Thermal Diffusivity of High-Density Polyethylene Samples of Different Crystallinity Evaluated by Indirect Transmission Photoacoustics

Nesic, M. V.; Popović, Miroslav; Rabasović, Mihailo D.; Miličević, Dejan; Suljovrujić, E.; Markushev, D. D.; Stojanović, Ž.

doi:10.1007/s10765-017-2345-0

Cited by 13 publications

(12 citation statements)

References 31 publications

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“…A well-trained three-layer perceptron with back propagation, based upon theory of neural networks. The first method was, consequentially, applied on experimental measurements, with satisfactory results, and published [31](subsection 2.2.3). The results of the application of the model are given in Figure 8: These considerations not only presented us with the possibility of effectively eliminating microphone influence in our future experiments, but also open the possibility of introducing a novel method of microphone characterization.…”

Section: Techniques For Inverse Solving Of Pa Responsementioning

confidence: 99%

“…The pioneering paper concerning the application of self-consistent procedure for the estimation of thermodynamic parameters on experimental data was published in 2018 [31]. HDPE samples had been prepared and characterized in advance at "Vinca" Institute for Nuclear Sciences in such a manner that their thickness and chemical or structural composition could not be questioned [31,[33][34][35][36]. Using methods such as wide angle X-ray diffraction (WAXD) and diffraction scanning calorimetry (DSC), it was proven that regular normalization method (on two levels of thickness) could not be deployed.…”

Section: The Application On Experimental Datamentioning

confidence: 99%

“…The first method was, consequentially, applied on experimental measurements, with satisfactory results, and published [31] (subsection 2.2.3).…”

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confidence: 99%

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Developing the Techniques for Solving the Inverse Problem in Photoacoustics

Nesic

Popović

Galović

2019

Atoms

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In this work, theoretically/mathematically simulated models are derived for the photoacoustic (PA) frequency response of both volume and surface optically-absorbing samples in a minimum volume PA cell. In the derivation process, the thermal memory influence of both the sample and the air of the gas column are accounted for, as well as the influence of the measurement chain. Within the analysis of the TMS model, the influence of optical, thermal, and elastic properties of the sample was investigated. This analysis revealed that some of the processes, characterized by certain sample properties, exert their dominance only in limited modulation frequency ranges, which are shown to be dependent upon the choice of the sample material and its thickness. Based on the described analysis, two methods are developed for TMS model parameter determination, i.e., sample properties which dominantly influence the PA response in the measurement range: a self-consistent procedure for solving the exponential problems of mathematical physics, and a well-trained three-layer perceptron with back propagation, based upon theory of neural networks. The results of the application of both inverse problem solving methods are compared and discussed. The first method is shown to have the advantage in the number of properties which are determined, while the second one is advantageous in gaining high accuracy in the determination of thermal diffusivity, explicitly. Finally, the execution of inverse PA problem is implemented on experimental measurements performed on macromolecule samples, the results are discussed, and the most important conclusions are derived and presented.

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Section: Techniques For Inverse Solving Of Pa Responsementioning

confidence: 99%

Section: The Application On Experimental Datamentioning

confidence: 99%

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Developing the Techniques for Solving the Inverse Problem in Photoacoustics

Nesic

Popović

Galović

2019

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“…Photoacoustics is a non-destructive experimental technique, being extensively developed over the last forty years and finding its application in the characterization and imaging of various materials and devices (Bialkowski 1996;Tam 1986;Vargas and Miranda 1988) The oldest and the most widespread PA technique is frequency gas-microphone method (Galovic et al 2014;Rosencwaig and Gerscho 1976;Rousset et al 1983), which has proven to be very efficient in determination of optical, thermal and elastic properties of semiconductors, semiconductor structures, metals, composite materials, ceramics, polymers, etc. (Balderas-Lopez and Mandelis 2001;Mansanares et al 1991;Markushev et al 2018;Nesic et al 2018;Todorović and Nikolic 2000). In frequency photoacoustics, the sample is illuminated by a monochromatic EM beam of harmonically modulated intensity.…”

Section: Introductionmentioning

confidence: 99%

“…However, in this case, the influence of thermal diffusivity and linear coefficient of thermal expansion are the ones which affect the PA response the most. In this paper, a SCIP is developed for thermoelastic characterization of semiconductors, based on previous experience in polymer characterization (Nesic et al 2019;Nesic et al 2018), with overall good results in a limited measurement frequency range, i.e. in the range where the influence of the measurement chain can be neglected, where only one PA response component is dominant.…”

Section: Introductionmentioning

confidence: 99%

Development and Comparison of the Techniques for Solving the Inverse Problem in Photoacoustics

Nesic¹,

Popović²,

Djordjević³

et al. 2021

Preprint

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In this work, theoretically/mathematically simulated (TMS) model is presented for the photoacoustic (PA) frequency response of a semiconductor in a minimum volume PA cell. By analyzing of the TMS model, the influences of thermal diffusivity and linear coefficient of thermal expansion on silicon sample PA frequency response were investigated and two methods were developed for their estimation. The first one is a self consistent inverse procedure (SCIP) for solving the exponential problems of mathematical physics, based on regression. The second one, a well trained three-layer perceptron with back propagation, based upon theory of artificial neural networks (ANN), is developed and presented. These two inverse problem solving concepts are applied to thermo-elastic characterization of silicon, compared and discussed in the domain of semiconductor characterization.

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Thermal and acoustic insulation properties of wood plastic composites (WPCs) for interior housing applications

Mohammed

Meincken

2022

Eur. J. Wood Prod.

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Thermal Diffusivity of High-Density Polyethylene Samples of Different Crystallinity Evaluated by Indirect Transmission Photoacoustics

Cited by 13 publications

References 31 publications

Developing the Techniques for Solving the Inverse Problem in Photoacoustics

Developing the Techniques for Solving the Inverse Problem in Photoacoustics

Development and Comparison of the Techniques for Solving the Inverse Problem in Photoacoustics

Thermal and acoustic insulation properties of wood plastic composites (WPCs) for interior housing applications

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