Model driven design of dense phase wet granulation processes

密相湿法制粒工艺的模型驱动设计

基本信息

  • 批准号:
    EP/K02566X/1
  • 负责人:
  • 金额:
    $ 31.81万
  • 依托单位:
  • 依托单位国家:
    英国
  • 项目类别:
    Research Grant
  • 财政年份:
    2013
  • 资助国家:
    英国
  • 起止时间:
    2013 至 无数据
  • 项目状态:
    已结题

项目摘要

Wet granulation is the process of using a liquid binder to form well structured and well behaved granules from difficult to handle fine powders. Granulation allows the development of structured particulate products with defined attributes (flowability, strength, dissolution profile, etc) from a fine powder feed. The granulation process is a key step in the production of a wide range of products important to the UK manufacturing industries including pharmaceuticals (GSK, Astra Zeneca), food and consumer products (Nestle, Procter and Gamble, Unilever), agricultural and specialty chemicals (Syngenta). It is often the most problematic step and can cause problems in product quality, time to market, and increased cost through unnecessarily high recycle.Despite its industrial importance, approaches to the design and scaling of granulation processes are still very empirical in practice. Transfer of knowledge to new formulations, or to new equipment designs is difficult at best. The goal of this project is to develop a compartment based modeling framework for design and scaling dense phase wet granulation processes. We will develop and validate coupled discrete element (DEM)/population balance (PB) models to predict the evolution of granule property distributions for dense phase wet granulators. The specific project objectives are to:1. Develop compartment based multiscale design models for dense phase wet granulation processes;2. Validate these models using laboratory scale batch high shear wet granulators; and 3. Develop gSOLIDS modules for batch and continuous wet granulators and use these to develop and implement educational case studies.The project will develop a new collaboration between Sheffield University and Purdue University (USA) through the visiting scientist, Professor Jim Litster from Purdue. A key outcome of the project will be the development of new tools to support the UK manufacturing industries in efficient manufacture of structured particulate products.
湿造粒是使用液体粘合剂从难以处理的细粉末中形成结构良好、性能良好的颗粒的过程。造粒允许从细粉饲料中开发具有定义属性(流动性,强度,溶解轮廓等)的结构化颗粒产品。造粒过程是英国制造业生产一系列重要产品的关键步骤,包括制药(GSK, Astra Zeneca),食品和消费品(雀巢,宝洁,联合利华),农业和特种化学品(先正达)。这通常是最有问题的步骤,可能会导致产品质量问题,上市时间问题,并通过不必要的高回收增加成本。尽管它的工业重要性,方法的设计和缩放造粒过程仍然是非常经验的实践。将知识转移到新的配方或新的设备设计上是很困难的。这个项目的目标是开发一个基于隔间的建模框架,用于设计和缩放密相湿造粒过程。我们将开发和验证耦合离散元(DEM)/种群平衡(PB)模型,以预测密相湿制粒机颗粒性质分布的演变。具体的项目目标是:1。开发基于隔间的多尺度密相湿造粒工艺设计模型;使用实验室规模的间歇式高剪切湿式造粒机验证这些模型;和3。为间歇式和连续式湿式造粒机开发gSOLIDS模块,并使用这些模块开发和实施教育案例研究。该项目将通过来自普渡大学的客座科学家Jim Litster教授,在谢菲尔德大学和普渡大学(美国)之间开展新的合作。该项目的一个关键成果将是开发新工具,以支持英国制造业高效制造结构化颗粒产品。

项目成果

期刊论文数量(2)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Kinetics of immersion nucleation driven by surface tension
表面张力驱动的浸入成核动力学
  • DOI:
    10.1016/j.powtec.2018.05.001
  • 发表时间:
    2018
  • 期刊:
  • 影响因子:
    5.2
  • 作者:
    Pitt K
  • 通讯作者:
    Pitt K
High-shear granulation: An investigation into the granule consolidation and layering mechanism
  • DOI:
    10.1016/j.powtec.2019.07.076
  • 发表时间:
    2019-10-01
  • 期刊:
  • 影响因子:
    5.2
  • 作者:
    de Koster, Stefan A. L.;Pitt, Kate;Smith, Rachel M.
  • 通讯作者:
    Smith, Rachel M.
{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Agba Salman其他文献

