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Interferentzia elektromagnetikoaren azterketa potentzia-elektronikako sistemetan Si-WBG trantsizio teknologikoaren testuinguruan
(UEU, 2021)
This research project has analysed the effect of electromagnetic interference (EMI) on power electronics systems, as well as the effect of the transition from silicon-based devices to WBG-based devices. The main goal has ...
Demand Driven MRP – The need to standardise an implementation process
(Universitat Politècnica de València, 2020)
Since the creation of the demand-driven material requirement planning (DDMRP) model, numerous studies have analysed the methodology’s significant impact on different organisations. Several successful cases and research ...
Digital Twin for Final Generated Surface Dimensional Error Analysis at Tool Path Level in Contour Milling
(Elsevier B.V., 2023)
Surface errors in contour milling due to force induced tool deflections have a direct impact on the dimensional and geometrical accuracy of the finished part. In this sense, virtual manufacturing systems provide the ...
Big Data Life Cycle in Shop-floor. Trends and Challenges
(IEEE, 2023)
Big data is defined as a large set of data that could be structured or unstructured. In manufacturing shop-floor, big data incorporates data collected at every stage of the production process. This includes data from ...
A data-driven long-term metocean data forecasting approach for the design of marine renewable energy systems
(Elsevier, 2022)
The potential of Marine Renewable Energy (MRE) systems is usually evaluated based on recent metocean data and assuming the stationarity of the MRE resource. Yet, different studies in the literature have shown long-term ...
Crystal-plasticity-finite-element modeling of the dynamic response of a directionally solidified nickel-based superalloy
(2020)
The flow stress behaviour of a directionally solidified nickel-base superalloy,MAR-M247, is presented through the combination of experiments and crystal-plasticity simulations.The experimental campaign ...
Advantages of Arrowhead Framework for the Machine Tooling Industry
(IEEE, 2020)
Immersed in the digital era and fully experiencing the changes introduced by the new industrial revolution of the so-called Industry 4.0, there are still many aspects of industrial digitization to resolve. Interoperability ...
A post-processing technique for removing ‘irregular frequencies’ and other issues in the results from BEM solvers
(European Wave and Tidal Energy Conference, 2022)
Within the wave energy community, hydrodynamic coefficients obtained from boundary element methods (BEMs) are commonly used to predict the behaviour of wave energy converters (WECs) in response to incident waves. A number ...
A meta-learning strategy based on deep ensemble learning for tool condition monitoring of machining processes
(Elsevier, 2023)
For Industry 4.0, tool condition monitoring (TCM) of machining processes aims to increase process efficiency and quality and lower tool maintenance costs. To this end, TCM systems monitor variables of interest, such as ...
Context-informed conditional anomaly detection approach for wave power plants: The case of air turbines
(Elsevier, 2022)
The reliability and energy production of wave power plants (WPPs) depend on sea-state conditions, operation efficiency and degradation of its constituent assets. Air turbines are key assets for the efficient and reliable ...