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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 ...
An automatic thermo-mechanical testing apparatus for metal forming applications
(Elsevier, 2023)
Dynamic testing of materials is necessary to model high-speed forming processes (e.g. hammer forging, blanking, forming, etc.) and crash/impact behaviour of structures, amongst others. The most common machines to perform ...
Sobre lo sagrado y la dimensión poético-antropológica del habla
(Instituto Teológico de Murcia O.F.M., 2024-01-15)
El presente texto estudia la línea de diálogo entre Platón, Aristóteles, Humboldt y Heidegger acerca del fundamento del habla y su dimensión antropológica, a partir de obras selectas sobre filosofía del lenguaje. Se muestra ...
End-over-end (EoE) rotation of toroidal cans: An experimentally validated mathematical modelling study
(Elsevier, 2024)
Toroidal cans have been presented recently to improve the canning process efficiency, and previous studies focused on static and axial rotational processes. End-over-End (EoE) rotation is a significant agitation approach ...
Data-efficient reinforcement learning for variable impedance control
(IEEE, 2024)
One of the most crucial steps toward achieving human-like manipulation skills in robots is to incorporate compliance into the robot controller. Compliance not only makes the robot’s behaviour safe but also makes it more ...
Influence of Al addition on microstructure and electrochemical behaviour of CrMnFeCoNi high-entropy alloy
(Elsevier, 2024)
To develop new corrosion-resistant materials for structural applications, CrMnFeCoNiAlx high-entropy alloys (HEAs) are produced via semi-industrial induction casting. The study aimed to investigate the influence of Al ...
Li-ion Battery State-of-Charge estimation algorithm with CNN-LSTM and Transfer Learning using synthetic training data
(2022)
The development of State-of-Charge (SoC) algorithms for Li-ion batteries involves carrying out different laboratory tests with the money and time that this entails. Furthermore, such laboratory labours must typically be ...
Comparison between Bernardi’s equation and Heat Flux Sensor measurement as Battery Heat Generation Estimation Method
(2022)
The heat generation of an energy storage system is an essential topic when designing a battery pack and its cooling system. Heat generation estimation is used together with thermal models to predict battery temperature in ...
An Experimental Protocol for Human Stress Investigation in Manufacturing Contexts: Its Application in the NO-STRESS Project
(MDPI, 2023)
Stress is a critical concern in manufacturing environments, as it impacts the well-being and performance of workers. Accurate measurement of stress is essential for effective intervention and mitigation strategies. This ...
Berrikuntza prozesu baten mapa berria: eraldaketaren eredua: etorkizuneko irakasleen formazioan eragiten
(Mondragon Unibertsitatea. Humanitate eta Hezkuntza Zientzien Fakultatea, 2020-07)