Towards wood dust collection during robotic grooving

Dong, Yanwen; Bouali, Anis; Mechbal, Nazih; Bleron, L; Raharijaona, Thibaut

doi:10.1109/icsc57768.2022.9993943

Cited by 2 publications

(4 citation statements)

References 8 publications

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“…On the other hand, the top view of the boundary shape was symmetrical along the y-axis and consisted of two straight lines past the zero point. These observations were in line with previous studies conducted by Y.Dong [10]. The morphology of the wood chips produced by the milling process is consistent with the milling results of Wei [19].…”

Section: Modeling Of Chip Boundary Surface F(xy)supporting

confidence: 92%

“…This implies that the boundary surface for the x-directional chip can be obtained by replacing x with -x. It is worth noting that in Equations ( 22) and (24), Vt refers to the velocity on the diffuse boundary surface at time t. By substituting Equation ( 16) into Equation (10), Equation ( 14), and Equation ( 18), we obtain the results as shown in Equation ( 25). The values of βyoz and βxoy are related to the spindle speed n, feed rate Vf, and depth of cut ac, which shall be regressed polynomially later.…”

Section: Modeling Of Chip Boundary Surface F (Xy)mentioning

confidence: 99%

“…The collection of chips during wood milling is a crucial factor in wood processing, drawing the attention of researchers and industry professionals alike [8]. The size and movement properties of the chips play a crucial role in determining the design of chip collection devices [9,10]. Non-uniformity and anisotropy are significant challenges for analyzing wood compared to metallic materials [11], and wood's anisotropy contributes to machine vibration, which impacts accuracy during machining [12].…”

Section: Introductionmentioning

confidence: 99%

“…Mats Ekevad and Bireger Marklund used high-speed photography to examine the chip formation of circular saw blades and found that chip size and trajectory were strongly dependent on tool front angle, wood moisture content, and degree of moisture freezing [15]. Based on these foundations, Y. Dong and A. Bouali et al conducted a study on the orientation of the suction tube for a wood chip collection device [10]. Using a high-speed camera to observe the milling process, they were able to determine the direction and velocity of chip spread.…”

Section: Introductionmentioning

confidence: 99%

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Study of the Movement of Chips during Pine Wood Milling

Yang

Liu

et al. 2023

Forests

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Circumferential milling is used in wood processing, yet it generates vast quantities of dust and chips in a single pass, highlighting the need to predict chip dispersion and prevent associated hazards. This article presents findings from a theoretical and experimental analysis of chip size and kinematics of pine wood during cutting. A chip diffusion boundary surface model was established and its key parameters were determined through CCD testing. Results reveal that chip diffusion can be divided into three distinct areas based on motion state: main diffusion, random diffusion, and vortex. Notably, spindle speed and feed rate are most influential on the orthogonal diffusion angle of the main diffusion zone, whereas cutting depth most heavily impacts the top view diffusion angle. Chip scattering on the table showed an exponential increase in average chip size with sampling distance, whereas the boundary surface model accurately characterizes chip motion and demonstrates a reasonable degree of reliability, offering potential in predicting chip morphology and diffusion state. This model has important implications for wood milling practices, particularly in controlling chip dispersion.

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Section: Modeling Of Chip Boundary Surface F(xy)supporting

confidence: 92%

Section: Modeling Of Chip Boundary Surface F (Xy)mentioning

confidence: 99%