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Computer Vision for Inspection of Internal Composite Structure Developed in High-Throughput Manufacturing Processes

Computer Vision for Inspection of Internal Composite Structure Developed in High-Throughput Manufacturing Processes
用于检查高通量制造工艺中开发的内部复合结构的计算机视觉
批准号:
RGPIN-2022-05447
负责人:
Kravchenko, Sergey
金额:
$1.82万
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2022
资助国家:
加拿大
项目状态:
已结题
起止时间:
2022-01-01 至 2023-12-31

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中文摘要
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英文摘要
Discontinuous, long fiber-reinforced polymer (DLFRP) composites have gained importance in the transportation industry due to the weight and economic savings they provide. One of the most attractive attributes of DLFRP composites is their ease of manufacturing manufacturability into geometrically complex three-dimensional parts using high-throughput methods such as compression molding. The quality assurance of the fiber orientation distribution (FOD) in a molded part is critical since the configuration of the reinforcing fibers is significantly changed throughout the production process, and the final FOD translates into the part's mechanical and functional properties. Poor production quality control results in significant operational and financial costs as high as 15-20% of annual sales revenue. The current state-of-the-art shows that conventional imagery-based inspection methods for FOD have a number of limitations and the development of advanced inspection methods is instrumental to unlock the full potential that DLFRP composites have to offer for lightweight applications. As such, this NSERC Discovery research program aims at developing a new, integrated multi-physics, multi-scale simulation modeling and experimental approach for FOD analysis in compression-molded DLFRP composites. The main tangible outcomes of this research program will be: (i) technology for online (real-time) data-driven analysis of thermographic imagery for non-destructive inspection of FOD; (ii) enhancement of the fundamental science necessary for technology development; (iii) training highly qualified personnel (HQP) with competencies in manufacturing, inspection, and numerical simulation-based modeling of advanced fiber reinforced polymer composites. Once established and validated, the proposed integrated framework is expected to be widely used by Canadian companies in the aerospace, automotive, and marine sectors, helping them to ensure the quality and repeatability of the mechanical properties in compression-molded DLFRP composite parts. Replacing metal parts with compression-molded DLFRP composites results in up to 40% weight savings which translates to energy savings, fuel economy and reduced global emissions. Compression molding allows mass production of small-to-medium sized, complex-shaped composite parts with zero waste material - these factors play a significant role in reducing the cost and environmental effects of composite manufacturing.
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Computer Vision for Inspection of Internal Composite Structure Developed in High-Throughput Manufacturing Processes
  • 批准号:
    DGECR-2022-00040
  • 项目类别:
    Discovery Launch Supplement
  • 资助金额:
    $0.91万
  • 财政年份:
    2022
  • 负责人:
    Kravchenko, Sergey
  • 依托单位:
国内基金
海外基金
老年人群视障风险VISION管控模式构建与实证研究
  • 批准号:
    71974198
  • 项目类别:
    面上项目
  • 资助金额:
    48.5万元
  • 批准年份:
    2019
  • 负责人:
    王爱平
  • 依托单位: