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Evaluación de la experiencia de uso de un entorno robótico industrial en realidad virtualEvaluation of the user experience of an industrial robotic environment in virtual reality
(AEIPRO, 2022)
Industry 4.0 is leading to a whole new level of process automation, thus redefining the role of humans, and altering existing jobs in yet unknown ways. Although the number of robots in the manufacturing industry has been ...
UX-for Smart-PSS: Towards a Context-Aware Framework
(SCITEPRESS, 2022)
Smart-product service systems are a business strategy that combines product and service into one value proposition. The user experience of digital services and the smart product can be a clear differentiator among competitors ...
High-Frequency Modelling of Windings
(IEEE, 2022)
Electrical drives consume a great amount of the world’s energy, and this will keep increasing due to the electromobility trend. Hence, the efficiency of electrical drives must be improved to reach sustainability. Silicon ...
Hole quality analysis of AISI 304-GFRP stacks using robotic drilling
(Elsevier B.V., 2022)
Although drilling of FRP - metal stacks is the most widely used machining operation for these materials, it remains challenging in many aspects (tool wear, vibrations, delamination, poor surface finish, etc). In this ...
Numerical modelling of the drag finishing process at a macroscopic scale to optimize surface roughness improvement on additively manufactured (SLM) Inconel 718 parts
(Elsevier B.V., 2022)
Drag finishing is one of the mass finishing processes that enhances surface roughness on complex and rough parts produced by additive manufacturing. This paper proposes a model to simulate abrasive media flowing around the ...
Data Sovereignty for AI Pipelines: Lessons Learned from an Industrial Project at Mondragon Corporation
(ACM, 2022)
The establishment of collaborative AI pipelines, in which multiple organizations share their data and models, is often complicated by lengthy data governance processes and legal clarifications. Data sovereignty solutions, ...
Active Power Optimization of a Turning Process by Cutting Conditions Selection: A Q-Learning Approach
(IEEE, 2022)
In the context of Industry 4.0, the optimization of manufacturing processes is a challenge. Although in recent years many of the efforts have been in this direction, there is still improvement opportunities in these ...
On the Cost-Effectiveness of Composite Metamorphic Relations for Testing Deep Learning Systems
(IEEE, 2022)
Deep Learning (DL) components are increasing their presence in mission and safety-critical systems, such as autonomous vehicles. The verification process of such systems needs to be rigorous, for which automated solutions ...
Towards Standardized Manufacturing as a Service through Asset Administration Shell and International Data Spaces Connectors
(IEEE, 2022)
This paper presents an industrial scenario that simulates a Manufacturing as a Service system for the execution of remote production orders built upon the implementation of emerging Asset Administration Shell (AAS) ...
Influence of Manufacturing Tolerances and Eccentricities on the Electromotive Force in Permanent Magnet Synchronous Motors
(IEEE, 2022)
Eccentricity is a common error in electric motors, so its diagnosis is an important issue. Therefore, the effect of static and dynamic eccentricities on the harmonics of the frequency spectra of the voltage of a phase is ...