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Characterization of Material Defects Using Active Thermography and an Artificial Neural Network

Sebastian Dudzik
Metrology and Measurement Systems | 2013 | No 3 | 491-500 | DOI: 10.2478/mms-2013-0042
Keywords active thermography non-destructive testing defect characterization neural networks
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Abstract

In the paper a method using active thermography and a neural algorithm for material defect characterization is presented. Experimental investigations are conducted with the stepped heating method, so-called time-resolved infrared radiometry, for the test specimen made of a material with low thermal diffusivity. The results of the experimental investigations were used in simulations of artificial neural networks. Simulations are performed for three datasets representing three stages of the heating process occurring in the investigated sample. In this work, the simulation research aimed to determine the accuracy of defect depth estimation with the use of the mentioned algorithm is descibed

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Authors and Affiliations

Sebastian Dudzik

Approximation of Thermal Background Applied to Defect Detection using the Methods of Active Thermography

Sebastian Dudzik
Metrology and Measurement Systems | 2010 | No 4 | 621-636 | DOI: 10.2478/v10178-010-0051-3
Keywords active thermography non-destructive testing heating non-homogeneity correction
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Abstract

In the paper a method for correction of heating non-homogeneity applied in defect detection with the use of active thermography is presented. In the method an approximation of thermal background with second- and third-order surfaces was used, what made it possible to remove partially the background. In the paper the simulation results obtained with the abovementioned method are presented. An analysis of the influence of correction of heating non-homogeneity on the effectiveness of defect detection is also carried out. The simulations are carried out for thermograms obtained on the basis of experiments on a test sample with simulated defects, made of a material of low thermal diffusivity.

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Authors and Affiliations

Sebastian Dudzik

The evaluation of algorithms for determination of the reliability index

A. Dudzik U. Radoń
Archives of Civil Engineering | 2015 | No 3 | 133-147
Keywords random variables reliability index FORM method sensitivity of the reliability index stability dynamic analysis equilibrium path design point
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Abstract

The study deals with stability and dynamic problems in bar structures using a probabilistic approach. Structural design parameters are defined as deterministic values and also as random variables, which are not correlated. The criterion of structural failure is expressed by the condition of non-exceeding the admissible load multiplier and condition of non-exceeding the admissible vertical displacement. The Hasofer-Lind index was used as a reliability measure. The primary research tool is the FORM method. In order to verify the correctness of the calculations Monte Carlo and Importance Sampling methods were used. The sensitivity of the reliability index to the random variables was defined. The limit state function is not an explicit function of random variables. This dependence was determined using a numerical procedure, e.g. the finite element methods. The paper aims to present the communication between the STAND reliability analysis program and the KRATA and MES3D external FE programs.

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Authors and Affiliations

A. Dudzik
U. Radoń

Detection of thinning of homogeneous material using active thermography and classification trees

Sebastian Dudzik Grzegorz Dudek
Metrology and Measurement Systems | 2021 | vol. 28 | No 1 | 89-105 | DOI: 10.24425/mms.2021.135994
Keywords active thermography classification tree defect detection and characterization material thinning detection
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Abstract

Active thermography is an efficient tool for defect detection and characterization as it does not change the properties of tested materials. The detection and characterization process involves heating a sample and then analysing the thermal response. In this paper, a long heating pulse was used on samples with a low thermal diffusivity and artificially created holes of various depths. As a result of the experiments, heating and cooling curves were obtained. These curves, which describe local characteristics of the material, are recognized using a classification tree and divided into categories depending on the material thickness (hole depths). Two advantages of the proposed use of classification trees are: an in-built mechanism for feature selection and a strong reduction in the dimensions of the pattern. Based on the experimental study, it can be concluded that classification trees are a useful tool for the thinning detection of homogeneous material.
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Authors and Affiliations

Sebastian Dudzik
1
Grzegorz Dudek
1
  1. Czestochowa University of Technology, Faculty of Electrical Engineering, Al. Armii Krajowej 17, 42-200 Częstochowa, Poland

