Yazar "Bardak, Timucin" seçeneğine göre listele

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    Determination of strain distributions of solid wood and plywood in bending test by digital image correlation
    (Kastamonu Univ, 2017) Bardak, Timucin; Bardak, Selahattin; Sozen, Eser
    Aim of study: In this study, it is aimed to compare displacement and strain fields of the plywood obtained from fagus coverings, oak (Quecus robur) and beech (Fagus orientalis L.) by digital image correlation method. Material and Methods: As wood material, beech (Fagus orientalis L.), oak (Quecus robur) and plywood obtained from fagus veneers were used. Then the densities and modulus of ruptures of the test specimens were calculated. Digital Image Correlation Analysis (DIC) was developed to resolve the displacement on the surface of a specimen. Deformation of the material can be achieved by tracking the displacement of markers on the sample surface. Main results: The results of the studies were found to be the highest static bending strenght in beech material and the lowest in plywood. The DIC technique is effective in detecting the displacement and strain, which helps to understand the bending behavior of solid wood and plywood Research highlights: The results from this research indicate that the DIC technique is capable of measuring full-field deformations in different wood complex structures. Due to limited DIC study in the field of wood engineering, there is a need for more extensive work in the future.
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    EFFECTS EXAMINATION OF THE FACTORS AFFECTING CHOICE OF TYPE OF FURNITURE WITH DATA MINING TECHNIQUE (DECISION TREE)
    (Health & Environment Assoc, 2018) Bardak, Timucin; Peker, Huseyin; Bardak, Selahattin
    Data mining is the process of analyzing data from different perspectives and summarizing it into beneficial information. Data mining is a very important technique in determining customer behavior. However, the work done on this subject is limited. By analyzing customer behavior, consumer needs can be identified and satisfaction can be increased at the same time. In this study, factors (age, gender, marital status, child status) affecting the selection of the furniture type (classical and modern furniture) will be analyzed using decision tree which is one of the techniques of data mining. Our analysis is intended to guide future research and to assist in the accumulation of knowledge on the implementation of data mining techniques.
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    IMPREGNATION IN WOOD OF PYRITE (FeS2) MATERIAL AND COMPRESSIVE STRENGTH
    (Health & Environment Assoc, 2017) Bardak, Selahattin; Bardak, Timucin; Morkan, Bulent; Tan, Huseyin; Peker, Huseyin
    In this study, it is aimed to have the ability of being identifying to be impregnated with pyrite substance that is the one of the resources of our country of spruce wood (Picea orientalis (L.) Link) in various concentration (1%, 3%, 5%) with boron compounds up to standart of ASTM 1413-76 and identifying the areas of usage in outdoor furniture industry. For that purpose, it is identified that occurrence changes in mechanical features (compression strentgh). According to the experiment results, control samples compression strengths value (32.43 N/mm(2)) is determined as 3% (the highest) pyrite + Boric acide (48.14 N/mm(2)) and 1% (the lowest) Pyrite (36.81 N/mm(2)). When the pyrite material was used both alone and in combination with boron compounds, it increased the compression strengths according to the control sample.
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    Predicting Effects of Selected Impregnation Processes on the Observed Bending Strength of Wood, with Use of Data Mining Models
    (North Carolina State Univ Dept Wood & Paper Sci, 2021) Bardak, Selahattin; Bardak, Timucin; Peker, Huseyin; Sozen, Eser; Cabuk, Yildiz
    Wood materials have been used in many products such as furniture, stairs, windows, and doors for centuries. There are differences in methods used to adapt wood to ambient conditions. Impregnation is a widely used method of wood preservation. In terms of efficiency, it is critical to optimize the parameters for impregnation. Data mining techniques reduce most of the cost and operational challenges with accurate prediction in the wood industry. In this study, three data-mining algorithms were applied to predict bending strength in impregnated wood materials (Pinus sylvestris L. and Millettia laurentii). Models were created from real experimental data to examine the relationship between bending strength, diffusion time, vacuum duration, and wood type, based on decision trees (DT), random forest (RF), and Gaussian process (GP) algorithms. The highest bending strength was achieved with wenge (Millettia laurentii) wood in 10 bar vacuum and the diffusion condition during 25 min. The results showed that all algorithms are suitable for predicting bending strength. The goodness of fit for the testing phase was determined as 0.994, 0.986, and 0.989 in the DT, RF, and GP algorithms, respectively. Moreover, the importance of attributes was determined in the algorithms.
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    Prediction of Wood Density by Using Red-Green-Blue (RGB) Color and Fuzzy Logic Techniques
    (Gazi Univ, 2017) Bardak, Timucin; Bardak, Selahattin
    Density is an important wood property since it correlates to mechanical properties of wood. Fuzzy logic, among the various available Artificial Intelligence techniques, emerges as a good technique in predicting. Digital image analysis is an powerful tool to obtain meaningful data out of an image. In this study, digital image processing based on a red-green-blue (RGB) color examination was practiced to measure the intensity of wood color. Densities of the test samples were measured. Then, a new fuzzy logic model was developed based on these measured values and RGB color intensity of wood. Afterwards, the experimental and modeling data results were compared. 98.17% accuracy was observed between the measurement and the fuzzy logic model. Consequently, Fuzzy logic is visable method for the prediction of the wood density.
