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Optimization of hot-pressing process for cotton-stalk-based artificial boards
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Xingyu WU1, Jianping ZHOU1, 2, Yan XU1, 2, Xiaokang CHEN1, 2, Wenya ZHANG1, Qing WANG3, Liwen ZHOU3
Journal of Central South University of Forestry & Technology | 2026, 46(5) : 190 - 200
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Journal of Central South University of Forestry & Technology | 2026, 46(5): 190-200
Optimization of hot-pressing process for cotton-stalk-based artificial boards
Full
Xingyu WU1, Jianping ZHOU1, 2, Yan XU1, 2, Xiaokang CHEN1, 2, Wenya ZHANG1, Qing WANG3, Liwen ZHOU3
Affiliations
  • 1.College of Mechanical Engineering, Xinjiang University, Urumqi 830017, Xinjiang, China
  • 2.Engineering Research Center of Agricultural and Animal Husbandry Robots and Intelligent Equipment, Xinjiang Uygur Autonomous Region, Urumqi 830017, Xinjiang, China
  • 3.Xinjiang Tianhui Kangbai Agricultural Ecological Technology Co., Ltd., Aksu 842299, Xinjiang, China
Published: 2026-05-25 doi: 10.14067/j.cnki.1673-923x.2026.05.019
Outline
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【Objective】

To enhance the board strength of cotton stalk-based composite boards and optimize the hot-pressing process, this study fabricated artificial boards using crushed and sieved cotton stalk xylem and modified urea-formaldehyde resin as the primary raw materials. The effects of seven key factors—particle size, adhesive dosage, solid content of the resin, hot-pressing temperature, hot-pressing pressure, pre-pressing time, and hot-pressing duration—on the mechanical properties of the composite boards were investigated. The significance of these factors and the optimal process parameters were systematically determined.

【Method】

In this study, the internal bonding strength (IB) of the composite boards was selected as the experimental indicator. A Plackett-Burman (PB) experimental design was employed to screen significant factors affecting IB. Based on the PB results, a steepest ascent experiment was conducted to determine the optimal parameter ranges for the identified significant factors. Subsequently, a three-factor, three-level Box-Behnken design (BBD) was implemented to construct a quadratic polynomial regression model. Analysis of variance (ANOVA) and response surface methodology (RSM) were applied to analyze the interactions and significance between key process parameters. Finally, the optimized process parameters were derived and validated through experimental verification.

【Result】

1)The factors significantly affecting the internal bonding strength (IB) of the composite boards were ranked in the following order of significance: adhesive dosage, hot-pressing temperature, and hot-pressing pressure; 2) The optimal process parameters derived from Design-Expert V13.0 software optimization were as follows: particle size (0-1 mm), adhesive dosage (13%), solid content of the resin (45%), hot-pressing temperature (150 ℃), hot-pressing pressure (8.8 MPa), pre-pressing time (2.5 h), and hot-pressing duration (9 min). Under these conditions, the cotton stalk-based composite board exhibited an internal bonding strength (IB) of 0.64 MPa, closely aligning with the model-predicted theoretical value of 0.65 MPa, with a minimal deviation of 1.54% between experimental and theoretical results.

【Conclusion】

The response surface model demonstrated high accuracy and reliability. These findings provide valuable insights for optimizing the manufacturing process of cotton stalk-based composite boards, particularly in refining hot-pressing parameters and resin application strategies.

cotton stalk  /  panels  /  hot pressing process  /  response surface method  /  modified urea-formaldehyde adhesive
武星宇, 周建平, 许燕, 陈小康, 张文亚, 王青, 周李文. 棉秸秆制人造板热压成型工艺优化. 中南林业科技大学学报, 2026 , 46 (5) : 190 -200 . DOI: 10.14067/j.cnki.1673-923x.2026.05.019
Xingyu WU, Jianping ZHOU, Yan XU, Xiaokang CHEN, Wenya ZHANG, Qing WANG, Liwen ZHOU. Optimization of hot-pressing process for cotton-stalk-based artificial boards[J]. Journal of Central South University of Forestry & Technology, 2026 , 46 (5) : 190 -200 . DOI: 10.14067/j.cnki.1673-923x.2026.05.019
Year 2026 volume 46 Issue 5
12
3
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Article Info
doi: 10.14067/j.cnki.1673-923x.2026.05.019
  • Receive Date:2025-05-16
  • Online Date:2026-10-30
  • Published:2026-05-25
Article Data
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History
  • Received:2025-05-16
  • Revised:2025-09-05
Funding
Affiliations
    1.College of Mechanical Engineering, Xinjiang University, Urumqi 830017, Xinjiang, China
    2.Engineering Research Center of Agricultural and Animal Husbandry Robots and Intelligent Equipment, Xinjiang Uygur Autonomous Region, Urumqi 830017, Xinjiang, China
    3.Xinjiang Tianhui Kangbai Agricultural Ecological Technology Co., Ltd., Aksu 842299, Xinjiang, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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