Determination of the machining characteristics of Uludağ fir (<i>Abies nordmanniana</i>Mattf.) densified by compressing

Sofuoğlu, Sait Dündar; Tosun, Mustafa; Atılgan, Abdi

doi:10.1080/17480272.2022.2080586

Cited by 9 publications

(6 citation statements)

References 67 publications

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“…It is seen that Ra value increases as the feed rate increases and it creates a statistically significant difference (P = 0,004). In the literature, it was stated that roughness values increase as a general tendency as the feed rate increases in the processing of wood and wood-based materials (Aykac and Sofuoglu 2021, Bal 2018, Bal and Akçakaya 2018, Davim et al 2009, Hazir et al 2018, Ilter et al 2002, Isleyen and Karamanoglu 2019, Karagoz 2010, Koc et al 2017, Pinkowski et al 2018, Sutcu and Karagoz 2012, Sofuoglu et al 2022. It seems that the data obtained in the study are compatible with the literature.…”

Section: Resultssupporting

confidence: 86%

Determination of processing characteristics of wood materials densified by compressing

Tosun

Sofuoğlu

2023

Maderas, Cienc. tecnol.

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The main objective of this study is to determine optimum cutting parameters in order to specify the effect of densification by compressing on the processing properties of solid wood material and to achieve the best surface quality in materials densified at different rates. In line with this goal, the widely grown and low-density black poplar (Populus nigra) tree species were selected as the experimental material. Samples, which were compressed and densified by Thermo-Mechanical method at 0 %, 20 % and 40 % ratios, were processed at 1000 mm/min, 1500 mm/min and 2000 mm/min feed speeds and in 12000 rpm, 15000 rpm, 18000 rpm rotation speed on a computer numerical control machine by using two different cutters. Surface roughness values (Ra and Rz) were measured in order to evaluate surfaces obtained. Smoother surfaces were obtained in computer numerical control machining of densified samples. The lowest surface roughness values occurred in 40 % densified samples, which were the densest. The lowest surface roughness was obtained when 40 % densified samples were processed with cutter no.1 (two-flutes straight end mill), at 1000 mm/min feed speed and at 18000 rpm. Ra and Rz roughness values increased with the increase of the feed rate.

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Section: Resultssupporting

confidence: 86%

Determination of processing characteristics of wood materials densified by compressing

Tosun

Sofuoğlu

2023

Maderas, Cienc. tecnol.

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“…However, using wood material by increasing density can be an option in comparison to other materials (Blomberg and Persson, 2004;Pelit et al, 2014). The density of solid wood is mechanical (Rautkari, 2012) and machining (Lin et al, 2006;Malkocoglu and Ozdemir, 2006;Malkocoglu, 2007;Zhong et al, 2013;Pinkowski et al, 2018;Sofuoglu et al, 2022) significantly affect its properties. There is a relation between the surface quality of machined solid wood and its density, denser wood presents the best quality of the machined surface (Lopes et al, 2014;Sofuoglu et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

“…The density of solid wood is mechanical (Rautkari, 2012) and machining (Lin et al, 2006;Malkocoglu and Ozdemir, 2006;Malkocoglu, 2007;Zhong et al, 2013;Pinkowski et al, 2018;Sofuoglu et al, 2022) significantly affect its properties. There is a relation between the surface quality of machined solid wood and its density, denser wood presents the best quality of the machined surface (Lopes et al, 2014;Sofuoglu et al, 2022). When examined in general, hardness, mechanical and physical properties increase, surface roughness and wettability decrease, and occurrence of spring back as a negative situation may be seen, contingent on the increase in density in compressed densified wood species.…”

Section: Introductionmentioning

confidence: 99%

The use of an artificial neural network for predicting the machining characterizing of wood materials densified by compressing

