Artikuluak-Ingeniaritza: Azken bidalketak
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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 ... -
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 ... -
Inverse Identification of the Ductile Failure Law for Ti6Al4V Based on Orthogonal Cutting Experimental Outcomes
(MDPI, 2021)Despite the prevalence of machining, tools and cutting conditions are often chosen based on empirical databases, which are hard to be made, and they are only valid in the range of conditions tested to develop it. Predictive ... -
Comparative Study of the Metallurgical Quality of Primary and Secondary AlSi10MnMg Aluminium Alloys
(MDPI, 2021)The use of secondary aluminium is increasingly being promoted in the automotive industry for environmental reasons. The purpose of this study was to demonstrate that it is possible to obtain a recycled AlSi10MnMg(Fe) ... -
Electrochemical Model and Sigma Point Kalman Filter Based Online Oriented Battery Model
(IEEE, 2021)This paper presents a reduced-order electrochemical battery model designed for online implementation of battery control systems. This model is based on porous-electrode and concentratedsolution theory frameworks and is ... -
Assessing the statistical validity of momentum-deficit-based measurements in turbulent configurations
(Elsevier Ltd., 2021)An application-agnostic procedure is outlined for checking the validity of momentum-deficit-based drag measurements performed under different turbulent conditions in a wind tunnel. The approach defines a two-step methodology: ... -
Analysis of Permanent Magnet Motors in High Frequency: A Review
(MDPI, 2021)Electric drives consume a great amount of the world’s energy, and it will keep increasing due to the electromobility trend. Thus, the efficiency of electric drives must be improved to reach the desired sustainability goal. ... -
New drawbead tester and numerical analysis of drawbeads closure force
(Springer, 2021)Currently, a great deal of controversy exists regarding the real forces generated in drawbeads during sheet metal forming processes. The present work focuses on the analysis of the uplift force. First, a detailed literature ... -
New design for assembly (DfA) methodology for large and heavy parts assembled on site
(Elsevier Ltd., 2021)A literature review on the assembly design methodologies (DfA) oriented to the assembly of large and heavy parts, reveals the need to develop a DfA methodology. In addition, the lack of DfA evaluation methods for on-site ... -
Design to cost; a framework for large industrial products
(Elsevier Ltd., 2021)A literature review on the assembly design methodologies (DfA) oriented to the assembly of large and heavy parts, reveals the need to develop a DfA methodology. In addition, the lack of DfA evaluation methods for on-site ... -
Development of a Thermal Analysis Tool for Linear Machines
(MDPI, 2021)The thermal design is one of the most important stages in the design process of electrical machines. Thanks to software packages, like Motor-CAD, rotating machine designers can predict the thermal operation of the machines ... -
Computerized generation and tooth contact analysis of spherical gear couplings for high misalignment applications
(Elsevier Ltd., 2021)Spherical gear couplings are a type of toothed coupling where the external spline usually requires highly crowned tooth surfaces to absorb high misalignments. The teeth of the external spline (or hub) may present cross ... -
Data-Driven Fault Diagnosis for Electric Drives: A Review
(MDPI, 2021)The need to manufacture more competitive equipment, together with the emergence of the digital technologies from the so-called Industry 4.0, have changed many paradigms of the industrial sector. Presently, the trend has ...
