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Combination of Automated Fibre Placement (AFP) and Additive Layer Manufacturing (ALM)

Combination of Automated Fibre Placement (AFP) and Additive Layer Manufacturing (ALM)
自动纤维铺放 (AFP) 与增材层制造 (ALM) 的结合
批准号:
393105855
负责人:
Professor Dr.-Ing. Michael Sinapius
金额:
$0.0万
依托单位国家:
德国
项目类别:
Research Grants
财政年份:
2017
资助国家:
德国
项目状态:
已结题
起止时间:
2016-12-31 至 2019-12-31

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中文摘要
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英文摘要
Automated processing techniques such as Automated Fiber Placement (AFP) or Automated Tape Laying (ATL) are well known nowadays. There is still much potential in these procedures to achieve better results. In the proposed research, the problem with the Automated Fiber Placement is addressed and then presented the solution to the problem. The gaps between the prepreg are often created when the fiber composite materials are laid down. These are particularly apparent on complex and double-curved surfaces. A study by the American Institute of Aeronautics and Astronautics (AIAA) has shown that a gap of 0.76 mm can reduce the compressive strength of the laminate up to 27%. In order to cover the unavoidable weak point of this production method, additional fiber composite layers are laid in order to increase the mechanical properties of components. This means the components will be heavier and more expensive to produce. In the proposed research, a 3D printer with an endless fiber-reinforced thermoplastic is integrated into a mobile thermoplastic AFP head. After placement the Prepreg on the mold, the gaps are detected by a sensor profile. The gaps are filled in with the aid of a 3D printer with continuous-fiber reinforced plastics. In combination of the two methods, the components can be produced more homogeneously. Subsequently the components are produced faster, cheaper and even lighter because of the avoidance of the additional layer.
期刊论文(3)
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科研奖励(0)
会议论文
Adaptive Feeding Roller with An Integrated Cutting System for Automated Fiber Placement (AFP)
带有集成切割系统的自适应喂入辊,用于自动纤维铺放 (AFP)
DOI: 10.3390/jcs4030092
发表时间: 2018
期刊: Journal of Composites Science
影响因子: 3.3
作者: [Mohammad Bahar, Michael Sinapius]
通讯作者: Michael Sinapius
A NEAT Based Two Stage Neural Network Approach to Generate a Control Algorithm for a Pultrusion System
基于 NEAT 的两级神经网络方法生成拉挤系统的控制算法
DOI: 10.3390/ai2030022
发表时间: 2021
期刊: AI
影响因子: --
作者: [Christian Pommer, Michael Sinapius, Marco Brysch, Naser Al Natsheh]
通讯作者: Naser Al Natsheh
In Situ Consolidation of Thermoplastic Prepreg by Generating Harmonic Oscillations on the Consolidation Roller
通过在固结辊上产生谐波振荡来原位固结热塑性预浸料
DOI: 10.3390/jcs6010001
发表时间: 2022
期刊: Journal of Composites Science
影响因子: 3.3
作者: [Mohammad Bahar, Marco Brysch, Michael Sinapius]
通讯作者: Michael Sinapius
Hybrid Consolidation
  • 批准号:
    314731577
  • 项目类别:
    Research Grants
  • 资助金额:
    $0.0万
  • 财政年份:
    2016
  • 负责人:
    Professor Dr.-Ing. Michael Sinapius
  • 依托单位:
Controlled Pultrusion Process including in-situ quality-control
  • 批准号:
    289466965
  • 项目类别:
    Research Grants
  • 资助金额:
    $0.0万
  • 财政年份:
    2016
  • 负责人:
    Professor Dr.-Ing. Michael Sinapius
  • 依托单位:
Shape variable foil bearings
  • 批准号:
    280508116
  • 项目类别:
    Research Grants
  • 资助金额:
    $0.0万
  • 财政年份:
    2015
  • 负责人:
    Professor Dr.-Ing. Michael Sinapius
  • 依托单位:
Coordination Funds
  • 批准号:
    250827808
  • 项目类别:
    Research Units
  • 资助金额:
    $0.0万
  • 财政年份:
    2014
  • 负责人:
    Professor Dr.-Ing. Michael Sinapius
  • 依托单位:
海外基金