Article(id=1322626710747591645, tenantId=1146029695717560320, journalId=1235980733773295621, issueId=1322626690153562922, articleNumber=null, orderNo=null, doi=null, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=null, receivedDateStr=null, revisedDate=null, revisedDateStr=null, acceptedDate=1581091200000, acceptedDateStr=2020-02-08, onlineDate=1793268381057, onlineDateStr=2026-10-29, pubDate=1610640000000, pubDateStr=2021-01-15, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1793268381057, onlineIssueDateStr=2026-10-29, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1793268381057, creator=13701087609, updateTime=1793268381057, updator=13701087609, issue=Issue{id=1322626690153562922, tenantId=1146029695717560320, journalId=1235980733773295621, year='2021', volume='30', issue='1', pageStart='1', pageEnd='93', issueExtLink='null', onlineDate='null', pubDate='1610640000000', pubDateStr='2021-01-15', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1793268376148, creator='13701087609', updateTime=1793269030229, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1322629433626837820, tenantId=1146029695717560320, journalId=1235980733773295621, issueId=1322626690153562922, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1322629433626837821, tenantId=1146029695717560320, journalId=1235980733773295621, issueId=1322626690153562922, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=62, endPage=72, ext={EN=ArticleExt(id=1322626711590646750, articleId=1322626710747591645, tenantId=1146029695717560320, journalId=1235980733773295621, language=EN, title=A combined simulation and experimental study of fluidized bed granulation for traditional Chinese medicine on the basis of computational fluid dynamics, columnId=null, journalTitle=Chinese Journal of New Drugs, columnName=null, runingTitle=null, highlight=null, articleAbstract=
Objective:

A prediction model for the granule growth profiles in fluidized bed of traditional Chinese medicine was developed to improve the research and development of traditional Chinese medicine preparation technology from laboratory trial and error to scientific, digital and intelligent mode.

Methods:

The basic working conditions of the fluidized-bed top spray granulator were constructed by SolidWorks Premium software, and the grid was then divided by ANSYS ICEM CFD software. Computational fluid dynamics (CFD) was used to establish the mathematical model of granules agglomeration. The agglomeration mechanism rules were customized and the user-defined functions were cooperated into the model. The established CFD model was used to simulate the granulation process of Lysimachia christinae Hance extract and Sedum sarmentosum Bunge extract in a fluidized bed respectively. Furthermore, the fluidized bed granulation experiments were carried out to verify the accuracy of the model.

Results:

The simulation results showed that the particle size of the granules increased with the increasing simulation time, and the particle size distribution gradually widened. The velocity of the particles and the pressure of the mixed phases in the bed changed due to the particle growth. The experimental results of granules size growth rate and spatial distribution were in good agreement with those of numerical simulation.

Conclusion:

The simulation of granule growth trend can be used to predict or judge the appropriateness of the formulation process and is helpful to effectively control the key quality attributes of the final granules.

, authors=Jia ZENG1, 2, Ting HUANG2, Bin-bin LIU1, Jia-miao WANG1, Ling-lin FENG2, Man XUE2, Ruo-fei DU1, Yi FENG1, authorsList=Jia ZENG, Ting HUANG, Bin-bin LIU, Jia-miao WANG, Ling-lin FENG, Man XUE, Ruo-fei DU, Yi FENG, authorCompany=null, correspAuthors=Ruo-fei DU, Yi FENG, 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=1322626712471450591, articleId=1322626710747591645, tenantId=1146029695717560320, journalId=1235980733773295621, language=CN, title=基于计算流体力学的中药流化床制粒工艺数值模拟与实验验证, columnId=1236330556003242277, journalTitle=中国新药杂志, columnName=实验研究, runingTitle=null, highlight=null, articleAbstract=
目的:

开发中药流化床制粒颗粒生长过程预测模型,将中药制剂处方工艺研发由传统实验室试错法向科学化、数字化与智能化转变。

方法:

采用SolidWorks Premium软件构建流化床顶喷制粒机基本工况,采用ANSYS ICEM CFD软件划分工况网格。采用计算流体力学(computational fluid dynamics,CFD)构建颗粒成型数学模型,自定义颗粒成型机制规则并将其编制成用户自定义函数。将所构建的CFD模型分别用于金钱草提取物和垂盆草提取物流化床制粒工艺数值模拟研究,同时进行流化床制粒实验验证,对比数值模拟与实验结果的一致性。

结果:

模拟结果显示,金钱草提取物颗粒和垂盆草提取物颗粒的粒径均随模拟时间延长而增大,且粒径分布逐渐变宽。床层内颗粒的速度、颗粒与流体混合相的压力因颗粒粒径的不断变化而发生相应变化。颗粒粒径增长速率及颗粒空间分布状态的实验结果与数值模拟结果均具有较好的一致性。

结论:

对中药流化床制粒颗粒增长趋势的模拟可用于预测或判断处方工艺的适宜性,从而对最终颗粒的关键质量属性进行有效控制。

, authors=曾佳1, 2, 黄婷2, 刘斌斌1, 王佳苗1, 俸灵林2, 薛嫚2, 杜若飞1, 冯怡1, authorsList=曾佳, 黄婷, 刘斌斌, 王佳苗, 俸灵林, 薛嫚, 杜若飞, 冯怡, authorCompany=null, correspAuthors=杜若飞, 冯怡, authorNote=

曾佳,女,副研究员,博士在读,研究方向:中药制剂关键技术及基础理论研究。

, correspAuthorsNote=
杜若飞,男,副研究员,研究方向:中药制剂关键技术及基础理论研究。联系电话:(021)51322493,E-mail:。
冯怡,女,教授,博士生导师,研究方向:中药制剂关键技术及基础理论研究。联系电话:(021)51322493,E-mail:。
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基于计算流体力学的中药流化床制粒工艺数值模拟与实验验证
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曾佳 1, 2 , 黄婷 2 , 刘斌斌 1 , 王佳苗 1 , 俸灵林 2 , 薛嫚 2 , 杜若飞 1 , 冯怡 1
中国新药杂志 | 实验研究 2021,30(1): 62-72
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中国新药杂志 |实验研究 2021 , 30 (1) : 62 -72
基于计算流体力学的中药流化床制粒工艺数值模拟与实验验证
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曾佳1, 2, 黄婷2, 刘斌斌1, 王佳苗1, 俸灵林2, 薛嫚2, 杜若飞1 , 冯怡1
作者信息
  • 1上海中医药大学,上海 201203
  • 2上海市计划生育科学研究所,国家卫生健康委员会计划生育药具重点实验室,上海生殖健康药具工程技术研究中心,上海 200032
通讯作者:
杜若飞,男,副研究员,研究方向:中药制剂关键技术及基础理论研究。联系电话:(021)51322493,E-mail:。
冯怡,女,教授,博士生导师,研究方向:中药制剂关键技术及基础理论研究。联系电话:(021)51322493,E-mail:。
作者简介:

曾佳,女,副研究员,博士在读,研究方向:中药制剂关键技术及基础理论研究。

A combined simulation and experimental study of fluidized bed granulation for traditional Chinese medicine on the basis of computational fluid dynamics
Jia ZENG1, 2, Ting HUANG2, Bin-bin LIU1, Jia-miao WANG1, Ling-lin FENG2, Man XUE2, Ruo-fei DU1 , Yi FENG1
Affiliations
  • 1Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
  • 2NHC Key Laboratory of Reproduction Regulation, Shanghai Engineering Research Center of Reproductive Health Drug and Devices, Shanghai Institute of Planned Parenthood Research, Shanghai 200032, China
出版时间: 2021-01-15
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目的:

开发中药流化床制粒颗粒生长过程预测模型,将中药制剂处方工艺研发由传统实验室试错法向科学化、数字化与智能化转变。

方法:

