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Analysis and optimization of the film cooling in industrial operating high performance blown film plants based on an integrative and calibrated process model

Analysis and optimization of the film cooling in industrial operating high performance blown film plants based on an integrative and calibrated process model
基于集成和校准的工艺模型对工业运营的高性能吹膜工厂中的薄膜冷却进行分析和优化
批准号:
284379684
负责人:
Professor Dr.-Ing. Johannes Karl Wortberg
金额:
$0.0万
依托单位国家:
德国
项目类别:
Research Grants (Transfer Project)
财政年份:
2016
资助国家:
德国
项目状态:
已结题
起止时间:
2015-12-31 至 2018-12-31

项目摘要

项目成果

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中文摘要
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英文摘要
Like for any other extrusion process, the blown film extrusion is decisively limited by the provided air cooling capacity. Achievable throughputs can be improved by the optimization of the cooling system to a large extent. The motivation of this research project can be seen in the transfer of results and scientific knowledge, based on two preceding DFG projects, in the computer-aided optimization of cooling systems for laboratory blown film lines to industrial production scale. Besides the improvement of the output, the focus is on the identification of potentials in enhancing the process stability. With regard to remarkable changes in the process boundary conditions, one must now adapt and transfer the developed modelling approaches. This includes on the one hand geometric and on the other hand process-related boundary conditions. Besides the prevailing mass flow rates, cooling air volume flows as well as the flow phenomena, additionally the realistic deformation processes inside the film and the geometrical changes of all active and passive involved cooling components have to be taken into consideration. This included the integration of an internal bubble cooling device inside the process environment. The numerical realization is to be done by using the successfully verified and validated Prozess- and Prognosemodell. The challenge is the realistic computation of the tube formation zone at varying process- and cooling conditions. For this purpose various experimental process conditions have to be recorded, to create the basis for the following calibration process and the examination of the capability in reproducing the process state. After finishing the model calibration and proving the reproducing capabilities, the main emphasis will be on the simulation based realization of system optimization potentials.for high capacity blown film lines with output rates of 1000kg/h and die diameter up to 800mm. Furthermore the available material spectrum has to be extended by new multilayer compounds (3-layers / 5-layers), which have to be taken into account concerning the modeling. In cooperation with the industrial partner, the virtual proven optimization potentials have to be experimentally tested and validated in the industrial production environment, to meet the shared goal of improving the output.
期刊论文(2)
专著(0)
科研奖励(0)
会议论文
A process-oriented scale-up/scale-down strategy for industrial blown film processes: Theory and experiments
工业吹膜工艺的面向工艺的放大/缩小策略:理论与实验
DOI: 10.1177/8756087917741926
发表时间: 2018
期刊: Journal of Plastic Film & Sheeting
影响因子: 3.1
作者: [Neubert, Wortberg, Janßen]
通讯作者: Janßen
A new scale-up/scale-down method for the blown film extrusion
一种新的吹膜挤出放大/缩小方法
DOI: 10.1063/1.5121659
发表时间: 2017
期刊: PROCEEDINGS OF PPS-33 : The 33rd International Conference of the Polymer Processing Society – Conference Papers
影响因子: --
作者: [Neubert, Wortberg]
通讯作者: Wortberg
Functionally integrative extruder concept with freely rotating screw sleeve and dynamic mixer to achieve high melt quality in high speed operation
Thermo-rheological phenomena at wall boundary layers during color and material changes in plastics extrusion
Analysis and optimization of blown film cooling systems based on an integrative and calibrated process model
Untersuchungen an einem neuartigen Extruderkonzept mit schnelldrehender Schnecke
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
基于异构医学影像数据的深度挖掘技术及中枢神经系统重大疾病的精准预测
  • 批准号:
    61672236
  • 项目类别:
    面上项目
  • 资助金额:
    64.0万元
  • 批准年份:
    2016
  • 负责人:
    王骏
  • 依托单位:
内容分发网络中的P2P分群分发技术研究
  • 批准号:
    61100238
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    20.0万元
  • 批准年份:
    2011
  • 负责人:
    郑小盈
  • 依托单位:
微生物发酵过程的自组织建模与优化控制
  • 批准号:
    60704036
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    21.0万元
  • 批准年份:
    2007
  • 负责人:
    高学金
  • 依托单位: