Zerrendatu Artikuluak-Ingeniaritza honen arabera: izenburua
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Mechanical properties of friction induced nanocrystalline pearlitic steel
(Springer Nature, 2022)Nanocrystalline structured variants of commercially available alloys have shown potential for boosting the mechanical properties of these materials, leading to a reduction in waste and thereby retaining feasible supply ... -
Mechanics of milling 48-2-2 gamma titanium aluminide
(Elsevier Ltd., 2020)Accurate and fast prediction of cutting forces is important in high-performance cutting in the aerospace industry. Gamma titanium aluminide (γ-TiAl) is a material of choice for aerospace and automotive applications due to ... -
A mechanistic model to predict cutting force on orthogonal machining of Aluminum 7475-T7351 considering the edge radius
(Elsevier B.V., 2019)The ploughing force related with action of edge radius is an important factor which influences flow stress, chip formation or surface integrity. Some fraction of the cutting forces are called parasitic (additional) forces ... -
Medium voltage-high power converter topologies comparison procedure for a 6.6kV Drive Application using 4.5kV IGBT Modules
(IEEE, 2012)This paper presents a general comparison procedure for medium voltage - high power multilevel converter topologies and semiconductors, which is mainly based on analyzing the performance limits of the converters output ... -
Membrane-containing virus particles exhibits mechanics of a composite material for genome protection
(Royal Society of Chemistry, 2018)The protection of the viral genome during extracellular transport is an absolute requirement for virus survival and replication. In addition to the almost universal proteinaceous capsids, certain viruses add a membrane ... -
Metal cutting experiments and modelling for improved determination of chip/tool contact temperature by infrared thermography
(Elsevier Ltd, 2015)Temperature measurement in metal cutting at the chip and work contact is of central importance due to temperature dependence of tool wear and surface integrity. Infrared thermography is commonly employed to determine the ... -
A method to extract lumped thermal networks of capacitors for reliability oriented design
(Elsevier, 2020)In this work we propose a procedure based on finite element simulations to compute a lumped-parameter thermal model of capacitors. The extracted Foster or Cauer network coupled to the electrical model can be useful to ... -
A methodology and experimental implementation for industrial robot health assessment via torque signature analysis
(MDPI AG, 2020)This manuscript focuses on methodological and technological advances in the field of health assessment and predictive maintenance for industrial robots. We propose a non-intrusive methodology for industrial robot joint ... -
A Methodology for Advanced Manufacturing Defect Detection through Self-Supervised Learning on X-ray Images
(MDPI, 2024)In industrial quality control, especially in the field of manufacturing defect detection, deep learning plays an increasingly critical role. However, the efficacy of these advanced models is often hindered by their need ... -
Methodology for data-driven predictive maintenance models design, development and implementation on manufacturing guided by domain knowledge
(Taylor and Francis, 2022)The 4th industrial revolution has connected machines and industrial plants, facilitating process monitoring and the implementation of predictive maintenance (PdM) systems that can save up to 60% of maintenance costs. ... -
A methodology for model-based verification of safety contracts and performance requirements
(SAGE, 2018)The verification of safety requirements becomes crucial in critical systems where human lives depend on their correct functioning. Formal methods have often been advocated as necessary to ensure the reliability of software ... -
A methodology for performance assessment at system level—Identification of operating regimes and anomaly detection in wind turbines
(Elsevier, 2023)In the growing wind energy sector, as in other high investment sectors, the need to make assets profitable has put the spotlight on maintenance. Efficient solutions which leverage from condition or performance based ... -
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 ... -
Metodología UCAD: nuevo procedimiento de diseño de interfaces centrado en el usuario para la industria 4.0
(Dyna, 2017)La nueva industria inteligente trae consigo una gran transformación y ofrece nuevas oportunidades y posibilidades de mejora para la industria manufacturera. De modo que se han creado nuevos sistemas ciber-físicos de ... -
Microfluidic separation processes using the thermodiffusion effect
(Elsevier B.V., 2018)The numerical and experimental results presented in this work show that a relatively small temperature gradient (5K), has great potential to generate a separation in interesting mixtures for biological purpose. In fact, ... -
A microservice-based framework for multi-level testing of ciber-physical systems
(Springer, 2023)In the last years, the use of microservice architectures is spreading in Cyber-Physical Systems (CPSs) and Internet of Things (IoT) domains. CPSs are systems that integrate digital cyber computations with physical processes. ... -
Microstructural aspects of the transition between two regimes in orthogonal cutting of AISI 1045 steel
(Elsevier, 2018)In depth understanding of tool-chip friction behavior is a significant aspect for tool wear performance in steels. In the present work attention has been paid to the strain mode of the chip section in contact with the rake ... -
Microstructure based flow stress model to predict machinability in ferrite–pearlite steels
(Elsevier Ltd., 2019)A new flow stress model is proposed to describe the behaviour of ferrite–pearlite steels based on microstructure properties, including the effect of high strains, strain rates and temperatures. The model introduces strain ... -
Mixed convolutional and long short-term memory network for the detection of lethal ventricular arrhythmia
(2019)Early defibrillation by an automated external defibrillator (AED) is key for the survival of out-of-hospital cardiac arrest (OHCA) patients. ECG feature extraction and machine learning have been successfully used to detect ...
