Article(id=1314907121058144657, tenantId=1146029695717560320, journalId=1235980550691926019, issueId=1314907112854089785, articleNumber=null, orderNo=null, doi=10.3969/j.issn.0253-6099.2025.06.008, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1751558400000, receivedDateStr=2025-07-04, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1791427887453, onlineDateStr=2026-10-08, pubDate=null, pubDateStr=null, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1791427887453, onlineIssueDateStr=2026-10-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1791427887453, creator=13701087609, updateTime=1791427887453, updator=13701087609, issue=Issue{id=1314907112854089785, tenantId=1146029695717560320, journalId=1235980550691926019, year='2025', volume='45', issue='6', pageStart='1', pageEnd='228', issueExtLink='null', onlineDate='null', pubDate='1764518400000', pubDateStr='2025-12-01', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1791427885497, creator='13701087609', updateTime=1791430521754, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1314918170201252492, tenantId=1146029695717560320, journalId=1235980550691926019, issueId=1314907112854089785, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1314918170201252493, tenantId=1146029695717560320, journalId=1235980550691926019, issueId=1314907112854089785, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=47, endPage=54, ext={EN=ArticleExt(id=1314907121968308626, articleId=1314907121058144657, tenantId=1146029695717560320, journalId=1235980550691926019, language=EN, title=Influencing Factors and Optimization Analysis of Resistance in Pipeline Transportation of Ultra-fine Tailings Slurry, columnId=1236276106018484431, journalTitle=Mining and Metallurgical Engineering, columnName=MINING, runingTitle=null, highlight=null, articleAbstract=

To rationally select parameters for pipeline transportation of ultra-fine tailings slurry, the influencing factors of pipeline resistance in transportation were classified based on theoretical analysis. Effects of different factors on resistance loss in ultra-fine tailings slurry pipeline were investigated by adopting response surface methodology (RSM), and the significance of each factor was obtained, for which engineering verification test was performed then. The results show that those three internal influencing factors, such as slurry concentration, slurry temperature and cement-sand ratio, are in descending order of sensitivity, and the interactions among them, including interaction between concentration and temperature of slurry, interaction between slurry concentration and cement-sand ratio, interaction between cement-sand ratio and slurry temperature, are also in descending order of sensitivity; while the external factors, such as pipe diameter, flow rate and stowing gradient, and their interaction, including interaction between pipe diameter and inlet flow rate, interaction between pipe diameter and stowing gradient, interaction between inlet flow rate and stowing gradient, are also in descending order of sensitivity. The factor optimization results indicate that with fixed external factors, the optimal combination of slurry properties are as follows:slurry concentration of 63.5%, cement-sand ratio of 1∶6, and slurry temperature of 51.5 ℃; while with fixed internal factors, the optimal combination of transportation parameters are as follows:pipe diameter of 270 mm, inlet flow rate of 1.63 m/s, and stowing gradient of 5. Based on verification test, it is found that the maximum calculation deviations of the confidence interval under the influences of internal and external factors are 10.82% and 3.41%, respectively.

, authors=Lihong WANG1, Yinpei YAO2, authorsList=Lihong WANG, Yinpei YAO, authorCompany=null, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, 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=1314907123176268179, articleId=1314907121058144657, tenantId=1146029695717560320, journalId=1235980550691926019, language=CN, title=超细尾砂料浆管道输送阻力影响因素研究及寻优分析, columnId=1236276106219811026, journalTitle=矿冶工程杂志, columnName=采矿, runingTitle=null, highlight=null, articleAbstract=

为了合理选择超细尾砂料浆管道输送参数,通过理论分析对管道输送阻力影响因素进行分类,采用响应曲面法研究不同因素对超细尾砂料浆管道输送阻力损失的影响,得到各因素的影响显著程度,并进行了工程验证。结果表明,影响超细尾砂料浆管道输送阻力的内因敏感度为:料浆浓度>料浆温度>灰砂比,交互作用影响敏感度为:料浆浓度与料浆温度>料浆浓度与灰砂比>灰砂比与料浆温度;外因敏感度为:管径>入口流速>充填倍线,交互作用影响敏感度为:管径与入口流速>管径与充填倍线>入口流速与充填倍线。因素寻优结果显示,外因固定时,矿山适宜的料浆性质组合参数为:料浆浓度63.5%,灰砂比1∶6,料浆温度51.5 ℃;内因固定时,适宜的输送设计参数组合为:管径270 mm,入口流速1.63 m/s,充填倍线5。经检验,内因与外因影响下的计算偏离置信区间最大误差分别为10.82%、3.41%。

, authors=王丽红1, 姚银佩2, authorsList=王丽红, 姚银佩, authorCompany=null, correspAuthors=null, authorNote=

王丽红(1988—),女,四川眉山人,硕士,工程师,主要从事矿山充填理论与应用研究以及矿业期刊出版工作。E-mail:

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王丽红(1988—),女,四川眉山人,硕士,工程师,主要从事矿山充填理论与应用研究以及矿业期刊出版工作。E-mail:

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王丽红(1988—),女,四川眉山人,硕士,工程师,主要从事矿山充填理论与应用研究以及矿业期刊出版工作。E-mail:

