Thermoelasticity and ArUco marker-based model validation of polymer structure: application to the San Giorgio’s bridge inspection robot

Capponi, Lorenzo; Tocci, Tommaso; D’Imperio, Mariapaola; Abidi, Syed Haider; Scaccia, Massimiliano; Cannella, Ferdinando; Marsili, Roberto; Rossi, Gianluca

doi:10.21014/acta_imeko.v10i4.1148

Cited by 4 publications

(4 citation statements)

References 47 publications

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“…The lock-in methodology entails the correlation of the signal captured by each thermal camera pixel with another reference signal. The reference signal must share the frequency of temperature fluctuations (ΔT), matching the frequency of the signal detected by the thermal pixel [30]. Typically, the reference signal is derived from the load cell or displacement and acceleration sensors.…”

Section: Lock-in Signal Processingmentioning

confidence: 99%

TSA and FEM Analysis Applied to CAD/CAM Titanium All-on-Four Prosthesis

Zara,

Tribbiani,

Ferranti

et al. 2024

J. Phys.: Conf. Ser.

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Patient with fully edentulous maxillaries often suffer of several disease as an alteration of facial appearance, difficulties in eating, speech, and chews. Fixed and removable prosthesis can be a solution to rehabilitate this issue. The All-on-Four protocol is one of the possible treatment modalities for implant-supported prosthetics. It consists of placing four implants in an intermorainal position, two perpendicular to the occlusal plane and two tilted distally at a 45° angle. This paper aims to assess the stress distribution on an All-on-Four titanium prosthesis by means of a Thermoelastic Stress Analysis (TSA). This full-field non-contact measurement technique allows, through a thermal imaging camera, to observe how the surface temperature of an object changes under the effect of cyclic load. The principle on which thermoelastic analysis is based is the existence of a relationship between deformation, hence applied stress, and temperature change, called the thermoelastic effect. To perform the tests, the prosthesis was fixed to a resin jaw cast that has similar characteristics to the human bone, so that the same damping that would be present under normal working conditions could be accounted for. The distal artificial molar tooth was kept in contact to a narrow screw, which was attached to a Medium-Force (M-Series) Air-Cooled Shakers made by Santek. This shaker generates a sinusoidal load of 800N with a load cell at 10 Hz frequency, which can maintain the temperature variation of the prosthesis constant. A pre-load was applied before starting the tests. To see the change in temperature a Flir A6751SC thermal camera was used, and videos were acquired with a frame rate of 125 Hz and a resolution of 640x512 pixels. From the experimental TSA tests, the trend of the experimental stress concentration on the titanium specimen was detected. The outcomes of the experimental tests were compared to a 3D prosthesis model by Finite Element Analysis (FEM).

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Section: Lock-in Signal Processingmentioning

confidence: 99%

TSA and FEM Analysis Applied to CAD/CAM Titanium All-on-Four Prosthesis

Zara,

Tribbiani,

Ferranti

et al. 2024

J. Phys.: Conf. Ser.

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“…The RIU is composed of several sub-assemblies made of different materials, such as carbon fiber, steel and aluminum. Fixed Beam and Moving Beam of the robot were built in carbon fiber [45], in order to reduce the weight and the vibrations resulting from the motion and the wind hitting the surface. The set of mechanisms is also composed of wheel carriers and actuation systems that were manufactured in steel in order to guarantee high performance with respect to the cyclic loads.…”

Section: Robot Inspection Unitmentioning

confidence: 99%

A Novel Remote Visual Inspection System for Bridge Predictive Maintenance

et al. 2022

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Predictive maintenance on infrastructures is currently a hot topic. Its importance is proportional to the damages resulting from the collapse of the infrastructure. Bridges, dams and tunnels are placed on top on the scale of severity of potential damages due to the fact that they can cause loss of lives. Traditional inspection methods are not objective, tied to the inspector’s experience and require human presence on site. To overpass the limits of the current technologies and methods, the authors of this paper developed a unique new concept: a remote visual inspection system to perform predictive maintenance on infrastructures such as bridges. This is based on the fusion between advanced robotic technologies and the Automated Visual Inspection that guarantees objective results, high-level of safety and low processing time of the results.

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“…Thermoelastic Stress Analysis (TSA) is one of such non-contact techniques, used to measure full-field stress distributions over the surface of structures that undergo external loading [3]. Contrary to other contactless stress measurement techniques, TSA has the great advantage of not necessitating a surface treatment of the analysed sample [4, 5,6], unlike for example Digital Image Correlation (DIC) [7]. The technique is based on the thermoelastic effect, which states that, in a homogenous elastic material under adiabatic conditions, the rate of change of temperature (∆T ) and the rate of change of stress (∆σ) are linearly related [8].…”

Section: Introductionmentioning

confidence: 99%

Fiducial marker and blob detection-based motion compensation algorithm for Thermoelastic Stress Analysis measurements

Tribbiani,

Zara,

Truffarelli

et al. 2024

J. Phys.: Conf. Ser.

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Non-contact techniques for measuring stress and strain on structures offer advantages including preservation of structural integrity, remote and continuous monitoring, full-field measurement capability, non-destructive testing, and adaptability to various materials. Among them, thermoelastic stress analysis is one of the most established non-contact techniques to measures stress distributions in structures by analysing temperature-induced deformations. This research proposes a methodology for the compensation of the edge effect, a undesirable phenomenon resulting from rigid displacements in the analysed structure when using thermoelasticity approach. These displacements give rise to virtual stress distributions along the sample’s edges. For this purpose, a fiducial marker was used to track rigid displacements in thermal images, that were then processed using a blob detection algorithm, for compensating for edge effects under different loading conditions. The algorithm was capable of measuring the displacement of a sample at different frequencies (5-25Hz) and distances from the target (300-600 mm), with the lowest uncertainty of 0.2 mm. The impact of compensation was found The impact of the compensation was found to be significant, especially at frequencies lower than 10 Hz, where the displacement was the highest.

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Thermoelasticity and ArUco marker-based model validation of polymer structure: application to the San Giorgio’s bridge inspection robot

Cited by 4 publications

References 47 publications

TSA and FEM Analysis Applied to CAD/CAM Titanium All-on-Four Prosthesis

TSA and FEM Analysis Applied to CAD/CAM Titanium All-on-Four Prosthesis

A Novel Remote Visual Inspection System for Bridge Predictive Maintenance

Fiducial marker and blob detection-based motion compensation algorithm for Thermoelastic Stress Analysis measurements

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