Nanofluídos para la mejora de la eficiencia energética
Author: Marta Hernaiz Miguel
2024
Thesis director
Andrés Tomás Aguayo, EHU/UPV; Estíbaliz Aranzabe, Tekniker
Los dos objetivos que se han tratado en esta tesis son, por un lado, disminuir la fricción en el sector del transporte, y, por otro, mejorar el coeficiente de transferencia térmica en sistemas de refrigeración.
Polyoxometalate-based Redox Flow Batteries operating under mild conditions. From electrolyte formulation to cell performance
Author: Ángela Barros Fernández
2024
Thesis director
Beñat Artetxe, EHU/UPV y Unai Eletxigerra, Tekniker
This work demonstrates the potential of POMs for the electrolyte of RFBs. The developed POM-RFBs not only contribute to the development of new ESSs to address the current energy crisis, but also shed light on the methodology to build a new RFB and, more specifically, on the influence of the composition and POM structure on the cell performance.
Advances in flexible manipulation through the application of AI-based techniques
Author: Ander Iriondo Azpiri
2023
Thesis director
Elena Lazkano, Facultad de Informática, EHU/UPV; Ander Ansuategi, Tekniker.
We are in the transition between Industry 4.0 and 5.0, where in addition to productivity, flexibility is also sought to adjust processes to specific customer needs.
Physicochemistry of non-immersion ultrasonic cleaning
Author: Jon Ander Sarasua
2023
Thesis director
Leire Ruiz, Facultad de Ciencia y Tecnología de la EHU/UPV; Estíbaliz Aranzabe, Tekniker
This thesis focuses on the study and scaling of a disruptive technology called "non-immersion ultrasonic cleaning".
Deep Learning Algorithms in Industry 4.0; Application of Surface Defect Inspection for Quality Control
Author: Vignesh Sampath
2023
Thesis director
Juan José Aguilar Martín, Universidad de Zaragoza; Iñaki Maurtua, Tekniker
This PhD thesis aims to develop an automated method for defect identification based on the magnetic particle technique using deep learning.
Contributions to time series analysis, modelling and forecasting to increase reliability in industrial environments
Author: Meritxell Gómez
2023
Thesis director
Basilio Sierra Araujo, Facultad de Informática, UPV/EHU; Susana Ferreiro, Tekniker
The integration of the Internet of Things in the industrial sector is considered a prerequisite for achieving intelligence in a company. To obtain this, AI systems with analytical and learning capabilities are required for the optimisation of industrial processes.