Analysis of volumetric swelling and shrinkage of heat treated woods: Experimental and artificial neural network modeling approach

Tiryaki, Sebahattin; Bardak, Selahattin; Aydın, Aytaç; Nemli, Gökay

doi:10.4067/s0718-221x2016005000043

Cited by 18 publications

(18 citation statements)

References 22 publications

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“…However, those authors used basic wood density as a predictive variable. The predictive power of the ANNs was also tested for the estimation of the quality of products such as medium density fiber (MDF) boards and their different bonding strength processes (Tiryaki et al 2016).…”

Section: Modeling: Training Of Neural Networkmentioning

confidence: 99%

Artificial intelligence associated with satellite data in predicting energy potential in the Brazilian savanna woodland area

Carrijo¹,

Miguel²,

Vale³

et al. 2020

iForest

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The use of artificial intelligence to generate information of the savanna's energy capacity may support sustainable management of those areas. We assessed the efficacy of artificial neural networks (ANNs) combined with satellite data to estimate the energy potential (Pe) for cerradão, a dense savannah-like vegetation type in Brazil. We conducted a forest inventory for measuring dendrometric variables and sampling woody materials and barks in a cerradão area in the state of Tocantins, Brazil. The Pe of cerradão biomass was estimated based on the observed higher calorific power and drier biomass values. Six vegetation indices were retrieved from a RapidEye image and tested for correlation to choose the optimum vegetation index for biomass modeling. The basal area and the Normalized Difference Vegetation Index were used as predictors in the Pe modeling. We estimated an average of 19.234 ± 0.411 GJ ton-1 and 19.878 ± 1.090 GJ ton-1 for higher heating values of the wood species and barks, respectively, and an average Pe of 1022.660 GJ ha-1. The best ANN showed an error of 11.3% by using a structure of two, eight, and one neurons in the input layer, in the hidden layer, and in the output layer, respectively, as well as activation functions of the tangential and sigmoidal types. The validation tests showed no significant difference between the observed and ANNpredicted values. Based on our results, we concluded that Pe can be efficiently predicted by combining ANNs and remotely sensed data, which ultimately is a promising tool for forest sustainable management of the cerrado ecosystems.

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Section: Modeling: Training Of Neural Networkmentioning

confidence: 99%

Artificial intelligence associated with satellite data in predicting energy potential in the Brazilian savanna woodland area

Carrijo¹,

Miguel²,

Vale³

et al. 2020

iForest

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“…With drops in humidity and temperature (when the weather changes), wood deforms. Its shrinkage and swelling, alternating, lead to warping and cracking through which water enters the wood structure [ 47 ]. Ultraviolet radiation is a destroyer of wood lignin, which binds cellulose and is the main building substance.…”

Section: Kinetic Façade Role In Modern Building Designmentioning

confidence: 99%

Coherent Investigation on a Smart Kinetic Wooden Façade Based on Material Passport Concepts and Environmental Profile Inquiry

et al. 2021

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Wood is one of the most fully renewable building materials, so wood instead of non-renewable materials produced from organic energy sources significantly reduces the environmental impact. Construction products can be replenished at the end of their working life and their elements and components deconstructed in a closed-loop manner to act as a material for potential construction. Materials passports (MPs) are instruments for incorporating circular economy principles (CEP) into structures. Material passports (MPs) consider all the building’s life cycle (BLC) steps to ensure that it can be reused and transformed several times. The number of reuse times and the operating life of the commodity greatly influence the environmental effects incorporated. For a new generation of buildings, the developing of an elegant kinetic wooden façade has become a necessity. It represents a multidisciplinary region with different climatic, fiscal, constructional materials, equipment, and programs, and ecology-influencing design processes and decisions. Based on an overview of the material’s environmental profile (MEP) and material passport (MP) definition in the design phase, this article attempts to establish and formulate an analytical analysis of the wood selection process used to produce a kinetic façade. The paper will analyze the importance of environmentally sustainable construction and a harmonious architectural environment to reduce harmful human intervention on the environment. It will examine the use of wooden panels on buildings’ façades as one solution to building impact on the environment. It will show the features of the formation of the wooden exterior of the building. It will also examine modern architecture that enters into a dialogue with the environment, giving unique flexibility to adapt a building. The study finds that new buildings can be easily created today. The concept of building materials passport and the environmental selection of the kinetic wooden façade can be incorporated into the building design process. This will improve the economic and environmental impact of the building on human life.

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“…Due to the unique characteristics of wood, such as wet expansion, dry shrinkage, porosity, and anisotropy, the actual use of wood will be affected [ 1 , 2 , 3 ]. Coatings on the surface of wood can make up for these defects and play a role in protection and beautification [ 4 ].…”

Section: Introductionmentioning

confidence: 99%

Mechanism of Thermochromic and Self-Repairing of Waterborne Wood Coatings by Synergistic Action of Waterborne Acrylic Microcapsules and Fluorane Microcapsules

2021

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The fluorane thermochromic microcapsules and waterborne acrylic resin microcapsules were added into waterborne coatings at the same time to prepare intelligent waterborne coating film with dual functions of color change and self-repairing. The coating film prepared by adding 15.0% fluorane microcapsules and 5.0% waterborne acrylic resin microcapsules to the primer at the same time had better comprehensive properties. At this time, the coating film changed from yellow to colorless. The repair rate of the coating film was 58.4%. When the temperature was lower than 32 °C, waterborne acrylic resin microcapsules can improve the thermochromic performance of the coating film with fluorane microcapsules. Waterborne acrylic resin microcapsules can alleviate the color change of coating film with fluorane microcapsules. The fluorane microcapsules can improve the self-repairing performance of coating film with waterborne acrylic resin microcapsules. The results lay a theoretical and technical foundation for multifunctional coating film.

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Analysis of volumetric swelling and shrinkage of heat treated woods: Experimental and artificial neural network modeling approach

Cited by 18 publications

References 22 publications

Artificial intelligence associated with satellite data in predicting energy potential in the Brazilian savanna woodland area

Artificial intelligence associated with satellite data in predicting energy potential in the Brazilian savanna woodland area

Coherent Investigation on a Smart Kinetic Wooden Façade Based on Material Passport Concepts and Environmental Profile Inquiry

Mechanism of Thermochromic and Self-Repairing of Waterborne Wood Coatings by Synergistic Action of Waterborne Acrylic Microcapsules and Fluorane Microcapsules

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