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R. Louro

Researcher at University of Lisbon

Publications -  13
Citations -  195

R. Louro is an academic researcher from University of Lisbon. The author has contributed to research in topics: Welding & Friction stir welding. The author has an hindex of 5, co-authored 13 publications receiving 162 citations. Previous affiliations of R. Louro include Technical University of Lisbon.

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Journal ArticleDOI

Analysis of high temperature plastic behaviour and its relation with weldability in friction stir welding for aluminium alloys AA5083-H111 and AA6082-T6

TL;DR: In this paper, the influence of the plastic behavior of two aluminium alloys, very popular in welding construction, on friction stir weldability was analyzed. And the relationship between weldability, material flow during FSW and the plastic behaviour of the base materials, at different temperatures, was analyzed and compared.
Journal ArticleDOI

High speed friction stir welding of aluminium alloys

TL;DR: In this article, the weldability of AA 5083-H111 and AA 6082-T6 alloys, which are widely used in welding fabrication, is compared by analysing the welds obtained from both materials under a large range of welding conditions (varying tool dimensions, rotation and traverse speeds, axial loads and tilt angles) chosen to ensure high welding speeds.
Journal ArticleDOI

Using torque sensitivity analysis in accessing Friction Stir Welding/Processing conditions

TL;DR: In this paper, the relation between base materials properties, plate thickness, welding conditions and torque evolution was explored, which constitutes a novelty relative to the previous studies on this subject, and the relations between processing parameters, classified as independent variables, and corresponding welding results, classifying as dependent variables, using torque sensitivity analysis.
Book ChapterDOI

A Fuzzy Classification Solution for Fault Diagnosis of Valve Actuators

TL;DR: A fuzzy classification solution for fault diagnosis of valve actuators with belongingness of the current state to the normal and/or a faulty state is described with the help of fuzzy sets.
Proceedings ArticleDOI

A fuzzy classifier for fault diagnosis of valve actuators

TL;DR: A fuzzy classifier for fault diagnosis of valve actuators using fuzzy membership functions for the feature vector to be classified using fuzzy sets is described.