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    The effects of the moisture content of laminated veneer lumber on bending strength and deformation determination via two-dimensional digital image correlation
    (Sage Publications Ltd, 2021) Sozen, Eser; Kayahan, Kadir; Bardak, Timucin; Bardak, Selahattin
    This study determined the bending strength values of laminated veneer lumber (LVL) made with beech (Fagus orientalis L.) veneer obtained by the peeling process and having four different moisture content values (0%/oven dry, 12%, 18%, and 25%). Bending tests were carried out in two different ways, i.e., for the flatwise and edgewise aspects of the LVL. Strain maps were created using two-dimensional digital image correlation (2 D DIC) and the samples having different moisture contents were compared. At the same time, the amount of displacement of the samples during the bending test was determined via conventional and DIC methods. Results of the study determined that the moisture content was effective in bending strength and tension zones. It was observed that increasing moisture content created homogeneous distribution of deformation. It was also observed that the data obtained by the 2 D DIC method were compatible with those obtained by the conventional method.
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    The Impact of Nanoparticles and Moisture Content on Bonding Strength of Urea Formaldehyde Resin Adhesive
    (Zagreb Univ, Fac Forestry, 2018) Bardak, Timucin; Sozen, Eser; Kayahan, Kadir; Bardak, Selahattin
    Wood and wood products have been used in different environmental conditions. Moisture content (MC) and relative humidity (RH) are key parameters for these conditions and bonding strength. Nanotechnology has paved the way to more durable adhesives. An experimental study was conducted to examine the effects of various nanoparticles and moisture content on bonding strength of urea formaldehyde (UF) resin adhesive. In this study, nanosilicon dioxide (SiO2) and titanium dioxide (TiO2) were blended with UF. Nanoparticle reinforced adhesives were processed at different nano fillers concentrations (0.5 % and 1 %) and each adhesive was tested at the moisture content of 0 %, 12 %, 18 % and 25 %. According to the results of bonding strength tests, contained nano-SiO2 adhesives showed better bonding strengths as compared to the control (pure UF) and contained nano-TiO2 adhesives. The highest bonding strength has been determined at 12% wood moisture in all specimens. Increasing the moisture content has decreased bonding strength of all samples including control samples. This study showed that nano (SiO2 and TiO2) particles have improved the bonding strength of pure UF. Besides, the addition of nano-SiO2 and nano-TiO2 changed the physicochemical properties of UF adhesive by XRD test. The novelty of this study was to demonstrate that nanoparticles (SiO2 and TiO2) could be beneficial for the bonding strength of UF adhesive in harsh environmental conditions.
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    THE QUALITY COMPARISON OF PARTICLEBOARDS PRODUCED FROM HEARTWOOD AND SAPWOOD OF EUROPEAN LARCH
    (Univ Bio-Bio, 2019) Bardak, Selahattin; Nemli, Gokay; Bardak, Timucin
    In this paper, the impacts of heartwood and sapwood usage on the physical, mechanical, and surface properties and formaldehyde emission of particleboard are investigated. European Larch (Larix decidua) trees are chosen as a raw material. The logs are divided into three segments: sapwood, heartwood and total wood. The highest amounts of cellulose (51,54%), and hemicelluloses (22,24%) in the sapwood, followed by total wood, and the heartwood, respectively. However, the highest amount of lignin (30,54%) was found in the heartwood. The highest extractives values are obtained from heartwood, followed by total wood, and the sapwood, respectively. While the lowest pH value (3,03) is found in heartwood, the sapwood samples provide the highest values (4,95). The highest ash (0,49%) content and amount of condensed tannin (13,89%) are extracted from heartwood, followed by total wood, and sapwood, respectively. The test panels manufactured from sapwood have the smoothest surface (7,49 mu m (R-a), 48,86 mu m (R-y), and 35,12 mu m (R-z)) and the lowest contact angles (67,8 degrees), while the roughest surface (14,20 mu m (R-a), 68,05 mu m (R-y), and 50,02 mu m (R-z)) and highest contact angle (96,9 degrees) are obtained from the panels of heartwood. The thickness swelling (19,88%) and formaldehyde emission (7,28%) values of the panels manufactured from heartwood are significantly lower than the panels manufactured from the total wood and sapwood. The highest modulus of rupture (MOR), modulus of elasticity (MOE), and internal bond (IB) values are observed on sapwood, respectively, 15,60 MPa (MOR), 2201 MPa (MOE), and 0,523 MPa (IB). These mechanical strength values (MOR, MOE, and IB) are followed by total wood, and the heartwood, respectively. Surface smoothness and wettability of the particleboards manufactured from sapwood are better than those of total wood and heartwood.