Zerrendatu Artikuluak-Ingeniaritza honen arabera: izenburua
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Press hardening of alternative materials: conventional high- strength steels
(Springer Nature, 2017)he increase in strength of new high strength steels(HHS) and advanced high strength steels (AHHS) has led toforming issues, such as high springback, low formability, increase of forming forces and tool wear. These problems ... -
Probabilistic feature selection for improved asset lifetime estimation in renewables. Application to transformers in photovoltaic power plants
(Elsevier, 2024)The increased penetration of renewable energy sources (RESs) as an effective mechanism to reduce carbon emissions leads to an increased weather dependency for power and energy systems. This has created dynamic operation ... -
Probabilistic forecasting informed failure prognostics framework for improved RUL prediction under uncertainty: A transformer case study
(Elsevier Ltd., 2022)The energy transition towards resilient and sustainable power plants requires moving from periodic health assessment to condition-based lifetime planning, which in turn, creates new challenges and opportunities for health ... -
Procedure to predict residual stress pattern in spray transfer multipass welding
(Springer, 2015)Gas metal arc welding (GMAW) is one of the most used joining method in the industry. However, one of the main problems of this process is the generation of residual stresses which have direct impact on the fatigue life of ... -
Processing of magnesium porous structures by infiltration casting for biomedical applications
(Wiley, 2014)Magnesium and its alloys are currently considered to be a promising metallic biomaterial. The interest in magnesium alloys arises from their biocompatibility, bioabsorbility and especially from their mechanical properties, ... -
Project-based collaborative engineering learning to develop Industry 4.0 skills within a PLM framework
(Elsevier B.V., 2017)Training and learning methods for engineering students, in the disciplines of product design and manufacturing, are becoming more difficult and complex since they have to integrate theoretical technical knowledge, skills ... -
A proper orthogonal decomposition analysis upon aerodynamic structures under clean and rough conditions
(AIP Publishing, 2023)A transitional flow regime is known to induce complex flow structures upon aerodynamic geometries such as airfoils, and the dynamics of laminar separation bubbles (LSBs) pose a relevant research field. In addition to being ... -
Quasi-static and dynamic crush behaviour of 3D printed thin-walled profiles reinforced with continuous carbon and glass fibres
(Elsevier, 2021)The present paper investigates the suitability of cFF printed material and technologies for crashworthiness applications. To this end, the quasi-static and dynamic crush behaviour of 3D printed thin-walled hollow profiles ... -
Radiant waste heat recovery from steelmaking and glass industry
(Edp Sciences, 2019)This paper tackles the problem of industrial waste heat recovery through an unexploited heat transfer mechanism: thermal radiation. Energy intensive industries have a considerable potential of unused radiant heat, which ... -
Reactive control of wave energy devices – the modelling paradox
(Elsevier Ltd., 2021)The implementation of energy maximising control systems (EMCSs) in wave energy converter (WEC) devices is an important step towards commercially viable operation of WECs. During the design stage of such EMCSs, linear ... -
Reactive power limits of Cascaded H-Bridge STATCOMs in star and delta configuration under negative-sequence current withstanding
(Elsevier Ltd., 2022)Flexible AC Transmission System devices (FATCS) and in particular Static Synchronous Compensators (STATCOM) play a key role in the evolution of the modern power grids to the future smart grids. The STATCOM is used in an ... -
Real-Time, Model-Agnostic and User-Driven Counterfactual Explanations Using Autoencoders
(MDPI, 2023)Explainable Artificial Intelligence (XAI) has gained significant attention in recent years due to concerns over the lack of interpretability of Deep Learning models, which hinders their decision-making processes. To address ... -
Reduction of distortions in large aluminium parts by controlling machining-induced residual stresses
(Springer, 2018)Large aluminium monolithic parts used in the aeronautic industry frequently show significant geometric distortions after the machining process. These distortions are the consequence of the initial residual stresses of the ... -
Reflection through Diffraction: Interdisciplinarity in Energy Science
(Addleton Academic Publishers, 2022)To address the complexities associated with transitioning towards sustainable energy solutions, there are increasing demands to employ interdisciplinary approaches. However, these still represent a minority of research ... -
Relación directa y mediadora de las TIC sobre el rendimiento de la diversificación empresarial
(Universidad Pablo de Olavide, 2018)El presente estudio analiza el impacto que ejerce el uso de las tecnologías de información y comunicación (TIC) sobre la diversificación y el rendimiento empresarial de las pequeñas y medianas empresas (pymes). A partir ... -
Remote maintenance support with the aid of cyber-physical systems and cloud technology
(Sage Journals, 2018)This article discusses how a business model based on traditional maintenance can evolve to generate servitization strategies, with the help of remote maintenance support. The application of cyber-physical systems and cloud ... -
Retinal Optical Coherence Tomography Features Associated With Incident and Prevalent Parkinson Disease
(American Journal of Analogy, 2023)Background and Objectives Cadaveric studies have shown disease-related neurodegeneration and other morphological abnormalities in the retina of individuals with Parkinson disease (PD); however, it remains unclear whether ... -
Retinal thickness as a biomarker of cognitive impairment in manifest Huntington’s disease
(Springer Nature, 2023)Background Cognitive decline has been reported in premanifest and manifest Huntington’s disease but reliable biomarkers are lacking. Inner retinal layer thickness seems to be a good biomarker of cognition in other ... -
Retinal thickness predicts the risk of cognitive decline in Parkinson's disease
(Wiley, 2021)Objective: To analyze longitudinal changes of retinal thickness and their predictive value as biomarkers of disease progression in idiopathic Parkinson’s disease (iPD). Methods: Patients with Lewy body diseases (LBDs) ... -
Reusability and Flexibility in Parametric Surface-based Models: A Review of Modelling Strategies
(Taylor and Francis Ltd., 2021)CAD systems are indispensable tools in the product design and development process. Through the creation of parametric 3D models,they increase productivity, enable the design of highly complex parts, improve ...
