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Numerical analysis of different mass transfer models for falling film absorbers
(Elsevier Ltd., 2022)
Different methodologies have been used in the literature to determine the absorbed vapour mass flux in falling film absorbers. So far, however, there has been little discussion about the impact of different ap- proaches ...
Experimental evaluation and surface integrity analysis of cryogenic coolants approaches in the cylindrical plunge grinding
(Nature Publishing Group, 2021)
Replacement of pollutant fuids with eco-friendly strategies in machining operations signifcantly contributes to protecting the environment, diminishing global warming, and ensuring a healthier workplace for employees. This ...
A novel machine learning‐based methodology for tool wear prediction using acoustic emission signals
(MDPI, 2021)
There is an increasing trend in the industry of knowing in real-time the condition of their assets. In particular, tool wear is a critical aspect, which requires real-time monitoring to reduce costs and scrap in machining ...
Design of a Radiant Heat Capturing Device for Steel Mills
(International Centre for Sustainable Development of Energy, Water and Environment Systems, 2021)
This paper approaches the energy transition towards decarbonization and lower primary energy use in the steel and glass industries through the exploitation of radiant waste heat. In contrast with exhaust gases heat recovery, ...
A novel formulation for radial fretting wear: Application to false brinelling in thrust bearings
(Elsevier Ltd., 2021)
Radial fretting is defined as the damage caused by the relative motion of a ball under a variable normal load. The conducted experimental tests proved the existence of this damage even in contacting bodies with similar ...
Deep learning models for predictive maintenance: a survey, comparison, challenges and prospects
(Springer Science+Business Media, LLC, 2022)
Given the growing amount of industrial data in the 4th industrial revolution, deep learning solutions have become popular for predictive maintenance (PdM) tasks, which involve monitoring assets to anticipate their requirements ...
Demystifying Non-Isolated DC–DC Topologies on Partial Power Processing Architectures
(MDPI, 2022)
This paper discusses the possibility of achieving partial power processing with non-isolated DC–DC topologies. To this end, partial power converter architectures are seen as an interesting solution for reducing the power ...
Analytical Model to Calculate Radial Forces in Permanent-Magnet Synchronous Machines
(MDPI, 2021)
There are three principal sources of noise and vibration in electrical machines: electromagnetic sources, mechanical sources, and aerodynamic sources. Nowadays, one of the major advantages of permanent-magnet synchronous ...
Substitutive Press-Bolster and Press-Ram Models for the Virtual Estimation of Stamping-Tool Cambering
(MDPI, 2021)
Today’s stamping simulations are realized by ignoring the elastic deformation of the press and tooling system through the assumption of a rigid behavior and a perfect press stroke. However, in reality, the press and tool ...
Employee Perceptions About Participation in Decision-Making in the COVID Era and Its Impact on the Psychological Outcomes: A Case Study of a Cooperative in MONDRAGON (Basque Country, Spain)
(Frontiers, 2022)
This research aims to study possible effects or impacts of COVID-19 in the context of a democratic organizational system analyzing how COVID-19 has influenced employees’ perception of their participation in decision-making ...