Artikuluak: Envíos recientes
Mostrando ítems 821-840 de 1116
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Experimental evaluation and surface integrity analysis of cryogenic coolants approaches in the cylindrical plunge grinding
(Nature Publishing Group, 2021)Replacement of pollutant fuids with eco-friendly strategies in machining operations signifcantly contributes to protecting the environment, diminishing global warming, and ensuring a healthier workplace for employees. This ... -
Numerical analysis of different mass transfer models for falling film absorbers
(Elsevier Ltd., 2022)Different methodologies have been used in the literature to determine the absorbed vapour mass flux in falling film absorbers. So far, however, there has been little discussion about the impact of different ap- proaches ... -
Design of a Radiant Heat Capturing Device for Steel Mills
(International Centre for Sustainable Development of Energy, Water and Environment Systems, 2021)This paper approaches the energy transition towards decarbonization and lower primary energy use in the steel and glass industries through the exploitation of radiant waste heat. In contrast with exhaust gases heat recovery, ... -
Circular economy implementation in the agricultural sector: Definition, strategies and indicators
(Elsevier B.V., 2021)In the current context of resource scarcity, global climate change, environmental degradation, and increasing food demand, the circular economy (CE) represents a promising strategy for supporting sustainable, restorative, ... -
Human‑centred design in industry 4.0: case study review and opportunities for future research
(Springer, 2021)The transition to industry 4.0 has impacted factories, but it also afects the entire value chain. In this sense, human-centred factors play a core role in transitioning to sustainable manufacturing processes and consumption. ... -
A novel formulation for radial fretting wear: Application to false brinelling in thrust bearings
(Elsevier Ltd., 2021)Radial fretting is defined as the damage caused by the relative motion of a ball under a variable normal load. The conducted experimental tests proved the existence of this damage even in contacting bodies with similar ... -
Power Balancing in Cascaded H-Bridge and Modular Multilevel Converters Under Unbalanced Operation: A Review
(IEEE, 2021)Multilevel Voltage-Source Converters (VSC) based on modular structures are envisioned as a prominent alternative for grid and industry applications. Foremost among these are the Cascaded H-Bridge (CHB) and the Modular ... -
Análisis de las creencias sobre la concepción de la educación física de los futuros docentes durante la formación universitaria
(Juan Carlos Muñoz Díaz, 2021)El objetivo de este estudio consiste en analizar cómo influyen las creencias previas sobre la Educación Física en los futuros docentes de esa área. Así mismo, se pretende valorar en qué medida la formación universitaria ... -
Numerical study of advanced friction modelling for sheet metal forming: influence of the die local roughness
(Elsevier Ltd., 2022)Numerical simulation of sheet metal forming processes has become indispensable in the last decades. Although the complexity of the frictional behaviour is identified as a key factor for the prediction accuracy, the industry ... -
Ofermod y heroísmo humilde: sobre la interpretación de Tolkien
(Universidad de La Laguna, 2021)El presente trabajo estudia la interpretación del heroísmo germano por Tolkien tomando como punto de partida su ensayo-poema «The Homecoming of Beorhtnoth Beorhthelm’s Son» sobre La Batalla de Maldon. A través de textos ... -
Novel High Accuracy Resolver Topology for Space Applications
(MDPI, 2021)In recent years, the space industry has experienced a significant change mainly due to the incursion of private companies, which has shaken up the sector. This new situation allows for a reduction regarding the reliability ... -
Calendar Ageing Model for Li-Ion Batteries Using Transfer Learning Methods
(MDPI, 2021)Getting accurate lifetime predictions for a particular cell chemistry remains a challenging process, largely dependent on time and cost-intensive experimental battery testing. This paper proposes a transfer learning (TL) ... -
Web Augmentation as a Technique to Diminish User Interactions in Repetitive Tasks
(IEEE, 2021)The use of the World Wide Web has experienced extraordinary growth in the last decades. The Web has become the main source of information for millions of users. The number of websites offering content to users is countless. ... -
Influence of the pressure dependent coefficient of friction on deep drawing springback predictions
(Elsevier Ltd., 2016)The aim of this work is to show the influence of defining a pressure dependent friction coefficient onnumerical springback predictions of a DX54D mild steel, a HSLA380 and a DP780 high strength steel. Thepressure dependent ... -
The Interaction between the Sheet/Tool Surface Texture and the Friction/Galling Behaviour on Aluminium Deep Drawing Operations
(MDPI, 2021)The increasing demands for lightweight design in the transport industry have led to an extensive use of lightweight materials such as aluminium alloys. The forming of aluminium sheets however presents significant challenges ... -
Elastic behaviour characterisation of TRIP 700 steel by means of loading-unloading tests
(Elsevier Ltd., 2015)The elastic behaviour of TRIP 700 steel under plastic deformation is analysed. The analysis is carried out by means of classical tensile test and loading–unloading cyclic tests. These tests have been performed using high ... -
Comparison of the hardening behaviour of different steel families : from mild and stainless steel to advanced high strength steels
(Elsevier Ltd., 2015)Although steel has been used in vehicles from the automotive industry's inception, different steel gradesare continually being developed in order to satisfy new fuel economy requirements. For example,advanced high strength ... -
Adaptable and Explainable Predictive Maintenance: Semi-Supervised Deep Learning for Anomaly Detection and Diagnosis in Press Machine Data
(MDPI, 2021)Predictive maintenance (PdM) has the potential to reduce industrial costs by anticipating failures and extending the work life of components. Nowadays, factories are monitoring their assets and most collected data belong ... -
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 ...
