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Otero, Javier Echávarri
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1

Using Artificial Intelligence to Predict Lubricated Frictio..:

, In: Proceedings of the XV Ibero-American Congress of Mechanical Engineering,
Franco-Martínez, Francisco ; Moltó, Jorge Juan García ; Otero, Javier Echávarri.. - p. 432-438 , 2023
Link: https://doi.org/10.1007/..
 
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2

Measurement of machinery safety level in the European marke..:

Cordero, Cristina Alén ; Sanz, José Luis Muñoz ; Otero, Javier Echávarri.
Safety Science.  51 (2013)  1 - p. 273-283 , 2013
Link: https://doi.org/10.1016/..
 
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3

Quantum tunnelling composites: Characterisation and modelli..:

Lantada, Andrés Díaz ; Lafont, Pilar ; Sanz, José Luis Muñoz..
Sensors and Actuators A: Physical.  164 (2010)  1-2 - p. 46-57 , 2010
Link: https://doi.org/10.1016/..
 
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4

Development of Personalized Annuloplasty Rings: Combination..:

Díaz Lantada, Andrés ; Valle-Fernández, Raquel Del ; Morgado, Pilar Lafont...
Annals of Biomedical Engineering.  38 (2009)  2 - p. 280-290 , 2009
Link: https://doi.org/10.1007/..
 
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5

A test for evaluating the scuffing performance of fully-for..:

Contreras Urgiles, Rafael Wilmer ; Echávarri Otero, Javier ; Chacón Tanarro, Enrique..
Tribology International.  187 (2023)  - p. 108693 , 2023
Link: https://doi.org/10.1016/..
 
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6

An Analytical Approach for Predicting EHL Friction: Usefuln..:

Echávarri Otero, Javier ; de la Guerra Ochoa, Eduardo ; Chacón Tanarro, Enrique..
Lubricants.  10 (2022)  7 - p. 141 , 2022
Link: https://doi.org/10.3390/..
 
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7

Individual and combined effects of introducing DLC coating ..:

Bellón Vallinot, Irene ; de la Guerra Ochoa, Eduardo ; Echávarri Otero, Javier...
Tribology International.  151 (2020)  - p. 106440 , 2020
Link: https://doi.org/10.1016/..
 
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8

Film Thickness Formula for Thermal EHL Line Contact Conside..:

de la Guerra Ochoa, Eduardo ; Echávarri Otero, Javier ; Sánchez López, Alejandro..
Tribology Letters.  66 (2018)  1 - p. , 2018
Link: https://doi.org/10.1007/..
 
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9

Friction coefficient in mixed lubrication: A simplified ana..:

Echávarri Otero, Javier ; de la Guerra Ochoa, Eduardo ; Chacón Tanarro, Enrique.
Advances in Mechanical Engineering.  9 (2017)  7 - p. 168781401770626 , 2017
Link: https://doi.org/10.1177/..
 
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10

Optimising the design of textured surfaces for reducing lub..:

Echávarri Otero, Javier ; de la Guerra Ochoa, Eduardo ; Bellón Vallinot, Irene.
Lubrication Science.  29 (2016)  3 - p. 183-199 , 2016
Link: https://doi.org/10.1002/..
 
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11

Analytical model for predicting friction in line contacts:

Echávarri Otero, Javier ; de la Guerra Ochoa, Eduardo ; Chacón Tanarro, Enrique..
Lubrication Science.  28 (2015)  4 - p. 189-205 , 2015
Link: https://doi.org/10.1002/..
 
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12

Neural Network Approach to Modelling the Behaviour of Ionic..:

Díaz Lantada, Andrés ; Lafont Morgado, Pilar ; Luis Muñoz Sanz, José..
Journal of Signal and Information Processing.  3 (2012)  2 - p. 137-145 , 2012
Link: https://doi.org/10.4236/..
 
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13

Comparative study of CAD–CAE programs taking account of the..:

Díaz Lantada, Andrés ; Lafont Morgado, Pilar ; Munoz‐Guijosa, Juan Manuel..
Computer Applications in Engineering Education.  21 (2010)  4 - p. 641-656 , 2010
Link: https://doi.org/10.1002/..
 
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14

Towards complete product development teaching employing com..:

Lorenzo‐Yustos, Hector ; Lafont, Pilar ; Diaz Lantada, Andres...
Computer Applications in Engineering Education.  18 (2010)  4 - p. 661-668 , 2010
Link: https://doi.org/10.1002/..
 
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15

Aplicación de herramientas de Inteligencia Artificial para ..:

Contreras Urgiles, Rafael Wilmer ; Chacón Tanarro, Enrique ; Echávarri Otero, Javier
https://doi.org/10.5944/bicim2022.160.  , 2022
Link: https://doi.org/10.5944/..
 
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