In situ particles deposition imaging in centrifugal fields by implemented SPH-DEM-ANN into linear sensor-type wireless electrical resistance tomography (lsWERT)

In situ particles deposition imaging in centrifugal fields by implemented SPH-DEM-ANN into linear sensor-type wireless electrical resistance tomography (lsWERT)

In situ particles deposition images in centrifugal fields have been reconstructed by combination of smoothed particle hydrodynamics, discrete element method, and artificial neural network (SPH-DEM-ANN) which are implemented into linear sensor-type wireless electrical resistance tomography (lsWERT)....

Full description

Saved in:
Bibliographic Details
Main Authors: Kimura, Kota, Prayitno, Yosephus Ardean Kurnianto, Kawashima, Daisuke, Sejati, Prima Asmara, Takei, Masahiro
Format: Article PeerReviewed
Language:English
Published: Elsevier 2022
Subjects:
Mechanical Engineering
Online Access:https://repository.ugm.ac.id/283884/1/Prayitno-3_SV.pdf
https://repository.ugm.ac.id/283884/
http://www.elsevier.com/locate/powtec
https://doi.org/10.1016/j.powtec.2022.117140
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://repository.ugm.ac.id/283884/1/Prayitno-3_SV.pdf
https://repository.ugm.ac.id/283884/
http://www.elsevier.com/locate/powtec
https://doi.org/10.1016/j.powtec.2022.117140

Similar Items