Acoustic Emission as a Method for Analyzing Changes and Detecting Damage in Composite Materials During Loading

Katarzyna Panasiuk Krzysztof Dudzik Grzegorz Hajdukiewicz
Archives of Acoustics | 2021 | vol. 46 | No 3 | 399-407 | DOI: 10.24425/aoa.2021.138133
Keywords multilayered composite recycling mechanical properties acoustic emission
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Abstract

Thanks to their excellent strength and durability, composite materials are used to manufacture many important structural elements. In the face of their extensive use, it is crucial to seek suitable methods for monitoring damages and locating their origins. The purpose of the article was to verify the possibility of applying the acoustic emissions (AE) method in the detection of damages in the structures of composite materials. The experimental part comprised static tensile tests carried out on various sandwich composites, including simultaneous registration of elastic waves with increasing loads, carried out with the use of an acousticelectrical sensor connected. The signal obtained from the sensor was then further processed and used to draw up diagrams of the AE hits, amplitude, root mean square of the AE source signal (RMS) and duration in the function of time. These diagrams were then applied on their corresponding stretching curves, the obtained charts were analysed. The results obtained point to a conclusion that the acoustic emissions method can be successfully used to detect and locate composite material damages.
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Bibliography

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Authors and Affiliations

Katarzyna Panasiuk
1
Krzysztof Dudzik
2
Grzegorz Hajdukiewicz
1
  1. Gdynia Maritime University, Faculty of Marine Engineering, Department of Engineering Sciences, Gdynia, Poland
  2. Gdynia Maritime University, Faculty of Marine Engineering, Marine Maintenance Department, Gdynia, Poland

Research Studio for Testing Control Algorithms of Mobile Robots

Sebastian Dudzik Piotr Szeląg Janusz Baran
International Journal of Electronics and Telecommunications | 2020 | vol. 66 | No 4 | 759-768 | DOI: 10.24425/ijet.2020.134038
Keywords mobile robots UAV MATLAB Simulink QDrone
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Abstract

In recent years, a significant development of technologies related to the control and communication of mobile robots, including Unmanned Aerial Vehicles, has been noticeable. Developing these technologies requires having the necessary hardware and software to enable prototyping and simulation of control algorithms in laboratory conditions. The article presents the Laboratory of Intelligent Mobile Robots equipped with the latest solutions. The laboratory equipment consists of four quadcopter drones (QDrone) and two wheeled robots (QBot), equipped with rich sensor sets, a ground control station with Matlab-Simulink software, OptiTRACK object tracking system, and the necessary infrastructure for communication and security. The paper presents the results of measurements from sensors of robots monitoring various quantities during work. The measurements concerned, among others, the quantities of robots registered by IMU sensors of the tested robots (i.e., accelerometers, magnetometers, gyroscopes and others).

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Authors and Affiliations

Sebastian Dudzik
Piotr Szeląg
Janusz Baran

Molecular biology techniques in real life — case study introducing medical students to QF-PCR technique used in medical diagnostics

Kinga A. Kocemba-Pilarczyk Anna Bentke-Imiolek Paulina Dudzik
Folia Medica Cracoviensia | 2023 | Vol. 63 | No 2 | 135-148 | DOI: 10.24425/fmc.2023.145918
Keywords Problem Based Learning medical education QF-PCR prenatal diagnostics paternity tests Next Generation Sequencing
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Abstract

QF-PCR is a widely used molecular biology method. To name just a few of its uses, it is considered to be useful in paternity tests, identification tests or prenatal diagnostics. Therefore, there is a good chance that medical faculty students would come into contact with this technology — directly or indirectly — during their professional work. The following article proposes a teaching classes scenario conducted in the problem-based learning manner, which aims to familiarize students with the QF-PCR technique. In addition, other modern methods of molecular genetics are among topics that students can learn during the problem-based learning modules. The classes are divided into three parts. In the first part, students learn about the possible usage of QF-PCR in paternity tests. The second part focuses on learning about the advantages and limitations of QF-PCR in prenatal diagnosis. Learning activities in the last part are designed to show the limitations of the diagnostic properties of the method — students analyze the case study, in which QF-PCR must be replaced by other modern methods of molecular genetics. By analyzing three independent stories, students learn about usage, advantages and limitations of QF-PCR, and additionally gain knowledge in basic, pre-clinical and clinical sciences. This course is designated as an elective course for final year medical students who have completed either: a basic genetics course, a mo-lecular genetics course, a biochemistry course or a molecular biology course. The focus of the classes is to draw students’ attention to the possible application and rapid development of molecular biology techni-ques, which is the base for modern therapeutic and diagnostic strategies.
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Authors and Affiliations