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超细尾砂料浆管道输送阻力影响因素研究及寻优分析
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王丽红 1 , 姚银佩 2
矿冶工程杂志 | 采矿 2025,45(6): 47-54
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矿冶工程杂志 |采矿 2025 , 45 (6) : 47 -54
超细尾砂料浆管道输送阻力影响因素研究及寻优分析
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王丽红1 , 姚银佩2
作者信息
  • 1.长沙矿冶研究院有限责任公司,湖南 长沙 410012
  • 2.中南大学资源与安全工程学院,湖南 长沙 410083
作者简介:

王丽红(1988—),女,四川眉山人,硕士,工程师,主要从事矿山充填理论与应用研究以及矿业期刊出版工作。E-mail:

Influencing Factors and Optimization Analysis of Resistance in Pipeline Transportation of Ultra-fine Tailings Slurry
Lihong WANG1 , Yinpei YAO2
Affiliations
  • 1.Changsha Research Institute of Mining and Metallurgy Co., Ltd., Changsha 410012, Hunan, China
  • 2.School of Resources and Safety Engineering, Central South University, Changsha 410083, Hunan, China
doi: 10.3969/j.issn.0253-6099.2025.06.008
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为了合理选择超细尾砂料浆管道输送参数,通过理论分析对管道输送阻力影响因素进行分类,采用响应曲面法研究不同因素对超细尾砂料浆管道输送阻力损失的影响,得到各因素的影响显著程度,并进行了工程验证。结果表明,影响超细尾砂料浆管道输送阻力的内因敏感度为:料浆浓度>料浆温度>灰砂比,交互作用影响敏感度为:料浆浓度与料浆温度>料浆浓度与灰砂比>灰砂比与料浆温度;外因敏感度为:管径>入口流速>充填倍线,交互作用影响敏感度为:管径与入口流速>管径与充填倍线>入口流速与充填倍线。因素寻优结果显示,外因固定时,矿山适宜的料浆性质组合参数为:料浆浓度63.5%,灰砂比1∶6,料浆温度51.5 ℃;内因固定时,适宜的输送设计参数组合为:管径270 mm,入口流速1.63 m/s,充填倍线5。经检验,内因与外因影响下的计算偏离置信区间最大误差分别为10.82%、3.41%。

超细尾砂  /  充填料浆  /  因素分类  /  响应曲面法  /  管道输送  /  输送阻力  /  阻力损失  /  工程验证

To rationally select parameters for pipeline transportation of ultra-fine tailings slurry, the influencing factors of pipeline resistance in transportation were classified based on theoretical analysis. Effects of different factors on resistance loss in ultra-fine tailings slurry pipeline were investigated by adopting response surface methodology (RSM), and the significance of each factor was obtained, for which engineering verification test was performed then. The results show that those three internal influencing factors, such as slurry concentration, slurry temperature and cement-sand ratio, are in descending order of sensitivity, and the interactions among them, including interaction between concentration and temperature of slurry, interaction between slurry concentration and cement-sand ratio, interaction between cement-sand ratio and slurry temperature, are also in descending order of sensitivity; while the external factors, such as pipe diameter, flow rate and stowing gradient, and their interaction, including interaction between pipe diameter and inlet flow rate, interaction between pipe diameter and stowing gradient, interaction between inlet flow rate and stowing gradient, are also in descending order of sensitivity. The factor optimization results indicate that with fixed external factors, the optimal combination of slurry properties are as follows:slurry concentration of 63.5%, cement-sand ratio of 1∶6, and slurry temperature of 51.5 ℃; while with fixed internal factors, the optimal combination of transportation parameters are as follows:pipe diameter of 270 mm, inlet flow rate of 1.63 m/s, and stowing gradient of 5. Based on verification test, it is found that the maximum calculation deviations of the confidence interval under the influences of internal and external factors are 10.82% and 3.41%, respectively.

ultra-fine tailings  /  filling slurry  /  factor classification  /  response surface methodology  /  pipeline transportation  /  transportation resistance  /  resistance loss  /  engineering verification
王丽红, 姚银佩. 超细尾砂料浆管道输送阻力影响因素研究及寻优分析. 矿冶工程杂志, 2025 , 45 (6) : 47 -54 . DOI: 10.3969/j.issn.0253-6099.2025.06.008
Lihong WANG, Yinpei YAO. Influencing Factors and Optimization Analysis of Resistance in Pipeline Transportation of Ultra-fine Tailings Slurry[J]. Mining and Metallurgical Engineering, 2025 , 45 (6) : 47 -54 . DOI: 10.3969/j.issn.0253-6099.2025.06.008
  • 2023年度湖南省自然科学基金项目区域联合基金项目(2023JJ50356)
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doi: 10.3969/j.issn.0253-6099.2025.06.008
  • 接收时间:2025-07-04
  • 首发时间:2026-10-08
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  • 收稿日期:2025-07-04
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2023年度湖南省自然科学基金项目区域联合基金项目(2023JJ50356)
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    1.长沙矿冶研究院有限责任公司,湖南 长沙 410012
    2.中南大学资源与安全工程学院,湖南 长沙 410083
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2种不同金属材料的力学参数
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属
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Number of
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占总种数比例
Percentage of total
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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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