Bamboo Milling Process Parameters’ Influence on Sound Level and Surface Performance via Response Surface Methodology

This study investigates how key milling parameters influence both cutting noise and surface quality during the machining of laminated bamboo lumber. Using a multifactorial optimal response surface methodology, the effects of fibre orientation (0–135°), spindle speed (7000–10,000 r/min), feed rate (0.5–2.0 m/min) and milling depth (0.5–2.0 mm) were quantified through 25 experimental runs. Cutting noise, measured as peak sound pressure level (SPL), ranged from 86.8 to 95.2 dB, increasing markedly with fibre angle, feed rate, and milling depth, but exhibiting a non-linear response to spindle speed. Surface roughness (Sa) varied from 2.6 to 11.7 µm and was most strongly governed by milling depth, followed by fibre orientation and feed rate, with a significant interaction between fibre orientation and spindle speed. Quadratic regression models demonstrated strong predictive performance (R2 = 0.97 for SPL; R2 = 0.85 for Sa). Based on the response surfaces, optimal low-noise, high-quality machining was achieved at moderate spindle speeds, low feed rates, and shallow milling depths. These findings provide a mechanistic basis for understanding noise–roughness coupling in bamboo machining and offer practical guidance for computer numerical control processing, tool selection, and industrial noise reduction strategies in bamboo manufacturing.

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Publication Details

Journal
Forests
Published
2026-04-24
DOI
https://doi.org/10.3390/f17050521
Primary Topic
Natural Fiber Reinforced Composites
Type
article
Field-Weighted Citation Impact
0.00

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Bamboo Milling Process Parameters’ Influence on Sound Level and Surface Performance via Response Surface Methodology

Dietrich Buck, Jianwen Ding, Haiyang Chen, Zhaolong Zhu et al.
Forests
Natural Fiber Reinforced Composites
article

Bamboo Milling Process Parameters’ Influence on Sound Level and Surface Performance via Response Surface Methodology

Dietrich Buck, Jianwen Ding, Haiyang Chen, Zhaolong Zhu, Xiaolei Guo
article en

Abstract

This study investigates how key milling parameters influence both cutting noise and surface quality during the machining of laminated bamboo lumber. Using a multifactorial optimal response surface methodology, the effects of fibre orientation (0–135°), spindle speed (7000–10,000 r/min), feed rate (0.5–2.0 m/min) and milling depth (0.5–2.0 mm) were quantified through 25 experimental runs. Cutting noise, measured as peak sound pressure level (SPL), ranged from 86.8 to 95.2 dB, increasing markedly with fibre angle, feed rate, and milling depth, but exhibiting a non-linear response to spindle speed. Surface roughness (Sa) varied from 2.6 to 11.7 µm and was most strongly governed by milling depth, followed by fibre orientation and feed rate, with a significant interaction between fibre orientation and spindle speed. Quadratic regression models demonstrated strong predictive performance (R2 = 0.97 for SPL; R2 = 0.85 for Sa). Based on the response surfaces, optimal low-noise, high-quality machining was achieved at moderate spindle speeds, low feed rates, and shallow milling depths. These findings provide a mechanistic basis for understanding noise–roughness coupling in bamboo machining and offer practical guidance for computer numerical control processing, tool selection, and industrial noise reduction strategies in bamboo manufacturing.

ForestsVol. 17(5)
Nanjing Forestry University (CN), Luleå University of Technology (SE)
Luleå Tekniska Universitet
Openalex Percentile: Top 11%
Natural Fiber Reinforced Composites
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