Bilatu
150-tik 31-40 emaitza erakusten
Sensitivity Analysis of Near Solidus Forming (NSF) Process with Digital Twin Using Taguchi Approach
(Springer Nature, 2024)
Forging at near solidus material state takes advantage of the high ductility of the material at the semi solid or soft-solid state while keeping most of the mechanical properties of a forged part. The technology is at ...
Non-invasive Thermohydrodynamic Approach for Fast Cell Manipulation at the Microscale
(Springer, 2024)
Thermal gradients have emerged as a promising technique for manipulating and sorting biological material at the microscale, holding considerable potential in lab-on-a-chip technology. Herein, we propose a non-invasive ...
Euskarazko komunikabideen balio soziala: Argia-ren eta Alea-ren kasu azterketak
(Behategia, 2024)
Euskarazko hedabide batek gizarteari ekartzen
diona dirutan neur litekeena baino askoz
handiagoa da. Ikerketa honek erakusten
duena da, izan Alea-n edo izan Argia-n (eta gauza
bera euskarazko beste hedabideetan), jartzen ...
Evolution of the European offshore renewable energy resource under multiple climate change scenarios and forecasting horizons via CMIP6
(Elsevier, 2024)
The design of the different offshore renewable energy (ORE) technologies depends on the characteristics of wind/wave resources. However, these characteristics are not stationary under climate change. In this study the ...
Machine learning model of acoustic signatures: Towards digitalised thermal spray manufacturing
(Elsevier, 2024)
Thermal spraying, an important industrial surface manufacturing process in sectors such as aerospace, energy and biomedical, remains a skill intensive process often involving multiple trial runs impacting the yield. The ...
Development and Comparison of Rule- and Machine Learning-Based EMS for HESS Providing Grid Services
(IEEE, 2024)
In this paper, a smart machine-learning-based energy management system (MLBEMS) is developed for a hybrid energy storage system (HESS). This HBESS consists of batteries with high-energy (HE) and high-power (HP) characteristics, ...
Multiphysics modeling and experimental validation of heat and mass transfer for the vacuum induction melting process
(Elsevier, 2024)
Vacuum induction melting is crucial in casting nickel-based superalloy components, ensuring excellent properties for aero-engine applications. Precise melting temperatures are vital for achieving optimal metallurgical ...
Influence of Al addition on microstructure and electrochemical behaviour of CrMnFeCoNi high-entropy alloy
(Elsevier, 2024)
To develop new corrosion-resistant materials for structural applications, CrMnFeCoNiAlx high-entropy alloys (HEAs) are produced via semi-industrial induction casting. The study aimed to investigate the influence of Al ...
Web Augmentation: A systematic mapping study
(Elsevier, 2024)
The potential of Web Augmentation lies in the fact that all users need to adapt the content, style, or behavior of the web pages they visit. This is because every human being has different desires and needs, yet everyone ...
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 ...