficients

Parameter based definition of eccentric cycloid gearings

A methodology for data-driven modeling and prediction of the drag losses of wet clutches

Influence of the steel plate on the friction behavior of automotive wet disk clutches

Collaborators (2)

Markus Zimmermann

Marius Fürst

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Meet Kite AI