Intelligent robotic system for automated shot peening and peen forming

用于自动喷丸和喷丸成型的智能机器人系统

基本信息

  • 批准号:
    430531-2012
  • 负责人:
  • 金额:
    $ 5.88万
  • 依托单位:
  • 依托单位国家:
    加拿大
  • 项目类别:
    Strategic Projects - Group
  • 财政年份:
    2013
  • 资助国家:
    加拿大
  • 起止时间:
    2013-01-01 至 2014-12-31
  • 项目状态:
    已结题

项目摘要

Shot peen forming (or SPF) and Shot peening (or SP) and are extensively applied in aerospace and transportation engineering to, respectively, form curved shapes from sheet metal (which would be difficult to form with traditional methods like stamping) and improve mechanical properties of the surfaces. Despite a wide range of their applications, many SPF and SP processes are currently executed mostly manually or in an open-loop fashion by qualified operators. The reach, repeatability, accuracy, and response time of the processes are then obviously limited by those of the operator. A robotic system seems to offer an attractive substitute addressing the aforementioned issues. However, the application of robots in such applications is hindered by the process uncertainties which limit the accuracy, repeatability, and response time of automated solutions. For instance, several trials to reach the desired forming are common to many SPF processes. Two main sources of uncertainty, tackled in this project, include the nozzle's motion (position and velocity) and peening coverage.
喷丸成形(或SPF)和喷丸(或SP)广泛应用于航空航天和运输工程中,分别从金属板形成弯曲形状(这将难以用传统方法如冲压形成)并改善表面的机械性能。尽管它们的应用范围很广,但许多SPF和SP过程目前大多由合格的操作员手动或以开环方式执行。过程的可达性、可重复性、准确性和响应时间显然受到操作员的限制。机器人系统似乎提供了解决上述问题的有吸引力的替代品。然而,机器人在这些应用中的应用受到过程不确定性的阻碍,这些不确定性限制了自动化解决方案的准确性、可重复性和响应时间。例如,达到所需成形的若干试验对于许多SPF工艺是常见的。两个主要的不确定性来源,在这个项目中解决,包括喷嘴的运动(位置和速度)和喷丸覆盖范围。

项目成果

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JanabiSharifi, Farrokh其他文献

JanabiSharifi, Farrokh的其他文献

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{{ truncateString('JanabiSharifi, Farrokh', 18)}}的其他基金

High-performance image-guided continuum robots
高性能图像引导连续体机器人
  • 批准号:
    RGPIN-2017-06930
  • 财政年份:
    2022
  • 资助金额:
    $ 5.88万
  • 项目类别:
    Discovery Grants Program - Individual
High-performance image-guided continuum robots
高性能图像引导连续体机器人
  • 批准号:
    RGPIN-2017-06930
  • 财政年份:
    2021
  • 资助金额:
    $ 5.88万
  • 项目类别:
    Discovery Grants Program - Individual
High-performance image-guided continuum robots
高性能图像引导连续体机器人
  • 批准号:
    RGPIN-2017-06930
  • 财政年份:
    2020
  • 资助金额:
    $ 5.88万
  • 项目类别:
    Discovery Grants Program - Individual
A Thermal-Optical Vision System for Identification and Localization of Symptomatic COVID-19 Patients
用于识别和定位有症状的 COVID-19 患者的热光视觉系统
  • 批准号:
    554496-2020
  • 财政年份:
    2020
  • 资助金额:
    $ 5.88万
  • 项目类别:
    Alliance Grants
High-performance image-guided continuum robots
高性能图像引导连续体机器人
  • 批准号:
    RGPIN-2017-06930
  • 财政年份:
    2019
  • 资助金额:
    $ 5.88万
  • 项目类别:
    Discovery Grants Program - Individual
A High Performance Motion Capture System to Support Versatile Research Programs
支持多种研究项目的高性能动作捕捉系统
  • 批准号:
    RTI-2020-00639
  • 财政年份:
    2019
  • 资助金额:
    $ 5.88万
  • 项目类别:
    Research Tools and Instruments
High-performance image-guided continuum robots
高性能图像引导连续体机器人
  • 批准号:
    RGPIN-2017-06930
  • 财政年份:
    2018
  • 资助金额:
    $ 5.88万
  • 项目类别:
    Discovery Grants Program - Individual
A Medical Robotic Platform for Surgical and Interventional Procedures
用于外科手术和介入手术的医疗机器人平台
  • 批准号:
    RTI-2019-00887
  • 财政年份:
    2018
  • 资助金额:
    $ 5.88万
  • 项目类别:
    Research Tools and Instruments
Obstacle detection, localization, and avoidance for autonomous robotic seeding**
自主机器人播种的障碍物检测、定位和规避**
  • 批准号:
    533707-2018
  • 财政年份:
    2018
  • 资助金额:
    $ 5.88万
  • 项目类别:
    Engage Grants Program
Development and commercialization of a visual learning system for robot programming by demonstration
通过演示进行机器人编程的视觉学习系统的开发和商业化
  • 批准号:
    486866-2015
  • 财政年份:
    2018
  • 资助金额:
    $ 5.88万
  • 项目类别:
    Idea to Innovation

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