Modelling and optimization of tensile break force of solid wood elements lengthened by finger joint

Hasanagić, Redžo; Hodžić, Atif; Jurković, Milan

doi:10.1080/01694243.2019.1690266

Cited by 6 publications

(6 citation statements)

References 11 publications

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“…from the basic plan of the experiment. Therefore, the linear form of the model of the roughness parameter Ra can be written in the form: 𝑌 = 4,996 − 1,07𝑋 1 + 0,64𝑋 3 − 0,1𝑋 1 𝑋 2 − 0,165𝑋 1 𝑋 3 − 0,0712𝑋 2 𝑋 3 (6) In order to determine the significance of the regression coefficients for the linear model, we will perform an ANOVA analysis of variance for the given experiment. Variance analysis involves calculating the sum of squares, degrees of freedom and mean square value for given input factors, interactions between them, the overall model and the deviation from the model and the pure error of the model.…”

Section: Mathematical Modelingmentioning

confidence: 99%

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Mathematical model of the influence of some parameters of solid wood machinability on the roughness of the processed surface Ra during planning

Hodžić,

Bijelić,

Hodžić

2023

IOP Conf. Ser.: Mater. Sci. Eng.

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We consider the machinability of the material as a technological feature that expresses the ability of the material to remove the maximum number of shavings from its machined surface in the minimum time with satisfactory processing quality, with as little cutting force as possible and as little tool wear as possible. The aim of the experimental research in this work is to examine the significance of the influential kinematic parameters of the roughness of the machined surface, i.e. of wood density (ρ), feeding speed (s’) and the number of spiral cutting knices (z) in the process of planning massive wood on the roughness of the newly created processing surface, which will vary in 14 trials, of which 6 are repetitions in the central point of the compositional plan, where the roughness parameter Ra is obtained as an output value, and the analysis of experimental data from the point of view of possible achievement of a better quality of the processed surface. The obtained mathematical model is essentially applicable and can be used to optimize the machinability parameters in the planning process of solid wood, and the experimental results can be used in further research into other parameters of the machinability of solid wood in the planning process.

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Section: Mathematical Modelingmentioning

confidence: 99%

“…Variance analysis involves calculating the sum of squares, degrees of freedom and mean square value for given input factors, interactions between them, the overall model and the deviation from the model and the pure error of the model. When labeling, we will use the letters A, B and C for the input factors [6].…”

Section: Mathematical Modelingmentioning

confidence: 99%

Mathematical model of the influence of some parameters of solid wood machinability on the roughness of the processed surface Ra during planning

Hodžić,

Bijelić,

Hodžić

2023

IOP Conf. Ser.: Mater. Sci. Eng.

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“…Therefore, selecting the appropriate finger joint composition is of utmost importance, and considerable attention is dedicated to this aspect. [4] To enhance process efficiency and predictability, numerous authors [5][6][7][8][9] have investigated various aspects of finger joint strength using experimental research, mathematical modeling, and numerical simulation. Their research aims to achieve a single objective -improving process efficiency and control to enhance predictability.…”

Section: Introductionmentioning

confidence: 99%

Comparative Analysis of Bending Strength Properties between Glued and Un-Glued Finger Joints in Beech and Fir Wood Species

Šljivo,

Hasanagić,

Fathi

et al. 2023

IOP Conf. Ser.: Mater. Sci. Eng.

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The aim of this study was to investigate the mechanical behavior of beech and fir finger joints under laboratory conditions. The samples were manufactured using a 9 mm finger joint with glued surfaces, in accordance with the EN 14 080 standard. Polyurethane adhesive of class D3, commonly used for the production of exterior wooden structures in Bosnia and Herzegovina, was applied to the samples. The specimens were subjected to destructive four-point bending tests according to the BAS EN 408 standard, and the achieved bending strength was statistically evaluated and compared to the results of unglued samples.

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“…Wood processing and testing technologies, which have been applied for many years, can modernize the application of knowledge through modeling, simulation, optimization, process theory, and computer technology [35][36][37]. The experimental results were obtained according to relevant standards for determining some physical and mechanical properties of timber EN 408 [38] and EN 789 [39], and using generally accepted scientific methods based on stochastic modeling and optimization [40][41][42][43][44]. Regarding genetic programming versus stochastic modeling, GP with high selection pressure finds a solution earlier, i.e., it converges faster without compromising the quality of the resulting solution, since faster convergence causes a higher probability of getting trapped in the local optimum [45].…”

Section: Introductionmentioning

confidence: 99%

Application of Temperature and Process Duration as a Method for Predicting the Mechanical Properties of Thermally Modified Timber

Chu

Hasanagić

Hodžić

et al. 2022

Forests

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This study aims to investigate the influence of thermal modification (TM) on the physical and mechanical properties of wood. For this purpose, the experimental part focused on selected influential parameters, namely temperature, residence time, and density, while the four-point bending strength is obtained as the output parameter. The obtained experimental data are stochastically modeled and compared with the model created by genetic programming (GP). The classical mathematical analysis obtained treatment parameters in relation to the maximum bending strength (T = 187 °C, t = 125 min = 0.780 g/cm3) and compared with the results obtained by genetic algorithm (GA) (T = 208 °C, t = 122 min, and = 0.728 g/cm3). It is possible to obtain models that describe experimental results well with stochastic modeling and evolutionary algorithms.

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Modelling and optimization of tensile break force of solid wood elements lengthened by finger joint

Cited by 6 publications

References 11 publications

Mathematical model of the influence of some parameters of solid wood machinability on the roughness of the processed surface Ra during planning

Mathematical model of the influence of some parameters of solid wood machinability on the roughness of the processed surface Ra during planning

Comparative Analysis of Bending Strength Properties between Glued and Un-Glued Finger Joints in Beech and Fir Wood Species

Application of Temperature and Process Duration as a Method for Predicting the Mechanical Properties of Thermally Modified Timber

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