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Now showing items 4861-4880 of 5086
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 ...
An Experimental Protocol for Human Stress Investigation in Manufacturing Contexts: Its Application in the NO-STRESS Project
(MDPI, 2023)
Stress is a critical concern in manufacturing environments, as it impacts the well-being and performance of workers. Accurate measurement of stress is essential for effective intervention and mitigation strategies. This ...
High Efficiency Converters Based on Modular Partial Power Processing for Fully Electric Maritime Applications
(MDPI, 2023)
This paper proposes an approach for analyzing the benefits that partial-power-processing-based converters can bring to fully electric maritime applications. With the aim of making the system modular and scalable to different ...
An experience in the implementation of the flipped classroom instructional model in the computer science degree
(Wiley, 2023)
In recent years, education has undergone a profound transformation process, having gone from relying only on the traditional lecture to making full use of digital formats. This gradual process, accelerated by the COVID-19 ...
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 ...
Improving Programming Learning in Engineering Students Through Discovery Learning
(IEEE, 2023)
Programming is basic to all engineering studies and a complicated subject for many first-year students. Many of the problems stem from the difficulty students have in finding the solution they need on the Internet, which ...
Performance Improvement of a Silicon Partial Power Converter over a Silicon Carbide Full Power Converter
(IEEE, 2023)
This article studies the new benefits that partial power processing brings to Silicon (Si) devices compared to wide-bandgap technologies. To prove this, the proposed case study consists of an on-board charger (OBC) application ...
Second-order Filter-based Inertia Emulation (SOFIE) for Low Inertia Power Systems
(IEEE, 2024)
The massive integration of power electronic converters into the power grid has led to a decrease in the mechanical inertia of power systems, causing an increase in the rate of change of frequency (RoCoF) that may lead to ...
Effect of near beta-transus forging parameters on the mechanical and microstructural properties of Ti-6Al-4V: Application to hammer forging
(Materials Research Forum LLC., 2023)
Ti-6Al-4V is a widely employed material in the aerospace, power generation and bioengineering industries due to its low density, excellent corrosion resistance and outstanding mechanical properties. Hammer forging is one ...
Ikertzen 15
(Mondragon Unibertsitatea, 2024)
Measurement Based Stochastic Channel Model for 60 GHz Mmwave Industrial Communications
(IEEE, 2023)
Communications in the mmWave spectrum are gaining relevance in the last years as they are a promising candidate to cope with the increasing demand of throughput and latency in different use cases. Nowadays, several efforts ...
Hole quality improvement in CFRP/Ti6Al4V stacks using optimised flow rates for LCO2 and MQL sustainable cooling/lubrication
(Elsevier, 2024)
Carbon fibre reinforced polymer/titanium stacks (CFRP/Ti6Al4V) are employed in aeronautics due to their excellent weight-to-strength ratio and corrosion properties. However, these same material properties present challenges ...
Federated Explainability for Network Anomaly Characterization
(ACM, 2023)
Machine learning (ML) based systems have shown promising results for intrusion detection due to their ability to learn complex patterns. In particular, unsupervised anomaly detection approaches offer practical advantages ...
Search-based Test Case Selection for PLC Systems using Functional Block Diagram Programs
(IEEE, 2023)
Programmable Logic Controllers (PLCs) are the core unit of the production system, which frequently need to implement new processes to address customer needs. These changes must be fully tested to ensure the reliability of ...
Multi-modal person detection and tracking from a mobile robot in a crowded environment
(Scitepress, 2011)
This paper addresses multi-modal person detection and tracking using a 2D SICK Laser Range Finder and a visual camera from a mobile robot in a crowded and cluttered environment. A sequential approach in which the laser ...
Damping characterisation of an elevator rope
(ISMA, 2022)
The ropes of an elevator transmit the vibrations from the motor to the elevator car, and consequently have a great influence on comfort. Therefore, it is of major interest to analyse the dynamic behaviour of these elements. ...
Noise attenuation prediction and analysis in rectangular lined ducts
(ISMA, 2022)
The noise of Heating, Ventilating and Air Conditioning (HVAC) systems is an important aspect when the comfort of the users is compromised. Thus, solutions to attenuate that noise need to be proposed. Linings in ducts are ...
An analytical model of through-thickness photopolymerisation of composites: Ultraviolet light transmission and curing kinetics
(Elsevier, 2020)
In this paper, a kinetic model able to predict the evolution of the through-thickness degree of cure of ultraviolet (UV) cured composites has been developed and validated. The kinetic model, which is based on the autocatalytic ...
Development of a novel method to characterize mean surface peak curvature as a signature of tribological performance of dental implant surfaces
(IOP Publishing, 2020)
The integrity of dental implant surfaces might be compromised during surgical insertion. Wear and topographical modifications can occur during implant insertion, which can potentially have clinical implications. Accordingly, ...