Moisture transport in birch lumber at low radio-frequency and contact vacuum drying

2014 ◽  
Vol 72 (6) ◽  
pp. 779-784 ◽  
Author(s):  
V. V. Lopatin ◽  
M. A. Goreshnev ◽  
F. G. Sekisov
Keyword(s):  
Radio Frequency ◽  
Moisture Transport ◽  
Vacuum Drying

scholarly journals Characteristics of Timbers Dried Using Kiln Drying and Radio Frequency-Vacuum Drying Systems

2017 ◽  
Vol 108 ◽  
pp. 10001 ◽  
Author(s):  
Zairul Amin Rabidin ◽  
Gan Kee Seng ◽  
Mohd Jamil Abdul Wahab
Keyword(s):  
Radio Frequency ◽  
Vacuum Drying ◽  
Kiln Drying

RADIO FREQUENCY VACUUM DRYING OF WOOD. I. MATHEMATICAL MODEL

2001 ◽  
Vol 19 (1) ◽  
pp. 65-84 ◽  
Author(s):  
Anastasios Koumoutsakos ◽  
Stavros Avramidis ◽  
Savvas G. Hatzikiriakos
Keyword(s):  
Mathematical Model ◽  
Radio Frequency ◽  
Vacuum Drying

Moisture flow characteristics during radio frequency vacuum drying of thick lumber

1997 ◽  
Vol 31 (4) ◽  
pp. 265-277 ◽  
Author(s):  
Lin Zhang ◽  
Stavros Avramidis ◽  
Savvas G. Hatzikiriakos
Keyword(s):  
Radio Frequency ◽  
Flow Characteristics ◽  
Vacuum Drying ◽  
Moisture Flow

scholarly journals Radio Frequency-Vacuum Drying of Kiwifruits: Kinetics, Uniformity, and Product Quality

2018 ◽  
Vol 11 (11) ◽  
pp. 2094-2109 ◽  
Author(s):  
Xu Zhou ◽  
Ruzhen Xu ◽  
Beihua Zhang ◽  
Shaopei Pei ◽  
Qianqian Liu ◽  
...  
Keyword(s):  
Radio Frequency ◽  
Product Quality ◽  
Vacuum Drying

Non-Deterministic Description of Wood Radio Frequency Vacuum Drying

Holzforschung ◽  
2003 ◽  
Vol 57 (1) ◽  
pp. 88-94 ◽  
Author(s):  
D. Elustondo ◽  
A. Koumoutsakos ◽  
S. Avramidis
Keyword(s):  
Experimental Data ◽  
Mathematical Model ◽  
Standard Deviation ◽  
Moisture Content ◽  
Radio Frequency ◽  
Western Hemlock ◽  
Vacuum Drying ◽  
Drying Process ◽  
Stochastic Parameters ◽  
Deterministic Description

Summary A numerical method is proposed to predict the stochastic dispersion of data that unavoidably occurs in a real drying process. The method is based on the use of discrete frequency distribution curves to predict a random variation on some parameters of the process and is applied to the case of radio frequency vacuum (RFV) drying of wood. Experimental data of RFV drying of western hemlock timbers were used to obtain the numeric values of the stochastic parameters and their standard deviation. A mathematical model was designed to simulate the final moisture content dispersion on hypothetical examples. Results were quantified using three indices: average, range and standard deviation.

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