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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 ...
An Improved Explicit Reference Modeling Methodology for Parametric Design
(Elsevier, 2023)
The use of formal methodologies for parametric modeling has been shown to significantly improve the robustness and reusability of feature-based CAD models, particularly in response to changes, which has implications in the ...
Exploring the transformation of user interactions to Adaptive Human-Machine Interfaces
(ACM, 2023)
Human-machine interfaces (HMI) facilitate communication between humans and machines, and their importance has increased in modern technology. However, traditional HMIs are often static and do not adapt to individual user ...
Implementation of Project-Based Learning for Design of Experiments Using 3D Printing
(OmniaScience, 2023)
Purpose:This paper aims to present how the project-based learning (PBL) methodology wasimplemented in the Faculty of Engineering of Mondragon Unibertsitatea, located in The Basque Country,Spain, during ...
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 ...
Ikertzen 14
(2023)
Effects of Different Si Content and Thermal Stories on the Secondary Phase Formation, Hot Ductility, and Stress Rupture Properties of Alloy 718 Investment Castings
(Springer, 2023)
Herein, the effects of microstructure on high-temperature properties (hot ductility and stress rupture life) were investigated in alloy 718 investment castings manufactured with different Si contents (0.051, 0.11, and 0.17 ...
Application of material constitutive and friction models parameters identified with AI and ALE to a CEL orthogonal cutting model
(Elsevier B.V., 2023)
The identification of input parameters for funite element modelling of the cutting process is still a complex task as the experimental testing equipment cannot reach its combined levels of strains, strain rates and ...
Force Prediction Methodology for Complex Shape Broaching
(Elsevier B.V., 2023)
Broaching is widely used for the manufacturing of complex geometries which requires high dimensional accuracy and surface finishing (e.g., fir tree, dovetail). A software development for force prediction in complex shape ...
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 ...
Understanding Strategic Response to Covid-19 Crisis in Manufacturing SMEs: A Cluster Analysis
(Springer, 2023)
Manufacturing small- and medium- sized enterprises (SMEs), which play a decisive role in the Spanish and European economy, have been particularly affected by the disruption generated by the COVID-19 crisis, being their ...
Segmentation of Industrial Sectors Based on the Characteristics of Their Greenhouse Gases Emissions
(Springer, 2023)
This paper analyses the characteristics of sectoral contributions to Greenhouse gases emissions based on economic data of industrial energy consumption in Spain and gives some insights about public programmes for emissions ...
A comprehensive analytical sizing methodology for transverse and radial flux machines
(IEEE, 2023)
Transverse flux machines have the potential to offer high torque density in direct-drive vehicle traction applications. Besides, sizing equations are a wide-spread technique for transverse flux machines design, as their ...
Industrial eco-productivity tool: a case study of industrial SMEs
(Springer, 2023)
This paper presents a new, unified method to measure and increase production and environmental performance in industrial SMEs (Small and Medium Enterprises), which have very limited resources, by identifying areas to improve ...
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 ...
Is Team Entrepreneurial Orientation important in generating creative business ideas? The moderating role of team-perceived heterogeneity and the individual creative mindset
(Cognitione' Foundation for the Dissemination of Knowledge and Science, 2023)
PURPOSE: The study aims to unveil if Team Entrepreneurial Orientation (TEO) facilitates identification of creative market opportunities understood as novelty and quality business ideas. Entrepreneurial Orientation (EO) has ...
A maturity model for the autonomy of manufacturing systems
(Springer, 2023)
Modern manufacturing has to cope with dynamic and changing circumstances. Market fluctuations, the effects caused by unpredictable material shortages, highly variable product demand, and worker availability all require ...
Association Between Retinal Features From Multimodal Imaging and Schizophrenia
(JAMA Network, 2023)
Importance. The potential association of schizophrenia with distinct retinal changes is of clinical interest but has been challenging to investigate because of a lack of sufficiently large and detailed cohorts.
Objective. ...
Excess healthcare costs of mental disorders in children, adolescents and young adults in the Basque population registry adjusted for socioeconomic status and sex
(Springer Nature, 2023)
Background
Mental illnesses account for a considerable proportion of the global burden of disease. Economic evaluation of public policies and interventions aimed at mental health is crucial to inform decisions and improve ...