Browsing Artikuluak-Ingeniaritza by Title
Now showing items 169-188 of 320
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Lack of association of cranial lacunae with intracranial hypertension in children with Crouzon syndrome and Apert syndrome: a 3D morphometric quantitative analysis
(Springer Berlin Heidelberg, 2019)Purpose Cranial lacunae (foci of attenuated calvarial bone) are CT equivalents ofBcopper beating seen on plain skull radio-graphs in children with craniosynostosis. The qualitative presence of copper beating has not been ... -
Lanbide Heziketako ikastetxeak RIS3aren erronken aurrean. Nafarroako kasua
(Gobierno Vasco. Dirección de Economía y Planificación, 2018)Berrikuntzako sistema erregionalek eta espezializazio estrategia adimentsuek heziketa teknikoan, ETEentzako zerbitzu teknologikoen prestakuntzan eta tokiko garapenean izandako hutsuneak azaldu ondoren, (LH) lanbide-heziketako ... -
Learning and generalising object extraction skill for contact-rich disassembly tasks: an introductory study
(Springer, 2021)Remanufacturing automation must be designed to be flexible and robust enough to overcome the uncertainties, conditions of the products, and complexities in the planning and operation of the processes. Machine learning ... -
Less Rare-Earth Electromagnetic Design for a High-Performance Permanent Magnet Motor
(MDPI, 2022)This paper presents an electromagnetic design alternative using the so-called banana-shaped magnets, achieving magnet weight reduction of 21.82% for the same performance as the baseline motor in the case study. Typically, ... -
Linear Machines for Long Stroke Applications: a review
(IEEE, 2020)This document reviews the current state of the art in the linear machine technology. First,the recent advancements in linear induction, switched reluctance and permanent magnet machines arepresented. The ladder slit secondary ... -
The link between HIWPs and well-being at work: the mediating role of trust
(Emerald Publishing Limited, 2021)Purpose – This paper examines the extent to which investment in human capital (HC) influences employee well-being, focusing on companies in the Basque Country in Northern Spain. Specifically, it analyzes the effects of ... -
Low Cost Photonic Sensor for in-Line Oil Quality Monitoring: Methodological Development Process towards Uncertainty Mitigation
(MDPI AG, 2018)Lubricant and hydraulic fluid ageing impacts the performance of the machines, gears, transmissions or automatisms where they are being used. This manuscript describes the work accomplished for bringing an innovative ... -
Machine Learning Techniques for the Detection of Shockable Rhythms in Automated External Defibrillators
(PLOS, 2016)Early recognition of ventricular fibrillation (VF) and electrical therapy are key for the survivalof out-of-hospital cardiac arrest (OHCA) patients treated with automated external defibrilla-tors (AED). AED algorithms for ... -
Machine Learning-Based Fault Detection and Diagnosis of Faulty Power Connections of Induction Machines
(MDPI, 2021)Induction machines have been key components in the industrial sector for decades, owing to different characteristics such as their simplicity, robustness, high energy efficiency and reliability. However, due to the stress ... -
Managing Multiple Projects in Uncertain Contexts: A Case Study on the Application of a New Approach Based on the Critical Chain Method
(MDPI AG, 2020)Uncertainty and change are two features of modern project management. They strongly influence the project management needs to operate in such contexts. This is the case when a complete and accurate definition of the scope ... -
Material management without forecasting: From MRP to demand driven MRP
(OmniaScience, 2018)Purpose: Efficient Operations and Supply Chain Management is key to building sustainable competitive edge for companies. However, the achievement of this goal is becoming challenging in the present dynamic production ... -
Measurement of plastic strain and plastic strain rate during orthogonal cutting for Ti-6Al-4V
(Elsevier Ltd., 2021)Finite Element Modelling used to predict machining outcomes needs to be supplied with the appropriate material thermomechanical properties which are obtained by specific testing devices and methodologies. However, these ... -
Mecanismo de ancho de vía variable para vehículo eléctrico urbano de tres ruedas
(UNED, 2018)Debido a las dimensiones de los vehículos actuales, la baja tasa de ocupación de los mismos y el aumento de la población mundial, los fabricantes de vehículos están desarrollando diseños compactos orientados a la movilidad ... -
Mechanics of milling 48-2-2 gamma titanium aluminide
(Elsevier Ltd., 2020)Accurate and fast prediction of cutting forces is important in high-performance cutting in the aerospace industry. Gamma titanium aluminide (γ-TiAl) is a material of choice for aerospace and automotive applications due to ... -
A mechanistic model to predict cutting force on orthogonal machining of Aluminum 7475-T7351 considering the edge radius
(Elsevier B.V., 2019)The ploughing force related with action of edge radius is an important factor which influences flow stress, chip formation or surface integrity. Some fraction of the cutting forces are called parasitic (additional) forces ... -
Membrane-containing virus particles exhibits mechanics of a composite material for genome protection
(Royal Society of Chemistry, 2018)The protection of the viral genome during extracellular transport is an absolute requirement for virus survival and replication. In addition to the almost universal proteinaceous capsids, certain viruses add a membrane ... -
Metal cutting experiments and modelling for improved determination of chip/tool contact temperature by infrared thermography
(Elsevier Ltd, 2015)Temperature measurement in metal cutting at the chip and work contact is of central importance due to temperature dependence of tool wear and surface integrity. Infrared thermography is commonly employed to determine the ... -
A methodology and experimental implementation for industrial robot health assessment via torque signature analysis
(MDPI AG, 2020)This manuscript focuses on methodological and technological advances in the field of health assessment and predictive maintenance for industrial robots. We propose a non-intrusive methodology for industrial robot joint ... -
Methodology for data-driven predictive maintenance models design, development and implementation on manufacturing guided by domain knowledge
(Taylor and Francis, 2022)The 4th industrial revolution has connected machines and industrial plants, facilitating process monitoring and the implementation of predictive maintenance (PdM) systems that can save up to 60% of maintenance costs. ...