Kinga A. Kocemba-Pilarczyk
1
Anna Bentke-Imiolek
1
Paulina Dudzik
1
  1. Chair of Medical Biochemistry, Faculty of Medicine, Jagiellonian University Medical College, Kraków, Poland

Highly-efficient fully-fiberized mid-infrared differential frequency generation source and its application to laser spectroscopy

K. Krzempek G. Dudzik A. Hudzikowski A. Gluszek K. Abramski
Opto-Electronics Review | 2017 | vol. 25 | No 4 | 269-274
Keywords Fiber laser Laser spectroscopy Wavelength modulation spectroscopy Nonlinear frequency mixing
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Abstract

Widely-tunable, fully-monolithic, mid-infrared (mid-IR) deference frequency generation source (DFG) is presented. By using a custom designed fiber-pigtailed periodically poled lithium niobate (PPLN) crystal module the idler beam was generated with an efficiency of 21%/W, yielding 2.6 mW of optical output power. The proposed all-fiber configuration radically simplified the optical frequency conversion setup, making it robust and easily configurable. The usefulness of the constructed source was verified by performing simultaneous wavelength modulation spectroscopy (WMS) laser trace gas detection of methane, near 2999 cm−1, and ethane, near 2997 cm−1, via two independently generated, tunable idler beams.

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Authors and Affiliations

K. Krzempek
G. Dudzik
A. Hudzikowski
A. Gluszek
K. Abramski

Implicit neural state functions in hybrid reliability analysis of plane frame

Beata Potrzeszcz-Sut Agnieszka Dudzik Urszula Radoń
Archives of Civil Engineering | 2023 | vol. 69 | No 4 | 55-71 | DOI: 10.24425/ace.2023.147647
Keywords Hybrid FORM method limit state functions neural networks partial safety factors reliability analysis sensitivity
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Abstract

The objective of the article involves presenting innovative approach to the assessment of structural reliability analysis. The primary research method was the First Order Reliability Method (FORM). The Hasofer–Lind reliability index in conjunction with transformation method in the FORM was adopted as the reliability measure. The implicit limit state functions were used in the analysis. The formulation of the random variables functions were created in the Matlab software by means of neural networks (NNs). The reliability analysis was conducted in Comrel module of Strurel computing environment. In the proposed approach, Hybrid FORM method (HF) used the concept in which NNs replaced the polynomial limit state functions obtained from FEM (Finite Elements Method) for chosen limit parameters of structure work. The module Comrel referenced Matlab files containing limit state functions. In the reliability analysis of structure, uncertain and uncorrelated parameters, such us base wind speed, characteristic snow load, elasticity modulus for steel and yield point steel are represented by random variables. The criterion of structural failure was expressed by four limit state functions – two related to the ultimate limit state and two related to the serviceability limit state. Using module Comrel values of the reliability index with the FORM method were determined. Additionally, the sensitivity of the reliability index to random variables and graph of partial safety factors were described. Replacing the FEM program by NNs significantly reduces the time needed to solve the task. Moreover, it enables the parallel formulation of many limit functions without extending the computation time.
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Authors and Affiliations

Beata Potrzeszcz-Sut
1
ORCID: ORCID
Agnieszka Dudzik
1
ORCID: ORCID
Urszula Radoń
1
ORCID: ORCID
  1. Kielce University of Technology, Faculty of Civil Engineering and Architecture, al. Tysiaclecia Panstwa Polskiego 7, 25-314 Kielce, Poland

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