Zerrendatu Ikerketa-Artikuluak honen arabera: izenburua
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Platform Coops Now!: A Team Entrepreneurship Capacity Building Program to create Platform Coops
(Universidad del País Vasco (UPV)/Euskal Herriko Unibertsitatea (EHU), 2021)Traditional labour relationships have been disrupted due to the digital platforms based businesses. This article aims on the one hand to share the consequences the sharing economy has generated for workers, and how MONDRAGON’s ... -
PLC orchestration automation to enhance human-machine integration in adaptive manufacturing systems
(Elsevier, 2023)Current approaches to manufacturing must evolve to respond to increasing demands for short product life cycles and customised products. Adaptive manufacturing systems integrate advanced technologies, automation, and ... -
A population-specific material model for sagittal craniosynostosis to predict surgical shape outcomes
(Springer Nature, 2020)Sagittal craniosynostosis consists of premature fusion (ossification) of the sagittal suture during infancy, resulting in head deformity and brain growth restriction. Spring-assisted cranioplasty (SAC) entails skull incisions ... -
The Positive Loop at Work: A Longitudinal Long-Term Study of Transformational Leadership, Group Passion, and Employee Result
(Frontiers Media S.A., 2021)Positive psychology and positive organizational behavior studies recognize that leadership is extremely important for generating positive well-being. Despite the frequently reported significant positive correlations, the ... -
Post-forming, electro-plastic effect internal stress reduction in AA5754 aluminium alloy
(Elsevier, 2022)Aluminium alloys are one of the most efficient materials for weight reduction in the car industry. However, the favourable performance of alloys conflicts with the difficulties of transforming these materials through plastic ... -
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 ... -
Power Balancing in Cascaded H-Bridge and Modular Multilevel Converters Under Unbalanced Operation: A Review
(IEEE, 2021)Multilevel Voltage-Source Converters (VSC) based on modular structures are envisioned as a prominent alternative for grid and industry applications. Foremost among these are the Cascaded H-Bridge (CHB) and the Modular ... -
Power Capability Boundaries for an Inverter Providing Multiple Grid Support Services
(MDPI AG, 2020)It is getting more common every day to install inverters that o er several grid support services in parallel. As these services are provided, a simultaneous need arises to know the combined limit of the inverter for those ... -
Power-Electronic-Based DC Distribution Systems for Electrically Propelled Vessels: A multivariable Modeling Approach for Design and Analysis
(IEEE, 2017)The benefits of using power-electronic-based dc distribution systems in electrically propelled vessels are well known. However, some aspects must be deeply analyzed to guarantee a safe, robust, and stable system by design. ... -
Predicting Hospital Ward Admission from the Emergency Department: A Systematic Review
(MDPI, 2023)Background: The emergency department (ED) is often overburdened, due to the high influx of patients and limited availability of attending physicians. This situation highlights the need for improvement in the management of, ... -
Predicting the effect of voids generated during RTM on the low-velocity impact behaviour by machine learning-based surrogate models
(Elsevier, 2023)The main objective of the present paper is to demonstrate the feasibility of machine-learning-based surrogate models for predicting low-velocity impact behaviour considering void content and location generated during the ... -
Prediction of Surface Roughness of SLM Built Parts after Finishing Processes Using an Artificial Neural Network
(MDPI, 2022)A known problem of additive manufactured parts is their poor surface quality, which influences product performance. There are different surface treatments to improve surface quality: blasting is commonly employed to improve ... -
Preliminary Study on the Capability of the Novel Near Solidus Forming (NSF) Technology to Manufacture Complex Steel Components
(MDPI AG, 2020)The benefits of the novel Near Solidus Forming (NSF) process has shown previously in its ability to produce steel components with comparable as-forged mechanical properties but with a cost reduction of 10–15%. This study ... -
A Preliminary Study on the Quality of Joining AISI 316 and AISI 3415 Steel by the Near Solidus Forming Process
(MDPI, 2023)In this study, the Near Solidus Forming (NSF) process, which falls under the umbrella of semi-solid processes, was utilized to coforge an AISI 316 tube and an AISI 3415 rod into an as-forged valve geometry. The billet used ... -
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 ... -
A pricing model to monetize your industrial data
(Frontiers, 2023)Data monetization has become a relevant aspect of the industrial manufacturing. Consequently, this paper proposes a theoretical framework as well as a mathematical model to price industrial data. For this purpose, three ... -
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 ...
