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Giuseppe Pandarese

Researcher at Marche Polytechnic University

Publications -  32
Citations -  259

Giuseppe Pandarese is an academic researcher from Marche Polytechnic University. The author has contributed to research in topics: Ultrasonic sensor & Axle. The author has an hindex of 7, co-authored 25 publications receiving 175 citations.

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Journal ArticleDOI

FEM based design of experiment for train wheelset diagnostics by laser ultrasonics.

TL;DR: In this paper, the authors proposed a complete finite element model (FEM) for the detection of low energy waves in the thermoelastic-ablative limit while maintaining satisfactory contrast levels for the purpose of defect detection.
Proceedings ArticleDOI

Quantitative validation of an air-coupled ultrasonic probe model by Interferometric laser tomography

TL;DR: In this article, the authors describe the quantitative validation of a finite element (FE) model of the ultrasound beam generated by an air coupled non-contact ultrasound transducer, with boundary conditions given by vibration velocities measured by laser vibrometry on the probe membrane.
Journal ArticleDOI

Automated measurement system for detecting carbonation depth: Image-processing based technique applied to concrete sprayed with phenolphthalein

TL;DR: An automated measurement system for detecting carbonation depth in concrete sprayed with phenolphthalein is discussed, which proves that the highest source of uncertainty is the measurement system, which, on the other hand, is robust to changes in the operator performing the measurement.
Book ChapterDOI

Non-Contact Measurements of the Apparent Density of Green Ceramics with Complex Shape

TL;DR: In this paper, an innovative method for non-contact measurement of the apparent density of green ceramics is presented, which is also suitable to be used during production, based on ultrasonic wave propagation within the material.
Proceedings ArticleDOI

IoT infrared sensor for continuous monitoring of building envelope thermal performances

TL;DR: In this article, an IoT multi-sensor device, called Comfort Eye, is used to identify the main sources of discomfort or inefficiencies of building's envelope, e.g., points of condensation risk and to provide an alternative experimental method for measuring the surface temperature of building elements, through which it is possible to estimate the heat transfer coefficient or U-value.