Optimisation of CNC routing operations of wooden furniture parts

Gawronski, T

doi:10.1007/s00170-012-4647-5

Cited by 23 publications

(8 citation statements)

References 26 publications

(36 reference statements)

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“…The evaluation was then carried out to ensure buildability and optimization. The 3D model was revised to accommodate tolerances into joints in plywood and an additional cutting path was added to exclude the rounding of the tool bit out of the join slots (Figure 7) [61].…”

Section: Fabricationmentioning

confidence: 99%

“…out to ensure buildability and optimization. The 3D model was revised to accommod tolerances into joints in plywood and an additional cutting path was added to exclude rounding of the tool bit out of the join slots (Figure 7) [61]. The next stage consisted of flattening parts of the installation and nesting these ments onto 1525 × 1525 mm plywood sheets to minimize material waste (Figure 8) [ All the parts were numbered and placed on sheets according to the building schedul allow construction to start while other parts were being cut on the CNC plotter, there minimizing the time of construction.…”

Section: Fabricationmentioning

confidence: 99%

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Computer-Aided Greenery Design—Prototype Green Structure Improving Human Health in Urban Ecosystem

Sędzicki

Cudzik

Nyka

2023

IJERPH

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Increasing population and urbanization, with climate change consequences, such as rising temperatures, influence public health and well-being. The search to improve the quality of life in cities becomes one of the priority objectives. A solution can be found in the role of greenery in an urban environment and its impact on human health. This opens a path toward experimentation on microclimate green structures that can be inserted into dense urban spaces providing human and environmental benefits. The article proposes an automated greenery design method combined with rapid prototyping for such interventions. A theoretical analysis of the problem preceded the introduction of the method. The research process was developed in accordance with the main objectives of the CDIO framework (Conceive, Design, Implement, and Operate) with the SiL (Software in the Loop) and HiL (Hardware in the Loop) methods. Moreover, the applied test model allows for complex evaluation in order to ensure quality and directions for further development.

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Section: Fabricationmentioning

confidence: 99%

Section: Fabricationmentioning

confidence: 99%

Computer-Aided Greenery Design—Prototype Green Structure Improving Human Health in Urban Ecosystem

Sędzicki

Cudzik

Nyka

2023

IJERPH

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“…Processing parameters adjusted correctly are the most important factors that increase the surface quality of wood and wood-based boards (Koc et al, 2017). For this reason, many researchers have studied the effects of CNC processing parameters such as spindle rotational frequency, step over, feed rate, cutting tool diameter and depth of cut on surface roughness of solid wood (Gawronski, 2013 İşleyen and Karamanoğlu, 2019) processed with CNC machines. In general, it was found in these studies that higher values of spindle rotational frequency caused smoother surface of material whereas higher values of feed rate, step over and depth of cut resulted in the increased surface roughness of materials.…”

Section: Introduction 1 Uvodmentioning

confidence: 99%

Effects of CNC Processing Parameters on Surface Quality of Wood-Based Panels Used in Furniture Industry

2022

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The processing of wood-based panels such as plywood, particleboard and fiberboard, which are widely used in the furniture industry, with CNC (Computer Numerical Control) milling machines has been increasing recently. Even though CNC milling machines have many advantages for furniture producers, it is difficult to set process parameters to obtain the desired surface quality of the material. Therefore, it is necessary to determine the most suitable of these parameters for the surface quality of each wood-based panel. This study aimed to determine the effects of processing parameters on the surface quality of plywood, particleboard and medium density fiberboard (MDF) panels processed in CNC milling machines. Furthermore, the average surface roughness values of these panels were compared after CNC processing. Three spindle rotational frequencies (10.000, 14.000 and 18.000 rpm), three feed rates (5, 7, and 9 m/min) and two cutting tool diameters (2 and 5 mm) were selected as CNC processing parameters. To determine the surface quality of wood-based panels, the surface roughness measurements were performed according to DIN 4768 standard and three surface roughness parameters (Ra, Rmax and Rz) were determined. According to the results of this study, it can be concluded that the surface roughness values of wood-based panels decreased with increasing spindle rotational frequency and feed rate, while they increased with increasing cutting tool diameter. Among the wood-based panels used in this study, the lowest average roughness values were obtained for plywood samples.

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“…In addition, surface roughness of wood affected by cutting machine and cutting parameters. Researchers have been reported that machine parameters affect surface roughness of wood and wood-based materials (Gawroński 2013, Sutcu 2013, Koc et al 2017. The anatomical properties of wood are not changeable, but the processing conditions can be adjusted to the desired range of operating parameters of the machine (Hazır and Koç 2019).…”

Section: Introductionmentioning

confidence: 99%

Optimization of CNC operating parameters to minimize surface roughness of Pinus sylvestris using integrated artificial neural network and genetic algorithm

Gürgen

Çakmak

Yıldız

et al. 2021

Maderas, Cienc. tecnol.

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The surface roughness of wood is affected by the processing conditions and the material structure. So, optimization of operation parameters is very crucial to have minimum surface roughness. In this study, modeling and optimization of surface roughness (Ra) of Scotch pine (Pinus sylvestris) was investigated. Firstly, the samples were cut under different conditions 8 mm, 9 mm and 11mm depth of cut and 12 mm, 14 mm and 16 mm axial depth of cut) in computer numerical control (CNC) machine, and then surface roughness (Ra) values of samples were calculated. Then a prediction model of surface roughness was developed using artificial neural networks (ANN). Optimization process was carried out to reach minimum surface roughness of wood samples by the genetic algorithm (GA) method. MAPE value of the ANN model was found lower than 4,0 %. The optimum CNC operation parameters were 1874,5 rad/s, 3,0 m/min feed rate, 9,7 mm depth of cut and 12 mm for axial depth of cut for minimum surface roughness. As a result of study, surface roughness of Scotch pine wood can be modeled and optimized using integrated ANN and GA methods by saving time and cost.

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Optimisation of CNC routing operations of wooden furniture parts

Cited by 23 publications

References 26 publications

Computer-Aided Greenery Design—Prototype Green Structure Improving Human Health in Urban Ecosystem

Computer-Aided Greenery Design—Prototype Green Structure Improving Human Health in Urban Ecosystem

Effects of CNC Processing Parameters on Surface Quality of Wood-Based Panels Used in Furniture Industry

Optimization of CNC operating parameters to minimize surface roughness of Pinus sylvestris using integrated artificial neural network and genetic algorithm

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