Resin cure monitoring system based on nondestructive dielectric spectrometry

Shtrauss, Vairis; Kalpinsh, Aldis; Lomanovskis, Uldis; Rothahs, J.

doi:10.1007/bf02254695

Cited by 4 publications

(3 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…8. Hero, the values of the density represent masses of sawdust with a constant bulk to be inset into the capacitance transducer [9] of the dielectric spectrometer. While excellent qualitative and quantitative agreement was found for the moisture content, the accuracy and resolution of the density was lower.…”

Section: Results Of Neural Evaluation and Performance Analysismentioning

confidence: 99%

Structural evaluation of materials by artificial neural networks

Shtrauss¹,

Lomanovskis²

1999

Mech Compos Mater

Self Cite

View full text Add to dashboard Cite

show abstract

Section: Results Of Neural Evaluation and Performance Analysismentioning

confidence: 99%

Structural evaluation of materials by artificial neural networks

Shtrauss¹,

Lomanovskis²

1999

Mech Compos Mater

Self Cite

View full text Add to dashboard Cite

show abstract

“…In the last decades, numerous publications have been devoted to development of the methodologies for spectra calculation, see, e.g., Honerkamp and Weese, 11 Baumgaertel and Winter, 12 Emri and Tschoegl, 13 Malkin, 14 Shtrauss and Kalpinsh, 15 Bae and Cho, 16 and references therein. For calculation of the relaxation spectra of polysaccharides xanthan, gellan, welan, and Na CMC different models and mathematical approaches have been applied, that has been presented by numerous authors, for example Zupančič and Žumer, 17 Florjančič et al, 18 Quintana et al, 19 Moraes et al, 20 Lorenzo et al, 21 Lapasin et al, 22 and many others.…”

Section: Relaxation Spectra Of Polysaccharidesmentioning

confidence: 99%

The Effect of Different Numerical Approaches on the Accuracy of Calculating Relaxation Spectra for Polysaccharides

Nikonov

Florjančič

2023

ACSi

View full text Add to dashboard Cite

For polymeric materials, the relaxation spectrum contains complete information about the time-dependent part of the material response. The contribution of different numerical schemes, i.e., different methods of reconstructing the dynamic relaxation modulus, to the accuracy of the approximation by calculating the corresponding relaxation spectra is investigated by analysing experimental data for four types of polysaccharides. It was found that there is no unique mathematical approach for the calculation of relaxation spectra that ensures a satisfactory approximation of the experimentally determined dynamic moduli for the selected types of polymeric materials. It is recommended to combine different numerical methods in parallel to achieve a reasonable approximation of the material functions.

show abstract

“…An advantage of ID method is that it effectively eliminates various effects, such as data truncation, rounding-off, etc., from which cannot be avoided by the frequency-domain methods. The identification method has been also used for constructing discrete-time algorithms for non-linear transforms, such as computing the real and imaginary parts [24,25] and the relaxation spectrum [26,27] from the magnitude response, where a non-linear transform is approximated by the convolution transform. A main drawback of the ID method often pointed out in the literature [17][18][19] is dependence of the filter coefficients on the pair of input and output functions chosen for the identification.…”

Section: Discrete-time Filters For Computing Convolution Transformsmentioning

confidence: 99%

Improving accuracy of FIR filters for computing convolution transforms for smooth non-bandlimited signals

Shtrauss

2019

MATEC Web Conf.

View full text Add to dashboard Cite

We propose to improve the accuracy of FIR filters for computing convolution transforms for smooth non-bandlimited (NBL) signals by designing filters by the identification method with using a pair of bandlimited portions of the chosen NBL input and output signals related with each other by the given transform. A design example of type IV linear phase differentiator is presented, where filter coefficients are calculated from the bandlimited portions of the Cauchy pulse and its derivative. The performance of the designed differentiator is evaluated by comparing the accuracy of computed derivatives for several smooth NBL test signals, such as the Cauchy pulse, the Hilbert transform of Cauchy pulse, the Gaussian function, as well as for a bandlimited sinc-function. Evaluation results demonstrate that the proposed design method generates more accurate differentiators than the Parks-McClellan algorithm, the impulse response truncation method and the identification with using full-band Cauchy pulse and its derivative.

show abstract

Resin cure monitoring system based on nondestructive dielectric spectrometry

Cited by 4 publications

References 3 publications

Structural evaluation of materials by artificial neural networks

Structural evaluation of materials by artificial neural networks

The Effect of Different Numerical Approaches on the Accuracy of Calculating Relaxation Spectra for Polysaccharides

Improving accuracy of FIR filters for computing convolution transforms for smooth non-bandlimited signals

Contact Info

Product

Resources

About