Publicaciones

Rodríguez-Prieto A, Camacho A.M. y Sebastián M.A. (2016):

“Material selection criteria for nuclear power applications: a decision algorithm”. link

Rodríguez-Prieto A, Camacho A.M. y Sebastián M.A (2017):

“Evaluation method for pressure vessel manufacturing codes: the influence of ASME unit conversion”. link

Rodríguez-Prieto A., Camacho A.M. y Sebastián M.A (2017):
“Quantitative analysis of prediction models for hot cracking in industrial stainless steels using standardized requirements”. link

Rodríguez-Prieto A., Camacho A.M. y Sebastián M.A (2018):

“Multicriteria materials selection for extreme operating conditions based on a multiobjective analysis of irradiation embrittlement and hot cracking prediction models”. link

Prado-Cerqueira J.L., Camacho A.M., Dieguez J.L. Rodríguez-Prieto A., Aragón A.M., Lorenzo-Martín C., Yanguas-Gil A. (2018):
“Analysis of Favorable Process Conditions for the Manufacturing of Thin-Wall Pieces of Mild Steel Obtained by Wire and Arc Additive Manufacturing (WAAM)”. link

D. Greiner, J. Periaux, D. Quagliarella, J. Magalhaes, B. Galván (2018):

“Evolutionary Algorithms and Metaheuristics: Applications in Engineering Design and Optimization”. link

Rodríguez-Prieto A., Camacho A.M. y Sebastián M.A (2019):

“Selection of candidate materials for reactor pressure vessels: Application of irradiation embrittlement prediction models and a stringency level methodology”. link

Merayo D., Rodríguez-Prieto A., Camacho A.M., (2020):

“Prediction of physical and mechanical properties for metallic materials selection using big data and artificial neural networks”. link

Rodríguez-Prieto A., Camacho A.M., Callejas M., Sebastián M.A. (2020):

“Fitness for Service and Reliability of Materials for Manufacturing Components Intended for Demanding Service Conditions in the Petrochemical Industry”. link

Merayo D., Rodríguez-Prieto A., Camacho A.M., (2020):

“Prediction of the Bilinear Stress-Strain Curve of Aluminum Alloys Using Artificial Intelligence and Big Data”. link

Rodríguez-Prieto A., Primera E., Callejas M., and Camacho A.M. (2020):

“Reliability-Based Evaluation of the Suitability of Polymers for Additive Manufacturing Intended for Extreme Operating Conditions”. link

Merayo D., Rodríguez-Prieto A., Camacho A.M., (2020):

“Prediction of Mechanical Properties by Artificial Neural Networks to Characterize the Plastic Behavior of Aluminum Alloys”. link

Rodríguez-Prieto A., Primera E., Frigione M., and Camacho A.M. (2021):

“Reliability Prediction of Acrylonitrile O-Ring for Nuclear Power Applications Based on Shore Hardness Measurements”. link

Frigione M., Rodríguez-Prieto A. (2021):

“Can Accelerated Aging Procedures Predict the Long Term Behavior of Polymers Exposed to Different Environments?”. link

Merayo D., Rodríguez-Prieto A., Camacho A.M., (2021):

“Topological Optimization of Artificial Neural Networks to Estimate Mechanical Properties in Metal Forming Using Machine Learning”. link

Rodríguez-Prieto A., Callejas M., Primera E., Lomonaco G., Camacho A.M (2022):

“Multicriteria Analytical Model for Mechanical Integrity Prognostics of Reactor Pressure Vessels Manufactured from Forged and Rolled Steels”. link

Cacereño, A., Greiner, D. & Galván, B (2023):

“Simultaneous optimization of design and maintenance for systems using multi-objective evolutionary algorithms and discrete simulation“. link

Primera E., Fernández D., Cacereño A., Rodríguez-Prieto A. (2024):

“Predictive analytics-based methodology supported by wireless monitoring for the prognosis of roller-bearing failure”. link