The efficiency of the gaver-stehfest method to solve one-dimensional gas flow model

• Autorzy: Wójcik M. , Szukiewicz M. , Kowalik P. , Próchniak W.

Identyfikatory

DOI

10.12913/22998624/68138

• Języki publikacji: EN

Abstrakty

EN

In this paper we examined the efficiency of one of the methods for numerical inversion of the Laplace transform: the Gaver-Stehfest method to find a solution to a one-dimensional gas flow model with axial dispersion. The algorithm was used to determine values of the axial dispersion coefficients DL and Pèclet numbers Pe on the basis of the pulse tracer technique. The obtained results of Pèclet numbers indicate that the gas flow is neither plug fl ow nor perfect mixing under operation condition. Numerical results are provided to confirm the efficiency of the presented method. Calculations were performed with the use of the CAS program type (Maple®).

Słowa kluczowe

EN

Laplace transform; method for numerical inversion of the Laplace transform; axial dispersion coefficient; program Maple

• Wydawca: Lublin University of Technology ; Polish Society of Ecological Engineering (PTIE), Branch of PTIE in Lublin
• Czasopismo: Advances in Science and Technology. Research Journal
• Rocznik: 2017
• Tom: Vol. 11, no 1
• Strony: 246--252
• Opis fizyczny: Bibliogr. 15 poz., fig., tab.

Twórcy

autor

Wójcik M.

• Department of Chemical and Process Engineering,The Faculty of Chemistry, Rzeszow University of Technology, al. Powstańców Warszawy 12, 35-959 Rzeszow, Poland

autor

Szukiewicz M.

• Department of Chemical and Process Engineering,The Faculty of Chemistry, Rzeszow University of Technology, al. Powstańców Warszawy 12, 35-959 Rzeszow, Poland

autor

Kowalik P.

• Institute of New Chemical Synthesis, al. Tysiąclecia Państwa Polskiego 13a, 24-110 Pulawy, Poland

autor

Próchniak W.

• Institute of New Chemical Synthesis, al. Tysiąclecia Państwa Polskiego 13a, 24-110 Pulawy, Poland

Bibliografia

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Uwagi

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017)