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林业科学 ›› 2026, Vol. 62 ›› Issue (8): 191-205.doi: 10.11707/j.1001-7488.LYKX20250537

• 研究论文 • 上一篇    下一篇

竹片堆叠分离机理分析与粗铣自动送料系统设计

王天宇1,雷永杰2,张彬3,肖飞4,杨建华3,杨津1,周建波1,*()   

  1. 1. 国家林业和草原局哈尔滨林业机械研究所 哈尔滨 150086
    2. 东北林业大学机电工程学院 哈尔滨 150040
    3. 中国林业科学研究院木材工业研究所 北京 100091
    4. 湖南省林业科学院 长沙 410004
  • 收稿日期:2025-09-07 修回日期:2026-04-16 出版日期:2026-08-10 发布日期:2026-08-20
  • 通讯作者: 周建波 E-mail:zhoujianbol@126.com
  • 基金资助:
    “十四五”国家重点研发计划“木竹采收与加工关键装备技术”项目(2024YFD2200700)。

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

摘要:

目的: 针对竹片粗铣初加工过程中人工送料劳动强度大、连续性不足以及自然堆叠竹片单根分离和定向送料困难等问题,设计一种适用于竹片粗铣工序的自动分选送料系统,以提高竹材加工过程的自动化水平和送料稳定性。方法: 基于竹片弧形结构和表面摩擦差异,构建典型堆叠组合的受力分析模型,分析不同堆叠状态下竹片的滑移趋势和分离稳定性;建立卡槽嵌入状态概率模型,揭示竹片姿态分布与升运链倾角之间的作用关系。在此基础上,结合系统结构参数开展响应面优化试验,考察升运链倾角、转速以及竹片尺寸对分离性能的影响规律。结果: 所建回归模型拟合效果较好,升运链倾角和转速是影响竹片分离性能的主要因素。优化结果表明,当升运链倾角为66.13°、转速为0.246?m·s?1、竹片宽度为29.16mm、长度为1903.88 mm时,模型预测分离率为96.86%,分离效率为27.65?根·min?1,实测结果与预测结果基本一致。系统可实现竹片单根分离、青黄面识别、姿态翻转和连续送料等功能,具有较好的分离效果和送料稳定性。结论: 本研究建立了面向自然堆叠竹片分离行为的力学分析和概率建模方法,明确了关键结构和工艺参数对分离性能的影响规律,所设计系统可为竹片粗铣工段自动化改造提供理论依据和工程参考。

关键词: 竹片自动分选, 堆叠状态建模, 分离机制, 连续送料系统, 响应面优化

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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