Fernández Silva, Samuel DavidDelgado Canto, Miguel ÁngelRoman Fercheluc, ClaudiaAmann, TobiasGatti, FélixKailer, AndreasGarcía Morales, MoisésRoman Fercheluc, Claudia2025-10-172025-10-172025Fernández-Silva SD, Delgado MÁ, Roman C, et al. Active control of friction in electrified ball bearing prototypes using electro-sensitive clay mineral-based lubricating fluids. Friction, 2025, 13(5): 9441023. [Dataset]. AM (Depósito de Investigación de la Universidad de Huelva). https://hdl.handle.net/10272/25475https://hdl.handle.net/10272/27246Project "Advancing Toward Smart Lubrication Control Through Sustainable Electrorheological Fluids": SMARTFRICTION, (PID2023-151761NB-I00), funded by MICIU/AEI/10.13039/501100011033 and by FEDER, EU under the 2023 Knowledge Generation projects call. It is led from the University of Huelva, and mainly developed at Center for Research in Chemical Products and Process Technology (Pro2TecS). Main objectives: generating scientific and technical knowledge that will advance the innovative concept of intelligent lubrication control using sustainable electrorheological fluids; developing a new generation of electroactive biolubricants that allow instant, on-demand control of their rheological and tribological properties through the action of an external electric field.This research highlights the development of electro-active eco-friendly lubricants by dispersing polarizable clay nanoparticles in castor oil. These smart fluids exhibit controllable viscosity and friction properties under applied electric fields, enabling reversible tuning of lubrication performance. Experiments showed enhanced friction control, improved lubricant retention, and promising dielectric strength, pointing to a sustainable approach for actively managing friction and load-bearing in mechanical systems through electric field modulation.engAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/Smart lubricantSustainabilityBall bearingAactive control of frictionNanoclay mineraldataset10.33776/ariasmontano.27246open access3303 Ingeniería y Tecnología QuímicasOpen Data Commons Attribution License (ODC-By)