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Average Moisture Content
The Experts below are selected from a list of 285 Experts worldwide ranked by ideXlab platform
Diego Elustondo – 1st expert on this subject based on the ideXlab platform
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basic density determination for swedish softwoods and its influence on Average Moisture Content of wood packages estimated by measuring their mass
Wood Material Science and Engineering, 2016Co-Authors: Tommy Vikberg, Diego ElustondoAbstract:AbstractIn this work, a set-up with a device measuring the mass of wood packages is examined as an aid to estimate the Average Moisture Content (MC) of wood packages. As the basic density needs to be presumed in the set-up, an estimator of the basic density as a function of log diameter is determined for Norway spruce (Picea abies (L.) Karst) and Scots pine (Pinus sylvestris). In total, 1920 specimens were collected at two different sawmills and analysed for this purpose. Specimens collected at the butt-end of pine had the greatest variation in basic density and it is recommended that they should be omitted when sawmills create their own functions for basic density estimation. Furthermore, the variation in basic density was shown to have the greatest impact on the estimated MC. A maximum error estimator of the MC became 14% at a MC of 70% and 9% at a MC of 10%. It was therefore concluded that the described method should not be used to estimate the MC of packages after drying but can serve as a valuable in…
Tommy Vikberg – 2nd expert on this subject based on the ideXlab platform
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basic density determination for swedish softwoods and its influence on Average Moisture Content of wood packages estimated by measuring their mass
Wood Material Science and Engineering, 2016Co-Authors: Tommy Vikberg, Diego ElustondoAbstract:AbstractIn this work, a set-up with a device measuring the mass of wood packages is examined as an aid to estimate the Average Moisture Content (MC) of wood packages. As the basic density needs to be presumed in the set-up, an estimator of the basic density as a function of log diameter is determined for Norway spruce (Picea abies (L.) Karst) and Scots pine (Pinus sylvestris). In total, 1920 specimens were collected at two different sawmills and analysed for this purpose. Specimens collected at the butt-end of pine had the greatest variation in basic density and it is recommended that they should be omitted when sawmills create their own functions for basic density estimation. Furthermore, the variation in basic density was shown to have the greatest impact on the estimated MC. A maximum error estimator of the MC became 14% at a MC of 70% and 9% at a MC of 10%. It was therefore concluded that the described method should not be used to estimate the MC of packages after drying but can serve as a valuable in…
A.g. Barbosa De Lima – 3rd expert on this subject based on the ideXlab platform
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Water Absorption in Caroá-Fiber Reinforced Polymer Composite at Different Temperatures: A Theoretical Investigation
Diffusion Foundations, 2017Co-Authors: C.j. Silva, A.g. Barbosa De Lima, T.h.f. De Andrade, E.g. Silva, R.q. Da Costa MeloAbstract:Water uptake studies of composite materials reinforced with vegetable fibers shows that they are highly sensitive to environmental influences such as water and temperature. The presence of Moisture leads to impregnation and imperfect interfacial fiber-matrix adhesion, which generate internal stresses porosity and premature system failure. Accordingly, the aim of this work is to study theoretically water absorption in unsaturated polyester composites reinforced with caroa fiber (Neoglaziovia Variegata) at 25, 50 and 70°C by using a transient 3D mathematical model via ANSYS CFX® Software. The samples has composition 30% caroa fiber/70% unsaturated polyester resin and dimensions 6 x 20 x 20 mm3. Results of the Average Moisture Content and Moisture Content distribution during the water uptake are presented and analyzed. Comparison between numerical and experimental data of the Average Moisture Content showed good agreement. It can be concluded that the water absorption rate is faster in the vertex region of the composites, and mainly at higher temperature.
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Water Absorption in Polymer Composites Reinforced with Vegetable Fiber Using Langmuir-Type Model: An Exact Mathematical Treatment
Defect and Diffusion Forum, 2017Co-Authors: W.r. Gomes Dos Santos, R.q. Da Costa Melo, A.g. Barbosa De LimaAbstract:This work presents a theoretical study of the anomalous behavior of Moisture transient diffusion in vegetable fiber-reinforced composites materials using Langmuir-type model. For obtain the analytical solution was used the Laplace transform technique. Results of the absorption kinetics and concentration distribution of water (free and trapped water molecules) within the material along the process are presented and analyzed. Predicted results compared to experimental data of Average Moisture Content have shown that the model was effective for description of the phenomenon, allowing a better understanding about the effects of Moisture migration mechanisms.
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Clay Products Convective Drying: Foundations, Modeling and Applications
Advanced Structured Materials, 2015Co-Authors: A.g. Barbosa De Lima, J. Barbosa Da Silva, G. S. Almeida, José Jefferson Da Silva Nascimento, F. V. S. Tavares, Veralúcia Severina SilvaAbstract:This chapter briefly focuses on the theory and applications of drying process with particular reference to wet clay product. Herein, a modeling based on the heat and liquid diffusion theories including dimensions variations and hygro-thermal-elastic stress analysis, and the mathematical formalism to obtain the numerical solution of the governing equations using finite-volume method are presented. The model considers constant thermo-physical properties and convective boundary conditions at the surface of the solid. Applications have been done to ceramic hollow brick. Predicted results of the Average Moisture Content, surface temperature, and Moisture Content, temperature and stress distributions within the porous solids are shown and analyzed, and for some drying situations they are compared with experimental drying data of the Average Moisture Content and surface temperature of the brick along the continuous drying process.