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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 ...
A comparison between continuous and hairpin windings for electric traction drives
(IEEE, 2023)
Present change in mobility to vehicle electrification involves highly exigent requirements on product performance and production technologies. In the manufacturing of electric machines, the stator winding is the most ...
Development and validation of Human-Robot Experience (HUROX) questionnaire for industrial collaborative contextsDesarrollo y validación del cuestionario Human-Robot eXperience (HUROX) para contextos colaborativos industriales
(AEIPRO, 2023)
An increasing number of robots are being implemented in Industry 5.0, which aims to put the well-being of the operators at the centre. From a human-centred design perspective, it is crucial to assess the perception and ...
Sensitivity Analysis of the Design Parameters of Permanent Magnet Synchronous Motors for Vibration Reduction
(MDPI, 2023)
The use of electric motors, and particularly, Permanent Magnet Synchronous Motors, is increasing in recent years, and their vibration response is one of the most crucial aspects regarding their behaviour. Thus, the reduction ...
Evolución de la fatiga superficial en engranajes de acero al carbono
(2023)
Los engranajes rectos de aceros de bajo contenido de carbono se utilizan ampliamente en aplicaciones de baja exigencia debido a su bajo costo y simplicidad de fabricación. Uno de los fallos más comunes de estos engranajes ...
Aumento de la precisión de posicionado de células robóticas en aplicaciones de mecanizado
(2023)
En las últimas décadas han incrementado las aplicaciones de los robots industriales aumentando también la demanda en la precisión de posicionado. Sin embargo, los robots industriales se caracterizan por ser muy repetitivos ...
Optimal manufacturing configuration selection: sequential decision making and optimization using reinforcement learning
(Elsevier, 2023)
In manufacturing, different costs must be considered when selecting the optimal manufacturing configuration. Costs include manufacturing costs, material costs, labor costs, and overhead costs. Optimal manufacturing ...
Análisis de distribución de carga en husillos a bolas para altas cargas mediante modelos de elementos finitos optimizados
(2023)
Los husillos a bolas son actuadores electro-mecánicos ampliamente utilizados en máquinas y mecanismos como solución de posicionamiento lineal, caracterizándose por su gran rigidez y capacidad de carga. Estos sistemas han ...
PLC orchestration automation to enhance human-machine integration in adaptive manufacturing systems
(Elsevier, 2023)
Current approaches to manufacturing must evolve to respond to increasing demands for short product life cycles and customised products. Adaptive manufacturing systems integrate advanced technologies, automation, and ...
Sensitivity Analysis of Near Solidus Forming (NSF) Process with Digital Twin Using Taguchi Approach
(Springer Nature, 2024)
Forging at near solidus material state takes advantage of the high ductility of the material at the semi solid or soft-solid state while keeping most of the mechanical properties of a forged part. The technology is at ...