Additive manufacturing optimization and simulation platform for repairing and re-manufacturing of aerospace components

用于航空航天部件修复和再制造的增材制造优化和仿真平台

基本信息

  • 批准号:
    479630-2015
  • 负责人:
  • 金额:
    $ 5.83万
  • 依托单位:
  • 依托单位国家:
    加拿大
  • 项目类别:
    Collaborative Research and Development Grants
  • 财政年份:
    2017
  • 资助国家:
    加拿大
  • 起止时间:
    2017-01-01 至 2018-12-31
  • 项目状态:
    已结题

项目摘要

This research project is a Canada and European collaborative project. It focuses on several key Direct Energy Deposition (DED) Additive Manufacturing (AM) processes that have great potential to be used as cost-effective and efficient repairing and re-manufacturing processes for aerospace components such as turbine blades and landing gears. This project aims to conduct fundamental research to understand the material integrity through chosen DED AM processes, the accuracy and limitations of these deposition processes, effective defect geometry mapping and generation methods, and automated and hybrid DED and post-deposition machining strategies. This project intends to connect repair and re-manufacturing strategies with design through accurate DED process simulation and novel multi-disciplinary design optimisation (MDO) methods to ultimately reduce the weakness of aerospace component at design stage and prolong their the lifecycles. Both powder-based and wire-based DED systems will be investigated to establish an across-the-board comparative study. The data collected through this comprehensive comparative study will be extremely valuable for the OEMs of this project (i.e. GKN, PWC, and HDI) to understand the pros and cons of these DED systems and will help them to select suitable repair and re-manufacturing strategies. The tests conducted in this research are also extremely beneficial for the SMEs in this project (i.e. Liburdi, AV&R, DPS) to validate their existing repairing systems and techniques. Common DED processes are controlled either by a CNC controller or a robotic controller depending on the type of machine that carries the deposition nozzle system. In the proposed research, both CNC controlled and robotic controlled DED systems are going to be studied. There are three aerospace alloys to be investigated in this research: Ti-6Al-4V, Inconel 718, and 300M alloy steel. The research team is multidisciplinary and complementary in expertise and research facilities. The Canadian research team includes academics from McGill University and University of Ottawa. The European research team includes academics from Ecole Centrale de Nantes in France and University of Sheffield in UK.
这项研究项目是加拿大和欧洲合作的项目。它集中在几个关键的直接能量沉积(DED)添加制造(AM)工艺,这些工艺具有巨大的潜力,可以用作航空航天部件(如涡轮叶片和起落架)的具有成本效益和效率的维修和再制造工艺。该项目旨在通过选定的DED AM工艺、这些沉积工艺的精度和局限性、有效的缺陷几何映射和生成方法以及自动化和混合DED和沉积后加工策略来进行基础研究,以了解材料的完整性。该项目旨在通过精确的DED过程模拟和新颖的多学科设计优化(MDO)方法,将维修和再制造策略与设计联系起来,最终减少航空零部件在设计阶段的弱点,延长其生命周期。将对粉状和线状DED系统进行研究,以建立全面的比较研究。通过这项全面的比较研究收集的数据将对该项目的原始设备制造商(即GKN、PWC和HDI)了解这些DED系统的利弊非常有价值,并将帮助他们选择合适的维修和再制造策略。本研究中进行的测试也非常有利于该项目中的中小企业(即Liburdi、AV&R、DPS)验证其现有的维修系统和技术。根据携带沉积喷嘴系统的机器类型的不同,常见的DED工艺由数控控制器或机器人控制器控制。在拟议的研究中,将同时研究数控控制和机器人控制的DED系统。本文研究了三种航空合金:Ti-6Al-4V、Inconel718和300M合金钢。研究团队是多学科的,在专业知识和研究设施方面相互补充。加拿大的研究团队包括来自麦吉尔大学和渥太华大学的学者。欧洲研究团队包括来自法国南特中央学院和英国谢菲尔德大学的学者。

