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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 ...
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 ...
Non-destructive experimental technique to determine ball contact load in rolling machine elements
(Elsevier, 2024)
Rolling machine elements, such as ball bearings, ball screws, or guiding systems are commonly used in diverse industrial applications. These components typically assume uniform load distribution among the balls or rely on ...
Design and analysis of a voltage ride-through testing solution based on a novel medium-voltage OLTC auto-transformer
(IEEE, 2023)
In this paper, a novel medium-voltage auto-transformer capable of generating under- and over-voltage conditions is introduced. The auto-transformer could emulate grid disturbances at 20kV, 30kV and 35kV, satisfying the ...
Links between circular economy and climate change mitigation in the built environment
(Elsevier, 2020)
The construction sector represents one of the most significant sources of waste generation in the European Union (EU), with nearly one billion tonnes of construction and demolition waste annually. This sector also contributes ...
Comparison between the ETT and LTT Technologies for Electronic OLTC Transformer Applications
(IEEE, 2023)
This paper introduces a novel electronic tap-changer application for renewables with light-triggered thyristors for medium-voltage transformers. The on-chip functionality and robustness of the thyristor support applications ...
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 ...
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 ...
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 ...
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 ...
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 ...
Exploring a Methodological Approach to Assessing the Potential Impact of the Implementation of Circular Economy Strategies on Regional Economies Through Environmentally Extended Input-Output Tables
(DIIM, FTS, University of Novi Sad, 2023)
This article is part of a research stream that aims to evaluate the impact of circular economy policies on greenhouse gas (GHG) emission reduction and the industrial structure of specific regions. Building upon previous ...
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 ...
Definition of 3D Printing Parameters by the Design of Experiments to Characterise Carbon Fibre-Reinforced Polyamide
(Springer, 2024)
This paper presents the application of an advanced quality management tool, the design of experiments (DOE), in order to characterise a new material (carbon fibre-reinforced polyamide) used in the 3D printing process. The ...
Transdisciplinary humanities for social transformation: The Global Digital Humanities degree at Mondragon University AS Fabrik
(Berghahn Journals, 2024-03-01)
The new degree in the Global Digital Humanities has been launched
by the Faculty of Humanities and Education at Mondragon University
on its new urban campus of Bilbao AS Fabrik. In a time of increas-
ing urbanisation, ...
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 ...
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 ...
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 ...
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 ...
Enhancing Flexibility in Industry 4.0 Workflows: A Context-Aware Component for Dynamic Service Orchestration
(Elsevier, 2024)
Manufacturing processes of the future will rely on standards for asset interoperability and service orchestration. The Asset Administration Shell (AAS) facilitates information exchange among Industry 4.0 assets, while ...