Advanced Manufacturing of Intelligent Structures

智能结构先进制造

基本信息

  • 批准号:
    RGPIN-2021-03792
  • 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:
    2022
  • 资助国家:
    加拿大
  • 起止时间:
    2022-01-01 至 2023-12-31
  • 项目状态:
    已结题

项目摘要

We had always imagined 2020 to be a perfect world where all complex engineering structures like planes, wind turbine blades, bridges, cars would detect and autonomously counteract external loads (weight, torque, winds) as well as internal anomalies (defects, failures) to ensure safety and economy during their entire service-life. What is it that prohibits the engineering structures of today from being intelligent - i.e. to sense and process a change in their surroundings and adapt themselves in accordance to this change? The answer is that today's structures are either: strong, adaptable, or lightweight. Reconfigurable aircraft structures require achieving all the three characteristics in a single material, which is the challenge we design engineers are facing for decades. Intelligent structures possessing the above characteristics mandate smart materials - materials whose physical properties can be altered by external stimuli like stress, moisture, electric and magnetic fields, light, temperature, and chemical substances - and a control system with an inbuilt feedback loop for autonomy. This research program proposes to resolve this conflict by merging advanced manufacturing of high-strength composites with additive manufacturing (AM) of smart materials to create control surfaces for reconfigurable aircraft. Inspired from the nature's growth and development, AM serves as the most pertinent fabrication tool for intelligent structures delivering organic and efficient complex geometries, which are a characteristic of an efficient bird flight, our inspiration from nature. As the airplanes, cars, wind turbine blades today are being manufactured from fiber reinforced polymer (FRP), integrating smart materials, for shape adaptation, during automated fiber placement of FRP would result in considerable weight and space savings. Structural health monitoring with embedded sensors during the production and service of the composite structures will help in efficient and timely repair and thus, enhanced product life cycle. Additionally, three-dimensionally (3D) printed electrical connections, would decrease the wire clutter. Control systems with closed feedback loop are essential to program the reconfiguration into the structures. But, the smart materials of today are inefficient and unreliable compared to their conventional mechanical rigid body alternatives and hence, do not satisfy the aircraft accreditation requirements for safety. My research program aims at developing these smart materials and improving their compatibility with the high strength materials for the design, optimization, and fabrication of intelligent structures. The know-how gained in this project can be directly applied to build intelligent structures for transportation, energy generation, and space; and other structural and functional composite components, especially in personalized equipment like prosthesis, rehabilitation-aid, exoskeletons, and sports equipment towards individuals.
我们一直想象2020年是一个完美的世界,在那里,所有复杂的工程结构,如飞机、风力涡轮机叶片、桥梁、汽车,都将检测并自动抵消外部载荷(重量、扭矩、风)以及内部异常(缺陷、故障),以确保在其整个使用寿命期间的安全性和经济性。是什么阻止了今天的工程结构的智能化--即感知和处理环境的变化并根据这种变化进行自我调整?答案是,今天的结构要么坚固、适应性强,要么轻便。可重新配置的飞机结构要求在一种材料中实现所有这三个特性,这是我们设计工程师几十年来面临的挑战。具有上述特征的智能结构要求智能材料-其物理特性可以通过外部刺激(如应力、水分、电场和磁场、光、温度和化学物质)改变的材料-以及具有内置反馈回路的控制系统,以实现自主。这项研究计划建议通过将高强度复合材料的先进制造与智能材料的添加制造(AM)相结合来解决这一冲突,以创建可重新配置的飞机的操纵面。受到自然生长和发展的启发,AM是智能结构中最合适的制造工具,提供有机和高效的复杂几何形状,这是高效鸟类飞行的特征,也是我们从自然中获得的灵感。由于今天的飞机、汽车、风力涡轮机叶片都是由纤维增强聚合物(FRP)制造的,集成智能材料以进行形状调整,在FRP的自动纤维贴装过程中将节省相当大的重量和空间。在复合材料结构的生产和使用过程中嵌入传感器进行结构健康监测,将有助于高效、及时地进行维修,从而提高产品的生命周期。此外,三维(3D)打印的电气连接将减少电线杂乱。具有闭合反馈回路的控制系统对于将重构编程到结构中是必不可少的。但是,与传统的机械刚体替代材料相比,当今的智能材料效率低、不可靠,因此不能满足飞机认证的安全要求。我的研究项目旨在开发这些智能材料,并改善它们与高强度材料的兼容性,用于智能结构的设计、优化和制造。该项目获得的技术诀窍可直接应用于建造交通、能源和空间的智能结构;以及其他结构和功能复合材料部件,特别是用于个性化设备,如假肢、康复辅助设备、外骨骼和面向个人的运动器材。

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)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Bodkhe, Sampada其他文献

