ALVARO
RODRIGUEZ PRIETO
Profesor Contratado Doctor
ANA MARIA
CAMACHO LOPEZ
Catedrático de Universidad
Publicaciones en las que colabora con ANA MARIA CAMACHO LOPEZ (43)
2024
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Data-Analytics-Driven Selection of Die Material in Multi-Material Co-Extrusion of Ti-Mg Alloys
Mathematics, Vol. 12, Núm. 6
2023
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Other dimensions of additive manufacturing: Learning and development of technical skills in bachelor subjects
Advances in Science and Technology
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The Potential of Education and Training in Additive Manufacturing
Mechanisms and Machine Science
2022
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Multicriteria Analytical Model for Mechanical Integrity Prognostics of Reactor Pressure Vessels Manufactured from Forged and Rolled Steels
Mathematics, Vol. 10, Núm. 10
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Optimal Parameters Selection in Advanced Multi-Metallic Co-Extrusion Based on Independent MCDM Analytical Approaches and Numerical Simulation
Mathematics, Vol. 10, Núm. 23
2021
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Analysis of the technological evolution of materials requirements included in reactor pressure vessel manufacturing codes
Sustainability (Switzerland), Vol. 13, Núm. 10
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Estimation of maximum flow length for CF-peek overmolded grid structures using the finite element method
Proceedings of the ASME 2021 16th International Manufacturing Science and Engineering Conference, MSEC 2021
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Evolution of standardized specifications on materials, manufacturing and in-service inspection of nuclear reactor vessels
Sustainability (Switzerland), Vol. 13, Núm. 19
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Reliability prediction of acrylonitrile o-ring for nuclear power applications based on shore hardness measurements
Polymers, Vol. 13, Núm. 6
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Selection of die material and its impact on the multi-material extrusion of bimetallic az31b–ti6al4v components for aeronautical applications
Materials, Vol. 14, Núm. 24
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Topological optimization of artificial neural networks to estimate mechanical properties in metal forming using machine learning
Metals, Vol. 11, Núm. 8
2020
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Effect of process parameters and definition of favorable conditions in multi-material extrusion of bimetallic az31b–ti6al4v billets
Applied Sciences (Switzerland), Vol. 10, Núm. 22, pp. 1-17
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Fitness for Service and Reliability of Materials for Manufacturing Components Intended for Demanding Service Conditions in the Petrochemical Industry
IEEE Access, Vol. 8, pp. 92275-92286
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Prediction of Physical and Mechanical Properties for Metallic Materials Selection Using Big Data and Artificial Neural Networks
IEEE Access, Vol. 8, pp. 13444-13456
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Prediction of mechanical properties by artificial neural networks to characterize the plastic behavior of aluminum alloys
Materials, Vol. 13, Núm. 22, pp. 1-22
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Prediction of the bilinear stress-strain curve of aluminum alloys using artificial intelligence and big data
Metals, Vol. 10, Núm. 7, pp. 1-29
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Reliability-based evaluation of the suitability of polymers for additive manufacturing intended for extreme operating conditions
Polymers, Vol. 12, Núm. 10, pp. 1-21
2019
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An experimental and numerical analysis of the compression of bimetallic cylinders
Materials, Vol. 12, Núm. 24
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Analysis of mechanical and thermal properties of elastomers for manufacturing of components in the nuclear industry
Procedia Manufacturing
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Analytical and numerical study for selecting polymeric matrix composites intended to nuclear applications
Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications, Vol. 233, Núm. 10, pp. 2072-2083