Tosun

Sofuoğlu

2023

Bilge International Journal of Science and Technology Research

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In this study, an approach for artificial neural network (ANN) was presented to predict and control arithmetical mean surface roughness value (Ra), machining properties of wood materials densified by compressing in a computer numerical control (CNC) machine. Black poplar (Populus nigra L.) tree species were used as the experimental material. After specimens were densified by Thermo-Mechanical (TM) method at 0%, 20%, and 40% ratios, machining process of specimens were performed at 1000, 1500, and 2000 mm/min feed speeds and in 12000, 15000, 18000 rpm rotation speed on a CNC vertical wood machining center by using two different cutters. Data used for the training and testing of an ANN. Cutter type, compression ratio, feed rate, and spindle speed were selected as Four parameters. While hidden layer of the Ra model has ten neurons, one hidden layer was used, Compression ratio is the most significant parameter, followed by feed speed for Ra values. surface roughness increases with increased feed rate. Ra values in training, validation, and testing the data set for Ra were 0.97122, 0.8538, and 0.76685, respectively. The Mean Square Error (MSE) value was determined as 0.0019914 test of the network. The proposed ANN model came to agreement with the measured values in predicting surface roughness Ra values of MAPE. The MAPE value was calculated as 6.61, which can be considered a very good prediction (MAPE< 10 % = very good prediction). The study showed that obtained ANN prediction model is a practical and efficient tool to model the Ra of wood. For reducing energy, time and cost in the wood industry (densification and CNC wood machining), current research results can be implemented.

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“…Since the densification of wood material increases its mechanical properties and hardness, many attempts have been made to develop a suitable process in this regard. In the process of densification with compression of the wood material, the cell wall of the material collapses and the void volume is reduced (Kutnar et al, 2009;Sonmez, 2015, Sofuoglu, 2022;Sofuoglu et al, 2023;Tosun and Sofuoglu, 2021;Tosun and Sofuoglu, 2023a;Tosun and Sofuoglu, 2023b). Using wood material by increasing density can be an option compared to other materials (Blomberg and Persson, 2004;.…”

Section: Introductionmentioning

confidence: 99%

“…The density of wood material is mechanical (Rautkari, 2012) and machining (Lin et al, 2006;Malkocoglu, 2007;Malkocoglu and Ozdemir, 2006;Pinkowski et al, 2018;Sofuoglu et al, 2023;Zhong et al, 2013) significantly affect its properties. When examined in general, hardness, mechanical and physical properties increase, surface roughness and wettability decrease and occurrence of spring back as a negative situation may be seen, contingent on the increase in density in compressed densified wood species.…”

Section: Introductionmentioning

confidence: 99%

Use of Spinning Roller in Cylindrical Densification; Spring back in Black Poplar, Larch and Cedar of Lebanon after Densification

KAYA,

SOFUOĞLU

2023

Bilge International Journal of Science and Technology Research

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Wood materials have been the solution to many needs throughout history due to their unique positive properties. By improving the properties of wood materials, their areas of use can be expanded and ensured that they are preferred. The densification process is one of the studies carried out to improve wood material properties. With densification, the physical and mechanical properties of the wood material are improved. There are many different methods used for densifying wood materials. While the densification process brings many positive properties to the wood material, an undesirable situation such as spring-back after the process is the negative side of the densification process. In this study, black poplar (Populus nigra L.), larch (Pinus nigra Arnold) and cedar of Lebanon (Cedrus libani A.Rich.) trees were shaped into cylinders on a lathe. After that, densification processes were carried out on the lathe machine using the spinning roller designed and manufactured for this purpose. Densification processes were carried out at 0.081, 0.121, and 0.202 mm/rev feed, at 200 and 400 rev/min, and 0.5 and 1 mm densification depths. The spring-back rates after densification in three different types of cylindrical wood materials were investigated. Theoretical and experimental spring-back amounts of test specimens whose surfaces were densified under different densification conditions were interpreted. When evaluated in general, the highest densification rate was obtained in black poplar wood species, 0.081 mm/rotate feed, 200 rpm spindle speed and 1 mm depth of densification. The lowest spring-back ratio was obtained in larch tree species, 0.121 mm/rotate feed, 400 rpm spindle speed and 1 mm depth of densification. The highest densification percentage was obtained in black poplar tree species, and the lowest in larch tree species. The lowest percentage of spring-back was obtained in the larch tree species and the highest in the black poplar tree species.

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Determination of the machining characteristics of Uludağ fir (Abies nordmannianaMattf.) densified by compressing

Cited by 9 publications

References 67 publications

Determination of processing characteristics of wood materials densified by compressing

Determination of processing characteristics of wood materials densified by compressing

The use of an artificial neural network for predicting the machining characterizing of wood materials densified by compressing

Use of Spinning Roller in Cylindrical Densification; Spring back in Black Poplar, Larch and Cedar of Lebanon after Densification

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