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A coupled 3D wear and fatigue numerical procedure: Application to fretting problems in ultra-high strength steel wires
(Elsevier Ltd., 2021)
This work presents a coupled 3D wear and fatigue numerical procedure for fretting problems in ultra-high strength steel wires that combines Archard’s wear equation with the Smith–Watson–Topper parameter to predict crack ...
Reusability and Flexibility in Parametric Surface-based Models: A Review of Modelling Strategies
(Taylor and Francis Ltd., 2021)
CAD systems are indispensable tools in the product design and development process. Through the creation of parametric 3D models,they increase productivity, enable the design of highly complex parts, improve ...
An analytical approach to calculate stress concentration factors of machined surfaces
(Elsevier Ltd., 2021)
Machining operations affect the properties of the final surface layer, and these can impact on its functional per- formance, particularly on fatigue behaviour. Among the properties of the machined surface, surface topography ...
Energy Efficient and Comfortable Cabin Heating
(Springer Nature Switzerland AG, 2021)
Battery electric vehicles become an increasingly interesting alternative to conventional vehicles with combustion engine as the costs decrease and the driving range improves. Although, the significant decrease of the driving ...
In-SEM micro-machining reveals the origins of the size effect in the cutting energy
(Springer Nature, 2021)
High-precision metal cutting is increasingly relevant in advanced applications. Such precision normally requires a cutting feed in the micron or even sub-micron dimension scale, which raises questions about applicability ...
Partial Power Processing Based Converter for Electric Vehicle Fast Charging Stations
(MDPI, 2021)
This paper focuses on the design of a charging unit for an electric vehicle fast charging station. With this purpose, in first place, different solutions that exist for fast charging stations are described through a brief ...
A Generalization Performance Study Using Deep Learning Networks in Embedded Systems
(MDPI, 2021)
Deep learning techniques are being increasingly used in the scientific community as a consequence of the high computational capacity of current systems and the increase in the amount of data available as a result of the ...
Investigation of diffusive and optical properties of vapour-air mixtures: The benefits of interferometry
(Elsevier Ltd., 2021)
While interferometry has been widely used for diffusion measurements in liquid mixtures, it was hardly applied so far to vapour-gas mixtures. The present work aims to bridge this gap. Using an improved Mach–Zehnder ...
Ball-on-flat linear reciprocating tests: Critical assessment of wear volume determination methods and suggested improvements for ASTM D7755 standard
(Elsevier B.V., 2021)
This work presents a critical assessment of wear volume determination methods for ball-on-flat linear reciprocating sliding tribological tests. It revealed that the ASTM D7755-11 standard leads to the highest relative ...
Steady-state Measurements of Ternary Mixtures in Thermogravitational Microcolumn Using Optical Digital Interferometry
(Springer Nature B.V., 2021)
Steady-state measurements in a thermogravitational microcolumn using optical digital interferometry are presented here for the first time in the literature in the case of ternary mixtures. These measurements enabled the ...