Article(id=1322943660790260377, tenantId=1146029695717560320, journalId=1322258771877134531, issueId=1322942934613635295, articleNumber=null, orderNo=null, doi=10.14067/j.cnki.1673-923x.2026.05.019, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1747324800000, receivedDateStr=2025-05-16, revisedDate=1757001600000, revisedDateStr=2025-09-05, acceptedDate=null, acceptedDateStr=null, onlineDate=1793343947836, onlineDateStr=2026-10-30, pubDate=1779638400000, pubDateStr=2026-05-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1793343947836, onlineIssueDateStr=2026-10-30, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1793343947836, creator=13701087609, updateTime=1793343947836, updator=13701087609, issue=Issue{id=1322942934613635295, tenantId=1146029695717560320, journalId=1322258771877134531, year='2026', volume='46', issue='5', pageStart='1', pageEnd='222', issueExtLink='null', onlineDate='null', pubDate='1779638400000', pubDateStr='2026-05-25', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1793343774703, creator='13701087609', updateTime=1793344699149, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1322946812499329386, tenantId=1146029695717560320, journalId=1322258771877134531, issueId=1322942934613635295, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1322946812499329387, tenantId=1146029695717560320, journalId=1322258771877134531, issueId=1322942934613635295, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=190, endPage=200, ext={EN=ArticleExt(id=1322943662526702234, articleId=1322943660790260377, tenantId=1146029695717560320, journalId=1322258771877134531, language=EN, title=Optimization of hot-pressing process for cotton-stalk-based artificial boards, columnId=null, journalTitle=Journal of Central South University of Forestry & Technology, columnName=null, runingTitle=null, highlight=null, articleAbstract=
【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.
, authors=Xingyu WU
1, Jianping ZHOU
1, 2, Yan XU
1, 2, Xiaokang CHEN
1, 2, Wenya ZHANG
1, Qing WANG
3, Liwen ZHOU
3, authorsList=Xingyu WU, Jianping ZHOU, Yan XU, Xiaokang CHEN, Wenya ZHANG, Qing WANG, Liwen ZHOU, authorCompany=null, correspAuthors=Jianping ZHOU, authorNote=null, correspAuthorsNote=null, copyrightStatement=© 2026 Journal of Central South University of Forestry & Technology, copyrightOwner=Journal of Central South University of Forestry & Technology, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1322943663373951643, articleId=1322943660790260377, tenantId=1146029695717560320, journalId=1322258771877134531, language=CN, title=棉秸秆制人造板热压成型工艺优化, columnId=1322924330723713471, journalTitle=中南林业科技大学学报, columnName=林业工程, runingTitle=null, highlight=null, articleAbstract=
【目的】 为了提高棉秸秆人造板的板材强度，优化棉秸秆制人造板热压成型工艺，以破碎筛分后的棉秸秆木质部、改性脲醛胶为主要原料制备人造板材，探讨粒径大小、施胶量、胶黏剂固含量、热压温度、热压压力、预压时间、热压时间7个因素对人造板性能的影响，确定显著影响因素及最优工艺参数。
【方法】 以板材内结合强度（Internal Bonding Strength，IB）为试验指标，采用Plackett-Burman试验筛选出影响板材内结合强度的显著因素；在Plackett-Burman试验结果基础上采用最陡爬坡试验，确定显著影响因素的最佳参数范围；开展3因素3水平Box-Behnken试验，构建二次多项式回归模型并开展方差分析，基于响应曲面分析关键工艺参数的交互作用及其显著性，得出最佳工艺方案并进行试验验证。
【结果】 1）显著影响板材内结合强度的因素依次为施胶量、热压温度及热压压力。2）利用Design-Expert V13.0优化得到的最佳工艺参数为粒径大小0～1 mm、施胶量13%、胶黏剂固含量45%、热压温度150 ℃、热压压力8.8 MPa、预压时间2.5 h、热压时间9 min，此热压工艺参数下制得的棉秸秆人造板内结合强度为0.64 MPa，模型计算理论值为0.65 MPa，试验值与理论值误差为1.54%。
【结论】 响应面模型准确可靠，该研究结果可为棉秸秆制人造板制板工艺研究提供参考。
, authors=武星宇
1, 周建平
1, 2, 许燕
1, 2, 陈小康
1, 2, 张文亚
1, 王青
3, 周李文
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1.College of Mechanical Engineering, Xinjiang University, Urumqi 830017, Xinjiang, China
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1.新疆大学 机械工程学院，新疆 乌鲁木齐 830017
2.新疆维吾尔自治区农牧机器人及智能装备工程研究中心，新疆 乌鲁木齐 830017, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null)}, companyList=[AuthorCompany(id=1322943663764021916, tenantId=1146029695717560320, journalId=1322258771877134531, articleId=1322943660790260377, xref=1., ext=[AuthorCompanyExt(id=1322943663776604829, tenantId=1146029695717560320, journalId=1322258771877134531, articleId=1322943660790260377, companyId=1322943663764021916, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=
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1.College of Mechanical Engineering, Xinjiang University, Urumqi 830017, Xinjiang, China
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