Analysis of cutting technology and energy consumption model of polyethylene WPC

Shi, Wei; Fang, Wei; Jiang, Bin; Li, Zhe

doi:10.1080/00150193.2022.2076440

Cited by 3 publications

(1 citation statement)

References 15 publications

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“…Changes in cutting powers of Pine and Beech wood were predicted by Chuchala et al, using four different methods [13], and their work indicated that the uncut chip thickness has positive impact on the cutting power. The cutting power of the motor during the processing of WPC was developed by Shi et al [14], who found that the cutting power positively increases with the feed rate and cutting speed. Cutting power for prismatic machining features was studied by Wang et al [15], and a cutting power model was established; they found that a zigzag is the most energy-efficient tool path.…”

Section: Introductionmentioning

confidence: 99%

Investigation on Cutting Power of Wood–Plastic Composite Using Response Surface Methodology

Lü

et al. 2022

Forests

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For the sake of improving the benefit of enterprise by reducing energy waste. RSM (response surface methodology) was used to investigated the cutting power of wood–plastic composite at different cutting conditions (rake angle, cutting speed, depth of cut, and flank wear). Based on the experimental results, a cutting power model with a high degree of fitting was developed, which can be used to predict cutting power and optimal cutting conditions. Meanwhile, the effects of rake angle, cutting speed, depth of cut, and flank wear and their interaction on the cutting power were probed by analysis of variance, and the significant terms were determined. Finally, the optimal cutting condition was obtained as follows: rake angle of 10°, cutting speed of 300 m/min, depth of cut of 1.5 mm, and flank wear of 0.1 mm. This parameter combination is suggested to be used for industrial manufacturing of wood–plastic composite in terms of the incredible machining efficiency and the lowest energy consumption.

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Section: Introductionmentioning

confidence: 99%

Investigation on Cutting Power of Wood–Plastic Composite Using Response Surface Methodology

Lü

et al. 2022

Forests

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Prediction model and optimization of energy consumption, cutting force, and surface roughness during machine tool cutting process based on high-order response surface methodology

Du,

Wang,

Zhou

et al. 2024

J Braz. Soc. Mech. Sci. Eng.

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Effects of Milling Methods on Cutting Performance of Wood–Plastic Composites Based on Principal Component Analysis

Zhu,

Buck,

Guan

et al. 2024

Forests

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In the industrial machining of wood–plastic composites, optimization of cutting parameters is key to improving workpiece machinability. To explore the influence of different milling methods of straight-tooth milling, helical milling, and tapered milling on the machinability of wood–plastic composite, a milling experiment was performed. Cutting force, cutting temperature, and surface roughness were selected as evaluative factors. Based on experimental results, principal component analysis was used to analyze the significance of each factor’s contribution and to assess different milling methods of wood–plastic composite for different needs. By calculating the total score from principal component analysis, the optimized cutting mode was determined to be straight-tooth milling, with feed per tooth of 0.2 mm and cutting depth of 0.5 mm. Milling methods in order of decreasing cutting force were helical milling > straight-tooth milling > tapered milling. Milling methods in order of decreasing cutting temperature were helical milling > tapered milling > straight-tooth milling. In terms of the tradeoff between surface quality and processing efficiency, tapered milling is suitable for finishing, considering the machining quality, while helical milling is suitable for roughing, considering the machining efficiency. One of the contributions of this study is to link three separate milling study systems (straight-tooth milling, helical milling, and tapered milling) into one system.

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Analysis of cutting technology and energy consumption model of polyethylene WPC

Cited by 3 publications

References 15 publications

Investigation on Cutting Power of Wood–Plastic Composite Using Response Surface Methodology

Investigation on Cutting Power of Wood–Plastic Composite Using Response Surface Methodology

Prediction model and optimization of energy consumption, cutting force, and surface roughness during machine tool cutting process based on high-order response surface methodology

Effects of Milling Methods on Cutting Performance of Wood–Plastic Composites Based on Principal Component Analysis

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