Fingerprint
Dive into the research topics of 'Regression models to predict the behavior of the coefficient of friction of AISI 316L on UHMWPE under ISO 14243-3 conditions'. Together they form a unique fingerprint.- Sort by
- Weight
- Alphabetically
A. L. Garcia-Garcia, M. Alvarez-Vera, L. A. Montoya-Santiyanes, I. Dominguez-Lopez, J. L. Montes-Seguedo, J. C. Sosa-Savedra, J. D.O. Barceinas-Sanchez
Research output: Contribution to journal › Article › peer-review