Influence of edge band material on selected properties of particleboard slats

Piotr Borysiuk, Bartosz Wacikowski, Wojciech Jasiński, Łukasz Adamik, Radosław Auriga

Abstract


As part of the research, narrow surfaces of slats made of three-layer laminated chipboard with a density of 600 kg/m3 and a thickness of 18 mm were covered with edgeAs part of the research, narrow surfaces of slats made of three-layer laminated chipboard with a density of 600 kg/m³ and a thickness of 18 mm were covered with edgematerials. For this purpose, a PVC edge with a thickness of 1 and 2 mm, an ABS edge with a thickness of 1 and 2 mm, an edge made of paper impregnated with a mixture of urea-formaldehyde resins UF and melamine-formaldehyde resins MF, laminate, American walnut veneers 2 mm thick, unvarnished (raw) and varnished. In addition, a control variant without borders was prepared. The edges were glued to the chipboard with EVA hot melt adhesive. For the prepared samples, selected mechanical properties (MOR, MOE, edge peeling strength) and physical properties (swelling and water absorption after 2 and 24 h of soaking in water) were tested. Based on the tests, it was found that the use of edges made of PVC and ABS with a thickness of 2 mm reduces the MOR value. The use of PVC edges with a thickness of 2 mm also reduces the MOE value. It was found that the use of the tested edges significantly reduces the swelling and water absorption of the elements after 2 hours of soaking in water. A significant reduction in swelling after 24 hours of soaking in water occurs when using 2 mm PVC, 1 and 2 mm ABS edges. On the other hand, a significant reduction in water absorption after 24 hours of soaking in water was found when using PVC and ABS edges with a thickness of 2 mm. Edging made of PVC and ABS with a thickness of 1 mm was also noted to have the best adhesion to narrow surfaces of particleboard when using EVA hot melt adhesive.

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Processing time of an automated production line for wooden door frames

Zdzisław Kwidziński, Barbara Prałat, Adam Wilczyński, Tomasz Rogoziński

Abstract


The concept of mass customization of wooden door production implemented in PORTA KMI Poland is associated with investment activities in the form of launching new, automated technological lines. The production capacity of these lines during their technological acceptance is tested to determine the possibility of achieving the designed capacity. The paper describes the results of the technological test relating to the processing times and their statistical comparative analysis in relation to standard door frames with two different beam widths of 127 and 147 mm. It was found that the average processing time for a 127 mm wide frame is 20.42 s, while for a 147 mm wide frame, it is 19.94 s. However, this difference is statistically insignificant. This allows to obtain the maximum capacity of the line of 3 pcs of standard door frames per min. This is the basis for further research into the efficiency of the PortaFRAME line already in the conditions of mass customization.

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An attempt to use the Monte Carlo method to the cutting efficiency prediction of furniture boards on CNC panel saw

Jacek Wilkowski, Marek Barlak

Abstract


The paper presents the application of the Monte Carlo method to predict the efficiency of cutting furniture boards on an industrial CNC panel saw. In modelling the efficiency of the cutting process, real production data based on orders from 50 hours of work of a company providing this type of service was used. Two cutting models (strategies) of laminated three- layer wood-based panels with a thickness of 18 mm were proposed and for these models the efficiency of the process was tested according to the Monte Carlo method. The first model - “materials”, concerned cutting in the order carried out due to the decor of the board laminate, the second - “orders”, took into account the time sequence of orders for production, and within one order it could cut different materials (decors). Each implemented cutting plan was previously optimized due to the minimization of waste and the reuse of usable rest in the Cut Rite program. Constant cutting parameters were used during cutting. Monte Carlo modelling was carried out in the Matlab R2022b programming environment. The cutting efficiencies obtained in the Monte Carlo method showed an average relative error of 39%, regardless of the cutting simulation strategy adopted (materials or orders). It was the result of the deviation of the parameter value of the real model from the normal distribution, and the Monte Carlo method allows modelling processes whose course depends on random factors, that is, it follows a normal distribution.

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