采用SolidWorks Premium软件构建流化床顶喷制粒机基本工况,采用ANSYS ICEM CFD软件划分工况网格。采用计算流体力学(computational fluid dynamics,CFD)构建颗粒成型数学模型,自定义颗粒成型机制规则并将其编制成用户自定义函数。将所构建的CFD模型分别用于金钱草提取物和垂盆草提取物流化床制粒工艺数值模拟研究,同时进行流化床制粒实验验证,对比数值模拟与实验结果的一致性。

结果:

模拟结果显示,金钱草提取物颗粒和垂盆草提取物颗粒的粒径均随模拟时间延长而增大,且粒径分布逐渐变宽。床层内颗粒的速度、颗粒与流体混合相的压力因颗粒粒径的不断变化而发生相应变化。颗粒粒径增长速率及颗粒空间分布状态的实验结果与数值模拟结果均具有较好的一致性。

结论:

对中药流化床制粒颗粒增长趋势的模拟可用于预测或判断处方工艺的适宜性,从而对最终颗粒的关键质量属性进行有效控制。

流化床制粒  /  金钱草提取物  /  垂盆草提取物  /  数值模拟  /  计算流体力学
Objective:

A prediction model for the granule growth profiles in fluidized bed of traditional Chinese medicine was developed to improve the research and development of traditional Chinese medicine preparation technology from laboratory trial and error to scientific, digital and intelligent mode.

Methods:

The basic working conditions of the fluidized-bed top spray granulator were constructed by SolidWorks Premium software, and the grid was then divided by ANSYS ICEM CFD software. Computational fluid dynamics (CFD) was used to establish the mathematical model of granules agglomeration. The agglomeration mechanism rules were customized and the user-defined functions were cooperated into the model. The established CFD model was used to simulate the granulation process of Lysimachia christinae Hance extract and Sedum sarmentosum Bunge extract in a fluidized bed respectively. Furthermore, the fluidized bed granulation experiments were carried out to verify the accuracy of the model.

Results:

The simulation results showed that the particle size of the granules increased with the increasing simulation time, and the particle size distribution gradually widened. The velocity of the particles and the pressure of the mixed phases in the bed changed due to the particle growth. The experimental results of granules size growth rate and spatial distribution were in good agreement with those of numerical simulation.

Conclusion:

The simulation of granule growth trend can be used to predict or judge the appropriateness of the formulation process and is helpful to effectively control the key quality attributes of the final granules.

fluidized bed granulation  /  Lysimachia christinae Hance extract  /  Sedum sarmentosum Bunge extract  /  numerical simulation  /  computational fluid dynamics
曾佳, 黄婷, 刘斌斌, 王佳苗, 俸灵林, 薛嫚, 杜若飞, 冯怡. 基于计算流体力学的中药流化床制粒工艺数值模拟与实验验证. 中国新药杂志, 2021 , 30 (1) : 62 -72 .
Jia ZENG, Ting HUANG, Bin-bin LIU, Jia-miao WANG, Ling-lin FENG, Man XUE, Ruo-fei DU, Yi FENG. A combined simulation and experimental study of fluidized bed granulation for traditional Chinese medicine on the basis of computational fluid dynamics[J]. Chinese Journal of New Drugs, 2021 , 30 (1) : 62 -72 .

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  • 首发时间:2026-10-29
  • 出版时间:2021-01-15
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  • 录用日期:2020-02-08
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    1上海中医药大学,上海 201203
    2上海市计划生育科学研究所,国家卫生健康委员会计划生育药具重点实验室,上海生殖健康药具工程技术研究中心,上海 200032

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杜若飞,男,副研究员,研究方向:中药制剂关键技术及基础理论研究。联系电话:(021)51322493,E-mail:。
冯怡,女,教授,博士生导师,研究方向:中药制剂关键技术及基础理论研究。联系电话:(021)51322493,E-mail:。
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2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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