Sensitivity analysis of the variational model for the particulate expansion of fluidized beds
Abstract
Fluidization experiments were performed by using spherical and non-spherical particles to examine the sensitivity of the variational model to three input parameters: Umf, εmf and Ut. Several correlations for Umf, εmf and Ut were tested and the results were compared with the experimental values. The variational model’s ability to predict the bed expansion (in the form of U=f(ε)) and the interphase drag coefficient was investigated by varying the three input variables by ±20% compared with their experimental values. The variational model for the bed expansion showed the greatest sensitivity to changes in the εmf values. The overestimated values of εmf resulted in underestimating U(ε), and likewise, the underestimated values of εmf resulted in overestimating U(ε). The variational model’s sensitivity to changes in the Umf values is also important. Contrary to εmf, overestimating the values of Umf resulted in overestimating U(ε). The model’s least sensitivity was to the Ut value variation, ...which, if varied by ±20% compared with their experimental values, had a negligible effect on the prediction quality. This study aims to examine the sensitivity of the variational model to Umf, Ut and εmf values obtained from various correlations, in the absence of experimental values.
Keywords:
bed expansion / Fluidization / model sensitivity analysis / particle-fluid interphase drag coefficient / variational modelSource:
Particulate Science and Technology, 2020, 38, 1, 95-104Publisher:
- Taylor and Francis Inc.
Funding / projects:
DOI: 10.1080/02726351.2018.1508100
ISSN: 0272-6351
WoS: 000508075100012
Scopus: 2-s2.0-85059937161
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Institution/Community
IHTMTY - JOUR AU - Đuriš, Mihal AU - Arsenijević, Zorana AU - Kaluđerović-Radoičić, Tatjana PY - 2020 UR - https://cer.ihtm.bg.ac.rs/handle/123456789/2399 AB - Fluidization experiments were performed by using spherical and non-spherical particles to examine the sensitivity of the variational model to three input parameters: Umf, εmf and Ut. Several correlations for Umf, εmf and Ut were tested and the results were compared with the experimental values. The variational model’s ability to predict the bed expansion (in the form of U=f(ε)) and the interphase drag coefficient was investigated by varying the three input variables by ±20% compared with their experimental values. The variational model for the bed expansion showed the greatest sensitivity to changes in the εmf values. The overestimated values of εmf resulted in underestimating U(ε), and likewise, the underestimated values of εmf resulted in overestimating U(ε). The variational model’s sensitivity to changes in the Umf values is also important. Contrary to εmf, overestimating the values of Umf resulted in overestimating U(ε). The model’s least sensitivity was to the Ut value variation, which, if varied by ±20% compared with their experimental values, had a negligible effect on the prediction quality. This study aims to examine the sensitivity of the variational model to Umf, Ut and εmf values obtained from various correlations, in the absence of experimental values. PB - Taylor and Francis Inc. T2 - Particulate Science and Technology T1 - Sensitivity analysis of the variational model for the particulate expansion of fluidized beds VL - 38 IS - 1 SP - 95 EP - 104 DO - 10.1080/02726351.2018.1508100 ER -
@article{ author = "Đuriš, Mihal and Arsenijević, Zorana and Kaluđerović-Radoičić, Tatjana", year = "2020", abstract = "Fluidization experiments were performed by using spherical and non-spherical particles to examine the sensitivity of the variational model to three input parameters: Umf, εmf and Ut. Several correlations for Umf, εmf and Ut were tested and the results were compared with the experimental values. The variational model’s ability to predict the bed expansion (in the form of U=f(ε)) and the interphase drag coefficient was investigated by varying the three input variables by ±20% compared with their experimental values. The variational model for the bed expansion showed the greatest sensitivity to changes in the εmf values. The overestimated values of εmf resulted in underestimating U(ε), and likewise, the underestimated values of εmf resulted in overestimating U(ε). The variational model’s sensitivity to changes in the Umf values is also important. Contrary to εmf, overestimating the values of Umf resulted in overestimating U(ε). The model’s least sensitivity was to the Ut value variation, which, if varied by ±20% compared with their experimental values, had a negligible effect on the prediction quality. This study aims to examine the sensitivity of the variational model to Umf, Ut and εmf values obtained from various correlations, in the absence of experimental values.", publisher = "Taylor and Francis Inc.", journal = "Particulate Science and Technology", title = "Sensitivity analysis of the variational model for the particulate expansion of fluidized beds", volume = "38", number = "1", pages = "95-104", doi = "10.1080/02726351.2018.1508100" }
Đuriš, M., Arsenijević, Z.,& Kaluđerović-Radoičić, T.. (2020). Sensitivity analysis of the variational model for the particulate expansion of fluidized beds. in Particulate Science and Technology Taylor and Francis Inc.., 38(1), 95-104. https://doi.org/10.1080/02726351.2018.1508100
Đuriš M, Arsenijević Z, Kaluđerović-Radoičić T. Sensitivity analysis of the variational model for the particulate expansion of fluidized beds. in Particulate Science and Technology. 2020;38(1):95-104. doi:10.1080/02726351.2018.1508100 .
Đuriš, Mihal, Arsenijević, Zorana, Kaluđerović-Radoičić, Tatjana, "Sensitivity analysis of the variational model for the particulate expansion of fluidized beds" in Particulate Science and Technology, 38, no. 1 (2020):95-104, https://doi.org/10.1080/02726351.2018.1508100 . .