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Scientia Silvae Sinicae ›› 2026, Vol. 62 ›› Issue (8): 191-205.doi: 10.11707/j.1001-7488.LYKX20250537

• Research papers • Previous Articles     Next Articles

Analysis of Separation Mechanism of Bamboo Strip Stacks and Design of an Automatic Feeding System for Rough Milling

Tianyu Wang1,Yongjie Lei2,Bin Zhang3,Fei Xiao4,Jianhua Yang3,Jin Yang1,Jianbo Zhou1,*()   

  1. 1. Harbin Research Institute of Forestry Machinery, National Forestry and Grassland Administration Harbin 150086
    2. College of Mechanical and Electrical Engineering, Northeast Forestry University Harbin 150040
    3. Research Institute of Wood Industry, Chinese Academy of Forestry Beijing 100091
    4. Hunan Academy of Forestry Changsha 410004
  • Received:2025-09-07 Revised:2026-04-16 Online:2026-08-10 Published:2026-08-20
  • Contact: Jianbo Zhou E-mail:zhoujianbol@126.com

Abstract:

Objective: To address the problems of high labor intensity, insufficient feeding continuity, and difficulties in single-strip separation and directional feeding of naturally stacked bamboo strips during rough milling, this study aims to improve the automation level and feeding stability of bamboo processing by designing an automatic sorting and feeding system suitable for bamboo-strip rough milling. Method: Based on the curved structure and surface friction differences of bamboo strips, force analysis models of typical stacking combinations were established to analyze the sliding tendency and separation stability of bamboo strips under different stacking states. A probabilistic model of slot-embedding states was further developed to reveal the interaction between bamboo strip posture distribution and the inclination angle of the lifting chain. On this basis, response surface optimization experiments were carried out by considering the structural parameters of the system to investigate the effects of lifting-chain inclination angle, speed, and bamboo strip size on separation performance. Result: The established regression models showed good fitting performance, and the lifting-chain inclination angle and speed were identified as the main factors affecting bamboo strip separation performance. The optimization results showed that when the lifting-chain inclination angle was 66.13°, the speed was 0.246 m·s?1, the bamboo strip width was 29.16 mm, and the length was 1 903.88 mm, the predicted separation rate and separation efficiency were 96.86% and 27.65 strips·min?1, respectively. The measured results were basically consistent with the predicted values. The system can realize single-strip separation, outer-inner surface recognition, posture flipping, and continuous feeding of bamboo strips, showing good separation performance and feeding stability. Conclusion: This study has established a mechanical analysis and probabilistic modeling method for the separation behavior of naturally stacked bamboo strips, clarified the effects of key structural and process parameters on separation performance. The designed system provides a theoretical basis and engineering reference for the automated upgrading of bamboo-strip rough milling.

Key words: automatic bamboo strip sorting, stacking-state modeling, separation mechanism, continuous feeding system, response surface optimization

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