Sergio Marinetti

Construction Technologies Institute

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P. Bison

Construction Technologies Institute

E. Grinzato

Construction Technologies Institute

Antonio Rossetti

Construction Technologies Institute

Silvia Minetto

Construction Technologies Institute

V. P. Vavilov

Tomsk Polytechnic University

Francesco Fabris

Construction Technologies Institute

F. Cernuschi

Oregon State University

Xavier Maldague

Université Laval

Chiara Bressan

National Research Council

ВП

В. П. Вавилов

National Research Tomsk State University

Cooperative Institutions

National Research Council

University of Padua

Construction Technologies Institute

National Academies of Sciences, Engineering, and Medicine

Université Laval

Tomsk Polytechnic University

National Agency for New Technologies, Energy and Sustainable Economic Development

Scientific Research Institute of Introscopy

National Research Tomsk State University

Norwegian University of Science and Technology

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<title>Thermal investigation of real aircraft components</title>

Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (2001)

S. Dal Toe P. Bison Sergio Marinetti E. Grinzato

Composite materials are prone to various damages, particularly if used for aeronautic fuselage components. These parts are increasingly used for civil and military aircraft. Internal defects, invisible on the surface, are detectable by means of different NDT methods, having individual advantages and drawbacks. Here, potentialities of IR Thermography are explored to detect and characterize delaminations and internal cracks on an aircraft door made of composite materials. The non-planar surface of the component has a varying thickness. A detailed study of the defect maps given by different data reduction algorithms is oriented to the design of a fast procedure suitable for an in situ application. In particular, the critical parts of the doors are tested on both sides in reflection and transparent mode. The reliability and quality of results is evaluated comparing thermography with data obtained by different methods as Ultrasounds and Mechanical Impedance. Experimental results show great effectiveness of thermography especially using pulsed techniques and phase analysis.

Fuselage

Thermography

Delamination

10.1117/12.421045

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Citations (1)

Peculiarities of thermal inspection of materials with short observation time

Proceedings of the 2010 International Conference on Quantitative InfraRed Thermography (1994)

V. P. Vavilov E. Grinzato P. Bison Sergio Marinetti

Modem thermal NDT tends to deal with millicentigrade temperature signals occurring for tens of milliseconds.This concerns inspection of either high-conductive materials, such as steel, aluminium etc., or thin materials where heat processes are fast.The paper highlights the correlations between heat pulse duration, life time for signal over defect and frame time of an IR imager.1 .

10.21611/qirt.1994.008

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Citations (2)

Numerical algorithms for an inverse problem of corrosion detection

Communications in Applied and Industrial Mathematics (2010)

Giulia Deolmi Fabio Marcuzzi Sergio Marinetti Silvia Poles Giorgio Fotia

This paper describes a numerical strategy for the detection of hidden corrosion in an internal, unobservable surface of a material object, whose geometry and material properties are known. Since the corrosion is not directly measurable, it is estimated using a nondestructive infrared thermographic inspection. The a priori knowledge about the material object allows us to use a physical-mathematical model to support the estimate. Given a suitable parametrization of the depth of the real corroded profile, the numerical algorithm performs a nonlinear estimate of the corroded model domain parameters, adopting a predictor-corrector scheme.

Parametrization (atmospheric modeling)

Unobservable

10.1685/2010caim539

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Modelling the performance of a new cooling unit for refrigerated transport using carbon dioxide as the refrigerant

International Journal of Refrigeration (2020)

Paolo Artuso Sergio Marinetti Silvia Minetto Davide Del Col Antonio Rossetti

Transcritical cycle

Vapor-compression refrigeration

Cooling capacity

Operating temperature

10.1016/j.ijrefrig.2020.02.032

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Citations (21)

Multi-physics simulation of a CO2 gas cooler.

Antonio Rossetti Sergio Marinetti Silvia Minetto

A CFD model to simulate CO2 gas coolers is presented: the adoption of an equivalent approach allows to reproduce the effects of an extended finned surface while drastically reducing the computational effort. The model is validated with experimental results available in the open literature. The contemporary solution of both convection and conduction allows highlighting the impact of conduction along the tubes and the supporting end plates and provides satisfactory matching with experimental results: total heating power is forecast within 2.5%, while the maximum temperature deviation between the simulated and experimental heat exchanger curves temperature is 3.8, when the CO2 temperature is as high as 108 °C. This thermal CFD model allows to evaluate the 3D effects of the air maldistribution in terms of temperature, heat transfer coefficients, and cooling power, thus opening the way to the simulation and optimisation of complete finned coil and fan gas cooling systems.

10.18462/iir.nh3-co2.2017.0026

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Citations (1)

Recent installations of CO2 supermarket refrigeration system for warm climates: data from the field.

Silvia Minetto S Girotto M. R. Salvatore Antonio Rossetti Sergio Marinetti

Source

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Citations (14)

Experimental assessment of hidden corrosion profile by FEM processing applied to thermographic data

Sergio Marinetti Fabio Marcuzzi

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Citations (0)

Shape Effect on Blind Frequency for Depth Inversion in Pulsed Thermography

Marc Genest E. Grinzato P. Bison Sergio Marinetti Clemente Ibarra‐Castanedo

In this paper, a study is presented indicating that the specimen shape, for orientation smaller than about 30°, does not affect the blind frequency obtained in Pulsed Phase Thermography processing. Therefore, it makes this measurement suitable for depth inversion in the case of non-flat shaped specimens. Theory and experimental results are discussed.

Thermography

Source

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Corrosion detection on pipelines by IR thermography

Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (2011)

P. Bison Sergio Marinetti G. P. Cuogo B. Molinas P. Zonta

IR thermography is applied to detect hidden corrosion on carbon steel pipelines for oil transportation. The research is oriented to set up a robust technique to carry out in situ the early detection of corroded zones that may evolve either towards leakage or failure. The use of thermography associated with a transient thermal technique is investigated on 12.2 mm thick samples, machined to artificially create a reduction of wall thickness that simulates the effect of real corrosion in pipes. The extension and depth of the artificial defects is controlled by ultrasounds which represents the reference for the results obtained by thermography. Two approaches are proposed: the first is based on the processing of a single thermogram taken at the optimum time after a finite pulse heating of a large area of the external surface; the second technique is carried out by scanning the pipeline by means of a device composed of a linear lamp and a thermographic camera which move jointly over the surface to test. A suitable reconstruction provides a map of the tested surface with possible hot spots in correspondence with the corroded areas. The analysis of the thermal problem by Finite Element Method is used to optimize the experimental parameters. The experimental results demonstrate a detection capability starting from 15 % of wall thickness reduction.

Thermography

Leakage (economics)

10.1117/12.884452

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Citations (10)

Automatic Procedure for Thermal NDE of Delaminations in CFRP by Using Neural Networks

Review of Progress in Quantitative Nondestructive Evaluation (1997)

Sergio Marinetti P. Bison E. Grinzato G. Manduchi

This work is a first step in detecting and characterizing defects in an automatic way by using artificial intelligence. Transient thermal NDE by IR thermography is the method used for such a purpose. Data are processed by Neural Networks.

Thermography

Transient (computer programming)

10.1007/978-1-4615-5947-4_101

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Citations (1)