Publicacions en què col·labora amb ALVARO RODRIGUEZ PRIETO (46)

2024

  1. Cost-effective fully 3D-printed on-drop electrochemical sensor based on carbon black/polylactic acid: a comparative study with screen-printed sensors in food analysis

    Microchimica Acta, Vol. 191, Núm. 9

  2. Data-Analytics-Driven Selection of Die Material in Multi-Material Co-Extrusion of Ti-Mg Alloys

    Mathematics, Vol. 12, Núm. 6

2023

  1. Determination of Suitable Geometrical Ranges for the Manufacture of Microfluidic Channels by Low-Cost Additive Manufacturing Techniques

    Key Engineering Materials (Trans Tech Publications Ltd), pp. 3-11

  2. Other dimensions of additive manufacturing: Learning and development of technical skills in bachelor subjects

    Advances in Science and Technology

  3. The Effect of Design and Fabrication Parameters on the Mechanical Properties of 3D Re-Entrant Honeycomb Auxetic Structures

    Key Engineering Materials (Trans Tech Publications Ltd), pp. 131-138

  4. The Potential of Education and Training in Additive Manufacturing

    Mechanisms and Machine Science

2022

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

    Mathematics, Vol. 10, Núm. 10

  2. Optimal Parameters Selection in Advanced Multi-Metallic Co-Extrusion Based on Independent MCDM Analytical Approaches and Numerical Simulation

    Mathematics, Vol. 10, Núm. 23

2021

  1. Analysis of the technological evolution of materials requirements included in reactor pressure vessel manufacturing codes

    Sustainability (Switzerland), Vol. 13, Núm. 10

  2. 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

  3. Evolution of standardized specifications on materials, manufacturing and in-service inspection of nuclear reactor vessels

    Sustainability (Switzerland), Vol. 13, Núm. 19

  4. Reliability prediction of acrylonitrile o-ring for nuclear power applications based on shore hardness measurements

    Polymers, Vol. 13, Núm. 6

  5. 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

  6. Topological optimization of artificial neural networks to estimate mechanical properties in metal forming using machine learning

    Metals, Vol. 11, Núm. 8

2020

  1. 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

  2. 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

  3. Prediction of Physical and Mechanical Properties for Metallic Materials Selection Using Big Data and Artificial Neural Networks

    IEEE Access, Vol. 8, pp. 13444-13456

  4. Prediction of mechanical properties by artificial neural networks to characterize the plastic behavior of aluminum alloys

    Materials, Vol. 13, Núm. 22, pp. 1-22

  5. Prediction of the bilinear stress-strain curve of aluminum alloys using artificial intelligence and big data

    Metals, Vol. 10, Núm. 7, pp. 1-29

  6. Reliability-based evaluation of the suitability of polymers for additive manufacturing intended for extreme operating conditions

    Polymers, Vol. 12, Núm. 10, pp. 1-21