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

• Main Authors: Kimura, Kota, Prayitno, Yosephus Ardean Kurnianto, Kawashima, Daisuke, Sejati, Prima Asmara, Takei, Masahiro
• 格式: Article PeerReviewed
• 語言: English
• 出版: Elsevier 2022
• 主題: Mechanical Engineering
• 在線閱讀: 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

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)....