2012
DOI: 10.5307/jbe.2012.37.2.082
|View full text |Cite
|
Sign up to set email alerts
|

Simulation and Model Validation of a Pneumatic Conveying Drying for Wood Dust Particles

Abstract: Purpose:The simulation model of a pneumatic conveying drying (PCD) for sawdust was developed and verified with the experiments. Method: The thermal behavior and mass transfer of a PCD were modeled and investigated by comparing the experimental results given by a reference (Kamei et al. 1952) to validate the model. Momentum, energy and mass balance, one dimensional first order ordinary differential equations, were coded and solved into Matlab V. 7.1.0 (2009). Results: The simulation results showed that the mois… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2012
2012
2020
2020

Publication Types

Select...
4
1

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(2 citation statements)
references
References 14 publications
0
2
0
Order By: Relevance
“…The predicted biogas production obtained from the SPSS program was plotted with the measured biogas production using Matlab software R2011b (7.13.0.564). The statistical indicators R 2 and root mean square error (RMSE) were calculated (Bhattarai, et al, 2012a;Bhattarai, et al, 2012b): …”
Section: Kinetic Modelingmentioning
confidence: 99%
“…The predicted biogas production obtained from the SPSS program was plotted with the measured biogas production using Matlab software R2011b (7.13.0.564). The statistical indicators R 2 and root mean square error (RMSE) were calculated (Bhattarai, et al, 2012a;Bhattarai, et al, 2012b): …”
Section: Kinetic Modelingmentioning
confidence: 99%
“…The predicted methane yield obtained from the SPSS program was plotted with the measured methane yield using Matlab software R2011b (7.13.0.564). The statistical indicators R 2 and root mean square error (RMSE) were calculated (Bhattarai, et al, 2012a;Bhattarai, et al, 2012b): …”
Section: Kinetic Model and Statistical Indicatorsmentioning
confidence: 99%