Tableting model assessment of porosity and tensile strength using a continuous wet granulation route
  • DOI:
    10.1016/j.ijpharm.2021.120934
  • 发表时间:
    2021-09-25
  • 期刊:
  • 影响因子:
  • 作者:
    Li Ge Wang;Chalak Omar;James D. Litster;Jianfeng Li;Niall Mitchell;Stefan Bellinghausen;Dana Barrasso;Agba Salman;David Slade
  • 通讯作者:
    David Slade

Agba Salman的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Agba Salman', 18)}}的其他基金

Discrete computational modelling of twin screw granulation
双螺杆造粒的离散计算模型
  • 批准号:
    EP/N001605/1
  • 财政年份:
    2016
  • 资助金额:
    $ 31.81万
  • 项目类别:
    Research Grant

相似国自然基金

Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
  • 批准号:
  • 批准年份:
    2024
  • 资助金额:
    万元
  • 项目类别:
    外国青年学者研究基金项目
基于Cache的远程计时攻击研究
  • 批准号:
    60772082
  • 批准年份:
    2007
  • 资助金额:
    28.0 万元
  • 项目类别:
    面上项目

相似海外基金

Improving data-driven design using physical model-based machine learning
使用基于物理模型的机器学习改进数据驱动设计
  • 批准号:
    23K13239
  • 财政年份:
    2023
  • 资助金额:
    $ 31.81万
  • 项目类别:
    Grant-in-Aid for Early-Career Scientists
TMJ SYMPHONY Systems-integrated model and mechanisms of patient-centered holistic outcomes and network-supported training and therapy
TMJ SYMPHONY 系统集成模型和以患者为中心的整体结果机制以及网络支持的培训和治疗
  • 批准号:
    10829112
  • 财政年份:
    2023
  • 资助金额:
    $ 31.81万
  • 项目类别:
Development and application of a quantitive model for HIV-1 transcriptional activation driven by TAR RNA conformational dynamics
TAR RNA构象动力学驱动的HIV-1转录激活定量模型的开发和应用
  • 批准号:
    10750552
  • 财政年份:
    2023
  • 资助金额:
    $ 31.81万
  • 项目类别:
Collaborative Research: SHF: Small: Model-driven Design and Optimization of Dataflows for Scientific Applications
协作研究:SHF:小型:科学应用数据流的模型驱动设计和优化
  • 批准号:
    2331153
  • 财政年份:
    2023
  • 资助金额:
    $ 31.81万
  • 项目类别:
    Standard Grant
Collaborative Research: SHF: Small: Model-driven Design and Optimization of Dataflows for Scientific Applications
协作研究:SHF:小型:科学应用数据流的模型驱动设计和优化
  • 批准号:
    2331152
  • 财政年份:
    2023
  • 资助金额:
    $ 31.81万
  • 项目类别:
    Standard Grant
Computational model-driven design to mitigate vein graft failure after coronary artery bypass
计算模型驱动的设计可减轻冠状动脉搭桥术后静脉移植失败的风险
  • 批准号:
    10683327
  • 财政年份:
    2022
  • 资助金额:
    $ 31.81万
  • 项目类别:
Computational model-driven design to mitigate vein graft failure after coronary artery bypass
计算模型驱动设计减轻冠状动脉搭桥术后静脉移植失败
  • 批准号:
    10539814
  • 财政年份:
    2022
  • 资助金额:
    $ 31.81万
  • 项目类别:
A Novel BRCA1 Heterozygosity Driven Breast Cancer Mouse Model to Identify Tumor Initiating Events and Therapeutic Strategies
一种新型 BRCA1 杂合性驱动的乳腺癌小鼠模型,用于识别肿瘤起始事件和治疗策略
  • 批准号:
    10588256
  • 财政年份:
    2022
  • 资助金额:
    $ 31.81万
  • 项目类别:
A Novel BRCA1 Heterozygosity Driven Breast Cancer Mouse Model to Identify Tumor Initiating Events and Therapeutic Strategies
一种新型 BRCA1 杂合性驱动的乳腺癌小鼠模型,用于识别肿瘤起始事件和治疗策略
  • 批准号:
    10438298
  • 财政年份:
    2022
  • 资助金额:
    $ 31.81万
  • 项目类别:
Development of the AI-driven model for anti-SUD drug development based on neuronal plasticity
基于神经元可塑性的人工智能驱动抗SUD药物开发模型的开发
  • 批准号:
    10467528
  • 财政年份:
    2022
  • 资助金额:
    $ 31.81万
  • 项目类别:
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了