A robotic metal hybrid additive and subtractive manufacturing system

机器人金属混合增材减材制造系统

基本信息

  • 批准号:
    RGPIN-2020-04205
  • 负责人:
  • 金额:
    $ 1.97万
  • 依托单位:
  • 依托单位国家:
    加拿大
  • 项目类别:
    Discovery Grants Program - Individual
  • 财政年份:
    2020
  • 资助国家:
    加拿大
  • 起止时间:
    2020-01-01 至 2021-12-31
  • 项目状态:
    已结题

项目摘要

Growing demand for the use of cutting-edge metal materials to develop and repair large, complex structures in the aerospace, automotive, and energy sectors has necessitated the development of a low-cost manufacturing process. Additive manufacturing that laminates materials to create the desired workpiece shape has been in the spotlight because it can address a variety of geometric challenges such as interior and overhanging features and parts with a high “buy-to-fly” ratio. Currently, however, additive manufacturing yields low surface finishes, non-uniformly deposited layers, high material costs, long process times, and restricted-size components. This research program proposes to a state-of-art system that can simultaneously cut the uneven layers by collaborating manipulators during the additive process in order to overcome these challenges. Hybrid manufacturing, which combines the conventional subtractive manufacturing process with the additive process, enables us to use relatively cheap solid wire materials instead of expensive powder materials. This change reduces production lead time and improves surface quality by rapidly cutting the uneven surfaces of laminated materials within a short period. The platform for these processes, which consists of manipulators, can be a cost-saving, configuration-flexible, and multi-dimensional alternative. Consequently, combining robotics, subtractive processes, and additive processes into a single technology can synergize cost, process time, quality, and complexity. Large-sized parts applied with expensive materials, like stiffened panels, wing ribs, gas turbines, and pipelines, require an innovative manufacturing process to reduce cost and time. The long-term objective of this research proposal is to achieve the necessary technologies to build a robotic metal hybrid additive and subtractive manufacturing system. The proposed short-term objectives of this research are to understand the dynamics of the system and to improve upon the manipulators' current structural challenges. The robotic metal hybrid manufacturing system itself is novel. The automatic identification methods, the mode coupling effects analysis, and the self-adjustable vibration reduction device are also novel. This proposal's outcomes will be an automatic identification module, stability maps to increase process efficiency, and a self-tunable device. The technological outcomes achieved through the proposed program will enhance Canada's manufacturing technology, serve as catalysts for other novel applications and developments, and promote technology transfer to industry partners. This research is essential for the interdisciplinary training of highly-qualified personnel, who will learn about system design, dynamics, mechatronics, vibration, manufacturing, simulation, and control.
在航空航天中开发大型,复杂结构的尖端材料以及El Energy ORS的需求不断增长,因此必须使低成本的制造工艺构成所需的IECE形状。然而,当前的几何形状(例如内部和悬浮)和零件“买入”比率。 。 这项研究提议在TIV过程中,合作者可以同时将其切成11层,以克服E过程,使我们能够使用相对廉价的固体材料而不是昂贵的粉末材料。层压的Mathin的表面不平坦。和复杂性。 带有昂贵材料的大型零件,例如僵硬的面板,机翼肋骨,燃气轮机和管道工艺,以降低成本和时间。系统。这项研究的短期目标是系统的NAM IC,机器人的当前calling虫自动识别模块,稳定图以增加流程过程以及一个自动调节设备。 拟议计划的技术结果将增强加拿大的制造技术应用和发展,并促进技术合作伙伴的技术转移。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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Lee, Jihyun其他文献

Volatile and sensory profiles of different black rice (Oryza sativa L.) cultivars varying in milling degree
  • DOI:
    10.1016/j.foodres.2021.110150
  • 发表时间:
    2021-01-23
  • 期刊:
  • 影响因子:
    8.1
  • 作者:
    Choi, Sehun;Lee, Jihyun
  • 通讯作者:
    Lee, Jihyun
UHPLC-(ESI)QTOF MS/MS Profiling of Quercetin Metabolites in Human Plasma Postconsumption of Applesauce Enriched with Apple Peel and Onion
Comparison of humoral and cellular immune responses between ChAd-BNT heterologous vaccination and BNT-BNT homologous vaccination following the third BNT dose: A prospective cohort study.
  • DOI:
    10.3389/fimmu.2023.1120556
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    7.3
  • 作者:
    Sim, Wooho;Kang, Hyunhye;Jung, Jin;Lee, Jihyun;Ko, Geon Young;Park, Hye-Sun;Choi, Jeewan;Park, Kinam;Oh, Eun-Jee
  • 通讯作者:
    Oh, Eun-Jee
Anisotropic properties of bovine nasal cartilage.
  • DOI:
    10.1002/jemt.21058
  • 发表时间:
    2012-03
  • 期刊:
  • 影响因子:
    2.5
  • 作者:
    Xia, Yang;Zheng, Shaokuan;Szarko, Matthew;Lee, Jihyun
  • 通讯作者:
    Lee, Jihyun
Dimensions of academic interest among undergraduate students: passion, confidence, aspiration and self-expression
  • DOI:
    10.1080/01443410.2017.1342770
  • 发表时间:
    2018-01-01
  • 期刊:
  • 影响因子:
    3.2
  • 作者:
    Lee, Jihyun;Durksen, Tracy L.
  • 通讯作者:
    Durksen, Tracy L.

Lee, Jihyun的其他文献

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{{ truncateString('Lee, Jihyun', 18)}}的其他基金

A robotic metal hybrid additive and subtractive manufacturing system
机器人金属混合增材减材制造系统
  • 批准号:
    RGPIN-2020-04205
  • 财政年份:
    2022
  • 资助金额:
    $ 1.97万
  • 项目类别:
    Discovery Grants Program - Individual
A robotic metal hybrid additive and subtractive manufacturing system
机器人金属混合增材减材制造系统
  • 批准号:
    RGPIN-2020-04205
  • 财政年份:
    2021
  • 资助金额:
    $ 1.97万
  • 项目类别:
    Discovery Grants Program - Individual
Robotic automation for smart manufacturing processes
智能制造流程的机器人自动化
  • 批准号:
    566521-2021
  • 财政年份:
    2021
  • 资助金额:
    $ 1.97万
  • 项目类别:
    Alliance Grants
Smart robotic system for advanced manufacturing
先进制造智能机器人系统
  • 批准号:
    561037-2020
  • 财政年份:
    2021
  • 资助金额:
    $ 1.97万
  • 项目类别:
    Alliance Grants
A robotic metal hybrid additive and subtractive manufacturing system
机器人金属混合增材减材制造系统
  • 批准号:
    DGECR-2020-00491
  • 财政年份:
    2020
  • 资助金额:
    $ 1.97万
  • 项目类别:
    Discovery Launch Supplement
A low-cost, effective Differential Multi-Ventilation system for use against COVID-19
用于对抗 COVID-19 的低成本、有效的差动多重通气系统
  • 批准号:
    554615-2020
  • 财政年份:
    2020
  • 资助金额:
    $ 1.97万
  • 项目类别:
    Alliance Grants
Smart robotic system for advanced manufacturing
先进制造智能机器人系统
  • 批准号:
    561037-2020
  • 财政年份:
    2020
  • 资助金额:
    $ 1.97万
  • 项目类别:
    Alliance Grants

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