项目成果

期刊论文数量(0)
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Zhao, Yaoyao其他文献

Numerical simulation of part-level temperature fields during selective laser melting of stainless steel 316L
Efficient thermal finite element modeling of selective laser melting of Inconel 718
  • DOI:
    10.1007/s00466-019-01794-0
  • 发表时间:
    2020-03-01
  • 期刊:
  • 影响因子:
    4.1
  • 作者:
    Luo, Zhibo;Zhao, Yaoyao
  • 通讯作者:
    Zhao, Yaoyao
Composite QDs@MIP Nanospheres for Specific Recognition and Direct Fluorescent Quantification of Pesticides in Aqueous Media
用于水介质中农药的特异性识别和直接荧光定量的复合 QD@MIP 纳米球
  • DOI:
    10.1021/ac202735v
  • 发表时间:
    2012-01-03
  • 期刊:
  • 影响因子:
    7.4
  • 作者:
    Zhao, Yaoyao;Ma, Yingxin;Wang, Leyu
  • 通讯作者:
    Wang, Leyu
Intact living-cell electrolaunching ionization mass spectrometry for single-cell metabolomics.
  • DOI:
    10.1039/d2sc02569h
  • 发表时间:
    2022-07-13
  • 期刊:
  • 影响因子:
    8.4
  • 作者:
    Shao, Yunlong;Zhou, Yingyan;Liu, Yuanxing;Zhang, Wenmei;Zhu, Guizhen;Zhao, Yaoyao;Zhang, Qi;Yao, Huan;Zhao, Hansen;Guo, Guangsheng;Zhang, Sichun;Zhang, Xinrong;Wang, Xiayan
  • 通讯作者:
    Wang, Xiayan
Adaptative Mechanisms of Halophytic Eutrema salsugineum Encountering Saline Environment.
  • DOI:
    10.3389/fpls.2022.909527
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    5.6
  • 作者:
    Li, Chuanshun;Duan, Chonghao;Zhang, Hengyang;Zhao, Yaoyao;Meng, Zhe;Zhao, Yanxiu;Zhang, Quan
  • 通讯作者:
    Zhang, Quan

Zhao, Yaoyao的其他文献

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{{ truncateString('Zhao, Yaoyao', 18)}}的其他基金

Function-driven design and simulation methods for hierarchical multi-material structures fabricated via additive manufacturing processes
通过增材制造工艺制造的分层多材料结构的功能驱动设计和仿真方法
  • 批准号:
    RGPIN-2018-05971
  • 财政年份:
    2022
  • 资助金额:
    $ 5.83万
  • 项目类别:
    Discovery Grants Program - Individual
Function-driven design and simulation methods for hierarchical multi-material structures fabricated via additive manufacturing processes
通过增材制造工艺制造的分层多材料结构的功能驱动设计和仿真方法
  • 批准号:
    RGPIN-2018-05971
  • 财政年份:
    2021
  • 资助金额:
    $ 5.83万
  • 项目类别:
    Discovery Grants Program - Individual
Function-driven design and simulation methods for hierarchical multi-material structures fabricated via additive manufacturing processes
通过增材制造工艺制造的分层多材料结构的功能驱动设计和仿真方法
  • 批准号:
    RGPIN-2018-05971
  • 财政年份:
    2020
  • 资助金额:
    $ 5.83万
  • 项目类别:
    Discovery Grants Program - Individual
Function-driven design and simulation methods for hierarchical multi-material structures fabricated via additive manufacturing processes
通过增材制造工艺制造的分层多材料结构的功能驱动设计和仿真方法
  • 批准号:
    522708-2018
  • 财政年份:
    2019
  • 资助金额:
    $ 5.83万
  • 项目类别:
    Discovery Grants Program - Accelerator Supplements
Function-driven design and simulation methods for hierarchical multi-material structures fabricated via additive manufacturing processes
通过增材制造工艺制造的分层多材料结构的功能驱动设计和仿真方法
  • 批准号:
    RGPIN-2018-05971
  • 财政年份:
    2019
  • 资助金额:
    $ 5.83万
  • 项目类别:
    Discovery Grants Program - Individual
Function-driven design and simulation methods for hierarchical multi-material structures fabricated via additive manufacturing processes
通过增材制造工艺制造的分层多材料结构的功能驱动设计和仿真方法
  • 批准号:
    RGPIN-2018-05971
  • 财政年份:
    2018
  • 资助金额:
    $ 5.83万
  • 项目类别:
    Discovery Grants Program - Individual
Function-driven design and simulation methods for hierarchical multi-material structures fabricated via additive manufacturing processes
通过增材制造工艺制造的分层多材料结构的功能驱动设计和仿真方法
  • 批准号:
    522708-2018
  • 财政年份:
    2018
  • 资助金额:
    $ 5.83万
  • 项目类别:
    Discovery Grants Program - Accelerator Supplements
Additive manufacturing optimization and simulation platform for repairing and re-manufacturing of aerospace components
用于航空航天部件修复和再制造的增材制造优化和仿真平台
  • 批准号:
    479630-2015
  • 财政年份:
    2018
  • 资助金额:
    $ 5.83万
  • 项目类别:
    Collaborative Research and Development Grants
Research on sustainability assessment of manufacturing processes and product design
制造工艺和产品设计的可持续性评估研究
  • 批准号:
    436055-2013
  • 财政年份:
    2017
  • 资助金额:
    $ 5.83万
  • 项目类别:
    Discovery Grants Program - Individual
Design and analysis of complex conformal lattice structures for injection molding
注塑成型复杂共形晶格结构的设计与分析
  • 批准号:
    488996-2015
  • 财政年份:
    2015
  • 资助金额:
    $ 5.83万
  • 项目类别:
    Engage Grants Program

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Multifidelity topology optimization method for heat transfer equipment fabricated via additive manufacturing
增材制造传热设备多保真拓扑优化方法
  • 批准号:
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