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Mostrando ítems 4901-4920 de 4931
Integral Design and Manufacturing Methodology of a Reduced-Scale Servo Press
(IEEE, 2021)
In a context where industrial production boosts both the society and the economy of a country, improvements in industrial processes are key factors for efficient and reliable development of goods and products. New industrial ...
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, ...
A multiscale material model for metallic powder compaction during hot isostatic pressing
(Elsevier, 2023)
The prediction of the distortions during Near-Net-Shape Hot Isostatic Pressing (NNS-HIP) is an intrinsic multiscale problem where the local interactions among particles determine the macroscopic distortions taking place ...
Application of Computer Vision and Deep Learning in the railway domain for autonomous train stop operation
(IEEE, 2020)
The purpose of this paper is to present the results of the analysis of the application of Deep Learning in the railway domain with a particular focus on a train stop operation. The paper proposes an approach consisting of ...
IKARO: plataforma de benchmarking de algoritmos de fuzzing para sistemas embebidos
(Escola Politècnica Superior (EPS) de la Unversitat de Lleida (UdL), 2021)
La presencia de sistemas embebidos conectados aumenta progresivamente representando un desafío el poder actualizar vulnerabilidades una vez han sido desplegados en
campo. Por ello, es necesario optimizar la búsqueda de ...
Estimación cualitativa de la rugosidad mediante algoritmos de aprendizaje automático en una operación de taladradoQualitative estimation of the roughness using automatic learning algorithms in a drilling operation
(Federación de Asociaciones de Ingenieros Industriales de España, 2020)
Correcting distortions of thin-walled machined parts by machine hammer peening
(Elsevier, 2023)
Thin-walled aerostructural components frequently get distorted after the machining process. Reworking to correct distortions or eventually rejecting parts significantly increases the cost. This paper proposes a new approach ...
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 ...
Data-driven energy resource planning for Smart Cities
(IEEE, 2020)
Cities are growing and, therefore, the primary needs, such as the energy resources. Hence, managing them in the proper way becomes essential for a sustainable growth. This paper proposes a data-driven tool based on IoT ...
Feeder mapping and load flow algorithms for LV distribution grids
(IEEE, 2021)
With the advent of the electric vehicle, distributed generation and other emerging technologies such as heat pumps, the complexity and uncertainty of LV Distribution Networks (LVDNs) is increasing. Advanced Metering ...
Experimental verification of the AC resistance effect in Insulated Metal Substrate based Power Converters
(IEEE, 2023)
Insulated Metal Substrate (IMS) based power converters are an excellent solution for thermal dissipation of power converters, but they suffer for limited layer options generating parasitic elements specially in High ...
A High Frequency Magnetic Test Bench with Fast Isothermal Measurements for Large Cores
(IEEE, 2023)
This paper presents a magnetic core test-bench that has been developed for high-frequency measurements. The bench is able to perform tests at 1 MHz, 300 V and in a range of 20 °C to 150 °C. It exhibits precise temperature ...
Magnet eddy current loss calculation method for segmentation analysis on permanent magnet machines
(IEEE, 2011)
Eddy current losses generated in the rotor of permanent magnet machines may lead to an excessive magnet heating. This can cause the magnets to get fully demagnetized so it is very important to analyze the losses on them. ...
Identification of the Constitutive and Friction Models Parameters via a Multi-Objective Surrogate-Assisted Algorithm for the Modeling of Machining - Application to Arbitrary Lagrangian Eulerian Orthogonal Cutting of Ti6Al4V
(ASME, 2024)
The evolution of high-performance computing facilitates the simulation of manufacturing processes. The prediction accuracy of a numerical model of the cutting process is closely associated with the selection of constitutive ...
Optimización de parámetros de CNC de acuerdo a criterios de productividad usando un modelo de máquina basado en redes neuronalesOptimization of CNC parameters according to productivity criteria using a machine model based on neural networks
(Dyna Publishing, 2020)
Every machine-tool user wants to maximize the productivity of their machines looking for balance between speed, precision and lifetime of mechanical components. Nevertheless, because CNCs have wide-ranging use, their correct ...
A Methodology to Determine the Effect of a Novel Modulation in the Reliability of an Automotive DC-Link Capacitor
(IEEE, 2020)
Switched Reluctance Machines (SRM) are considered promising rare-earth free candidates for the next generation electrified vehicles. One of the main drawback of this technology is the need of a large DC-link capacitor to ...
DFA-LC: metodología de diseño para el montaje considerando el ciclo de vida del productoDFA-LC: design for assembly methodology considering the product life cycle
(AEIPRO, 2019)
Las metodologías Design for Assembly (DFA) ayudan al diseñador a tener en cuenta el proceso de montaje durante las fases de desarrollo de un producto (especificaciones, diseño conceptual y diseño en detalle), de esta forma ...
Mondragon ZTIM-HUB: the collaborative network for the development of stem vocations
(2022)
It is well known that STEM (Science, Technology, Engineering & Mathematics) is one of the most heard concepts both in the field of education and in the business sphere, when talking about the socio-economic needs of the ...
Model Predictive Control for EV Chargers Coupling Electro-Thermal and Degradation Battery Models
(IEEE, 2023)
This paper presents an energy management algorithm for an Electric Vehicle (EV) charging station equipped with solar energy generation and local battery-based storage. For this purpose, a practical electric, thermal, and ...
Loss Measurement of Low RDS Devices Through Thermal Modelling - The Advantage of Not Turning it Fully On
(IEEE, 2023)
This paper presents and evaluates a novel method for generating power losses on transistors avoiding high currents. These could heat up the circuit tracks, affecting the accurate thermal modeling of the system. The proposed ...