A Computer Model to Simulate Solar and Solar-Dehumidification Lumber Drying

1982 ◽  
Vol 104 (3) ◽  
pp. 182-186 ◽  
Author(s):  
W. A. Helmer ◽  
P. Y. S. Chen ◽  
M. B. Vaidya
Keyword(s):  
Experimental Data ◽  
Computer Simulation ◽  
Simulation Model ◽  
Computer Model ◽  
Computer Simulation Model ◽  
Computer Prediction ◽  
Dry Wood ◽  
Lumber Drying

A computer simulation model was developed for a solar lumber drier and a solar-dehumidification drier. Experimental data taken on an existing solar and solar-dehumidification drier compared well with the computer prediction. The solar-dehumidification lumber drier is able to dry wood about as fast as a conventional drier and yet use less than 50 percent of the fossel fuel energy at the site.

scholarly journals A Three-Dimensional Computer Simulation Model Reveals the Mechanisms for Self-Organization of Plant Cortical Microtubules into Oblique Arrays

2010 ◽  
Vol 21 (15) ◽  
pp. 2674-2684 ◽  
Author(s):  
Ezgi Can Eren ◽  
Ram Dixit ◽  
Natarajan Gautam
Keyword(s):  
Computer Simulation ◽  
Boundary Conditions ◽  
Simulation Model ◽  
Computer Model ◽  
Dynamic Instability ◽  
Three Dimensional ◽  
Computer Simulation Model ◽  
Cortical Microtubules ◽  
Wild Type ◽  
3D Computer Simulation

The noncentrosomal cortical microtubules (CMTs) of plant cells self-organize into a parallel three-dimensional (3D) array that is oriented transverse to the cell elongation axis in wild-type plants and is oblique in some of the mutants that show twisted growth. To study the mechanisms of CMT array organization, we developed a 3D computer simulation model based on experimentally observed properties of CMTs. Our computer model accurately mimics transverse array organization and other fundamental properties of CMTs observed in rapidly elongating wild-type cells as well as the defective CMT phenotypes observed in the Arabidopsis mor1-1 and fra2 mutants. We found that CMT interactions, boundary conditions, and the bundling cutoff angle impact the rate and extent of CMT organization, whereas branch-form CMT nucleation did not significantly impact the rate of CMT organization but was necessary to generate polarity during CMT organization. We also found that the dynamic instability parameters from twisted growth mutants were not sufficient to generate oblique CMT arrays. Instead, we found that parameters regulating branch-form CMT nucleation and boundary conditions at the end walls are important for forming oblique CMT arrays. Together, our computer model provides new mechanistic insights into how plant CMTs self-organize into specific 3D arrangements.

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