Time | Paper ID | Title / Authors | Keywords | Topic code | Ack. number |
---|---|---|---|---|---|
Fluid & particle processing, Electronics | |||||
(9:30–10:42) (Chair: No data , No data ) | |||||
D01 | Intercalated of two kinds of metal complexes in the layered MnO2 and vacuum heat treatment for improved pseudocapacitive properties | pseudocapacitive properties vacuum heat treatment metal complex | 12-k | 12 | |
D02 | Numerical analysis of Marangoni convection considering the deformation of Liquid-gas Interface | two phase flow Marangoni convection Numerical analysis | 2-a | 61 | |
D03 | Fabrication and electrochemical evaluation of Si anode using bamboo charcoal and CNT mixed thin film | Si anode bamboo charcoal Carbon nanotube | 13-e | 14 | |
D04 | Development of TiO2 nanoparticle mixed plastic decomposed in the environment by light irradiation (Nat. Inst. Tech. or Nippon Inst. Tech. or NITechTC) *Shinoku Kota, | TiO2 nanoparticle mixed plastic polyethylene UV irradiation | 13-f | 87 | |
D05 | Evaluation of liquid spray characteristics using air assist atomizer | Spray Air assist atomizer PIV | 2-g | 112 | |
D06 | Reaction mechanism analysis of polycrystalline SiC-CVD and process design for high-speed uniform growth | Reaction model SiC CVD | 5-h | 48 | |
Break | |||||
Fluid & particle processing, Systems, information, and simulation technologies | |||||
(10:50–12:02) (Chair: No data , No data ) | |||||
D08 | Observation of bubble generation and evaluation of bubble growth rate in alkaline water electrolysis | Alkaline water Electrolysis bubble growth rate hydrogen | 2-a | 74 | |
D09 | Active approach to fault diagnosis of chemical process | fault diagnosis active approach auxiliary signal | 6-b | 79 | |
D10 | Model Study of the influence of phosphorus in the combustion ash on High Temperature Adhesion | Ash Sewage sludge Adhere | 2-f | 114 | |
D11 | Development of a numerical simulation code for curtain coating | Coating Numerical Simulation | 12-h | 110 | |
D12 | Flow analysis of high viscosity fluid in tank and verification by torque and PIV measurement | mixing PIV CFD | 2-b | 11 | |
D13 | Application of machine learning for the control of chemical process with dead time | dead time neural network | 6-d | 93 | |
Lunch break | |||||
Fluid & particle processing, Systems, information, and simulation technologies | |||||
(13:00–14:12) (Chair: No data , No data ) | |||||
D19 | Validations of Revolving Rupture Angle and Repose Angle by DEM | angle of repose rupture angle DEM | 2-f | 102 | |
D20 | Recurrent Neural Networks for fault detection and diagnosis of chemical processes | Chemical process Fault detection and diagnosis Neural Networks | 6-d | 91 | |
D21 | Capacitive deionization using a flow electrode system for lithium recovery | Capacitive deionization Flow electrode Lithium | 2-e | 109 | |
D22 | Suppression of re-entrainment of particles from HEPA filter media under a high loading condition | HEPA filter nuclear power plant Double layer | 2-g | 38 | |
D23 | Time domain synchronization of the monitoring for batch chemical process | batch process monitoring | 6-d | 92 | |
D24 | Influence of the Injection Point on Mixing Performance with FULLZONE using CFD | FULLZONE Mixing Performance CFD | 2-b | 42 | |
Break | |||||
Fluid & particle processing, Electronics | |||||
(14:20–15:20) (Chair: No data , No data ) | |||||
D26 | Charge-discharge characterization of organic active species for aqueous redox flow battery | Redox flow battery Organic active species Coulomb efficiency | 11-a | 104 | |
D27 | Numerical simulations of droplet formation from an inkjet nozzle | inkjet nozzle droplet formation VOF | 2-a | 70 | |
D28 | Change in electromotive force due to difference of salt bridge in Daniell cell | Daniell cell salt bridge electromotive force | 11-a | 52 | |
D29 | Study on dynamic contact angle model for droplet impact simulations | droplet impact dynamic contact angle model simulation | 2-a | 65 | |
D30 | Effect of excess lithium on the lithium-ion conductivity of garnet-type LLZ solid electrolytes | all-solid-state lithium ion batteries garnet-type electrolytes lithium-ion conductivity | 11-a | 108 | |
Break |