Effect of pine impregnation and feed speed on sound level and cutting power in wood sawing

Licow, Roksana; Chuchała, Daniel; Deja, Mariusz; Orłowski, Kazimierz A.; Taube, Piotr

doi:10.1016/j.jclepro.2020.122833

Cited by 24 publications

(10 citation statements)

References 34 publications

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“…It must be stated in the context of the presented results that the grain size composition of the particles from the milling process is comparable to the grain size composition of the particles from the sanding process, and therefore, the same procedures must be chosen when processing such wood material [69][70][71].…”

Section: Resultsmentioning

confidence: 99%

Granulometric Characterization of Wood Dust Emission from CNC Machining of Natural Wood and Medium Density Fiberboard

Kminiak

Kučerka

Krišťák

et al. 2021

Forests

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The aim of this paper was to determine the particle size composition of wood dust emission from CNC milling of natural wood and medium-density fiberboard (MDF) and evaluate the associated occupational exposure risks. The paper is focused on some of the most commonly used materials in the woodworking and furniture industry, i.e., solid wood (beech, oak, and spruce) and composite materials (MDF panels). In addition to the influence of the machined material, the effect of the technical-technological parameters, namely, feed speed and depth of cut on the particle size distribution, was also investigated. The selected values of the technical-technological parameters used in this study followed the common work practice in small wood processing companies. The particle size distribution was evaluated by using sieve analysis of samples from the total mass of collected wood dust. The results demonstrated that machining of natural wood is characterized mostly by the formation of coarse dust fractions (2 mm–1 mm sieves), whilst the processing of MDF was associated with generation of fine dust fractions with a size below 100 μm. The results obtained can be used for optimizing the technological programs of CNC milling machines, thus, reducing the occupational exposure to harmful wood dust emissions in the wood-processing industry.

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Section: Resultsmentioning

confidence: 99%

Granulometric Characterization of Wood Dust Emission from CNC Machining of Natural Wood and Medium Density Fiberboard

Kminiak

Kučerka

Krišťák

et al. 2021

Forests

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“…Due to that, the analysis of the sound signal was performed without the noise discrimination from the original signal. The possible method for the separation of the sound signal related to the cutting process and to the noise generated by the drives and elements of a machine tool was developed and applied by Licow et al [19] in the study related to the wood cutting process characterized by the higher sound level.…”

Section: Methodsmentioning

confidence: 99%

“…Motor-related parameters such as motor power or current meet abovementioned requirements and are commonly used for monitoring material removal processes to detect malfunctions in the cutting operations [15]. They can also detect the defects in the workpiece material as shown by Licow et al on the example of wood sawing [19]. The increase in the average electric power of the main drive allowed for the identification of knots during the wood sawing process.…”

Section: Review Of Related Research Workmentioning

confidence: 99%

“…Monitoring of grinding processes was proposed in [47] and in [48]. Licow et al [19] investigated the impact of the pine wood impregnation process on the generated noise level when cutting wood on the sash gang saw. Obtained results indicated that monitoring based on the analysis of sound signals can be used as a supplementary source of information related to the wood cutting processes.…”

Section: Review Of Related Research Workmentioning

confidence: 99%

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A pilot study to assess manufacturing processes using selected point measures of vibroacoustic signals generated on a multitasking machine

Deja

Licow

2020

Int J Adv Manuf Technol

Self Cite

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The article presents the method for the evaluation of selected manufacturing processes using the analysis of vibration and sound signals. This method is based on the use of sensors installed outside the machining zone, allowing to be used quickly and reliably in real production conditions. The article contains a developed measurement methodology based on the specific location of microphones and vibration transducers mounted on the tested object, in this case on a four-axis CNC ST20Y Haas lathe. A mobile phone was integrated into the measuring system and used to control the measurement process. The results from the analysis of vibration and sound signals recorded during different machining operations are presented. They refer to selected working conditions of a machine tool depending on switching the coolant supply on or off and different machine loads caused by various technological processing as well as the various speed of the positioning movements. The analysis was carried out using selected point measures describing the vibroacoustic signals. The synthesis conducted on the basis of results from the experiments indicates the validity of using vibration and acoustic signals, recorded outside the machining area, to evaluate material removal processes that are diverse in terms of kinematics and processing conditions. It indicates the possibility of using proposed point measures of vibroacoustic signals in the diagnostic aspects of the machine tools to achieve high dimension and shape accuracy and to evaluate the condition of the technological devices in terms of their optimal efficiency. Presented methodology can be used as a supporting tool in the CAD/CAM software for a better selection of appropriate cutting parameters and for a wireless control of manufacturing systems consisting of several machine tools.

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“…Power consumption has been found to vary with different saw blades and increase under higher feed rates. With the increase in the feed speed, not only the sawing power increased, but also the waviness increased [23][24][25].…”

Section: Introductionmentioning

confidence: 99%

Study of Cutting Power and Power Efficiency during Straight-Tooth Cylindrical Milling Process of Particle Boards

Yao

et al. 2022

Materials

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The cutting power consumption of milling has direct influence on the economic benefits of manufacturing particle boards. The influence of the milling parameters on the cutting power were investigated in this study. Experiments and data analyses were conducted based on the response surface methodology. The results show that the input parameters had significant effects on the cutting power. The high rake angle reduced the cutting force. Thus, the cutting power decreased with the increase in the rake angle and the cutting energy consumption was also reduced. The cutting power increased with the rotation speed of the main shaft and the depth of milling induced the impact resistance between the milling tool and particle board and the material removal rate. The P-values of the created models and input parameters were less than 0.05, which meant they were significant for cutting power and power efficiency. The depth of milling was the most important factor, followed by the rotation speed of the main shaft and then the rake angle. Due to the high values of R2 of 0.9926 and 0.9946, the quadratic models were chosen for creating the relationship between the input parameters and response parameters. The predicted values of cutting power and power efficiency were close to the actual values, which meant the models could perform good predictions. To minimize the cutting power and maximize the power efficiency for the particle board, the optimized parameters obtained via the response surface methodology were 2°, 6991.7 rpm, 1.36 mm for rake angle, rotation speed of the main shaft and depth of milling, respectively. The model further predicted that the optimized parameters combination would achieve cutting power and power efficiency values of 52.4 W and 11.9%, respectively, with the desirability of 0.732. In this study, the influence of the input parameters on the cutting power and power efficiency are revealed and the created models were useful for selecting the milling parameters for particle boards, to reduce the cutting power.

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Effect of pine impregnation and feed speed on sound level and cutting power in wood sawing

Cited by 24 publications

References 34 publications

Granulometric Characterization of Wood Dust Emission from CNC Machining of Natural Wood and Medium Density Fiberboard

Granulometric Characterization of Wood Dust Emission from CNC Machining of Natural Wood and Medium Density Fiberboard

A pilot study to assess manufacturing processes using selected point measures of vibroacoustic signals generated on a multitasking machine

Study of Cutting Power and Power Efficiency during Straight-Tooth Cylindrical Milling Process of Particle Boards

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