Coextrusion of Multifunctional Smart Sensors
  • DOI:
    10.1002/adem.201800206
  • 发表时间:
    2018-10-01
  • 期刊:
  • 影响因子:
    3.6
  • 作者:
    Bodkhe, Sampada;Noonan, Clara;Therriault, Daniel
  • 通讯作者:
    Therriault, Daniel
Beta-phase enhancement in polyvinylidene fluoride through filler addition: comparing cellulose with carbon nanotubes and clay
  • DOI:
    10.1007/s10965-014-0434-3
  • 发表时间:
    2014-04-16
  • 期刊:
  • 影响因子:
    2.8
  • 作者:
    Bodkhe, Sampada;Rajesh, P. S. M.;Verma, Vivek
  • 通讯作者:
    Verma, Vivek
One-Step Solvent Evaporation-Assisted 3D Printing of Piezoelectric PVDF Nanocomposite Structures
  • DOI:
    10.1021/acsami.7b04095
  • 发表时间:
    2017-06-21
  • 期刊:
  • 影响因子:
    9.5
  • 作者:
    Bodkhe, Sampada;Turcot, Gabrielle;Therriault, Daniel
  • 通讯作者:
    Therriault, Daniel
3D PRINTING TO INTEGRATE ACTUATORS INTO COMPOSITES
  • DOI:
    10.1016/j.addma.2020.101290
  • 发表时间:
    2020-10-01
  • 期刊:
  • 影响因子:
    11
  • 作者:
    Bodkhe, Sampada;Vigo, Lorenzo;Ermanni, Paolo
  • 通讯作者:
    Ermanni, Paolo
Simultaneous 3D Printing and Poling of PVDF and Its Nanocomposites
  • DOI:
    10.1021/acsaem.7b00337
  • 发表时间:
    2018-06-01
  • 期刊:
  • 影响因子:
    6.4
  • 作者:
    Bodkhe, Sampada;Rajesh, P. S. M.;Therriault, Daniel
  • 通讯作者:
    Therriault, Daniel

Bodkhe, Sampada的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Bodkhe, Sampada', 18)}}的其他基金

Advanced Manufacturing of Intelligent Structures
智能结构先进制造
  • 批准号:
    RGPIN-2021-03792
  • 财政年份:
    2021
  • 资助金额:
    $ 1.97万
  • 项目类别:
    Discovery Grants Program - Individual
Advanced Manufacturing of Intelligent Structures
智能结构先进制造
  • 批准号:
    DGECR-2021-00203
  • 财政年份:
    2021
  • 资助金额:
    $ 1.97万
  • 项目类别:
    Discovery Launch Supplement

相似海外基金

Collaborative Research: SWIFT: Data Driven Learning and Optimization in Reconfigurable Intelligent Surface Enabled Industrial Wireless Network for Advanced Manufacturing
合作研究:SWIFT:先进制造可重构智能表面工业无线网络中的数据驱动学习和优化
  • 批准号:
    2414946
  • 财政年份:
    2023
  • 资助金额:
    $ 1.97万
  • 项目类别:
    Standard Grant
Advanced Photogrammetry for Flexible, Intelligent Robot Manufacturing (AFFIRM)
用于灵活、智能机器人制造的高级摄影测量 (AFFIRM)
  • 批准号:
    10027906
  • 财政年份:
    2022
  • 资助金额:
    $ 1.97万
  • 项目类别:
    Collaborative R&D
Collaborative Research: SWIFT: Data Driven Learning and Optimization in Reconfigurable Intelligent Surface Enabled Industrial Wireless Network for Advanced Manufacturing
合作研究:SWIFT:先进制造可重构智能表面工业无线网络中的数据驱动学习和优化
  • 批准号:
    2128656
  • 财政年份:
    2021
  • 资助金额:
    $ 1.97万
  • 项目类别:
    Standard Grant
Advanced Manufacturing of Intelligent Structures
智能结构先进制造
  • 批准号:
    RGPIN-2021-03792
  • 财政年份:
    2021
  • 资助金额:
    $ 1.97万
  • 项目类别:
    Discovery Grants Program - Individual
Intelligent Control of a Robotic Manipulator for Human-Machine Interaction in Advanced Manufacturing
先进制造中人机交互机器人机械手的智能控制
  • 批准号:
    535006-2019
  • 财政年份:
    2021
  • 资助金额:
    $ 1.97万
  • 项目类别:
    Postgraduate Scholarships - Doctoral
Intelligent Advanced Additive Manufacturing - Enabling Dynamic Process Efficiency (iAM-3DPO)
智能先进增材制造 - 实现动态流程效率 (iAM-3DPO)
  • 批准号:
    76940
  • 财政年份:
    2021
  • 资助金额:
    $ 1.97万
  • 项目类别:
    CR&D Bilateral
Collaborative Research: SWIFT: Data Driven Learning and Optimization in Reconfigurable Intelligent Surface Enabled Industrial Wireless Network for Advanced Manufacturing
合作研究:SWIFT:先进制造可重构智能表面工业无线网络中的数据驱动学习和优化
  • 批准号:
    2128482
  • 财政年份:
    2021
  • 资助金额:
    $ 1.97万
  • 项目类别:
    Standard Grant
Collaborative Research: SWIFT: Data Driven Learning and Optimization in Reconfigurable Intelligent Surface Enabled Industrial Wireless Network for Advanced Manufacturing
合作研究:SWIFT:先进制造可重构智能表面工业无线网络中的数据驱动学习和优化
  • 批准号:
    2128511
  • 财政年份:
    2021
  • 资助金额:
    $ 1.97万
  • 项目类别:
    Standard Grant
Advanced Manufacturing of Intelligent Structures
智能结构先进制造
  • 批准号:
    DGECR-2021-00203
  • 财政年份:
    2021
  • 资助金额:
    $ 1.97万
  • 项目类别:
    Discovery Launch Supplement
Intelligent Control of a Robotic Manipulator for Human-Machine Interaction in Advanced Manufacturing
先进制造中人机交互机器人机械手的智能控制
  • 批准号:
    535006-2019
  • 财政年份:
    2020
  • 资助金额:
    $ 1.97万
  • 项目类别:
    Postgraduate Scholarships - Doctoral
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了