课题基金 / 基金详情

Damage detection in load-bearing additive manufacturing components through use of high-frequency ultrasonic waves

Damage detection in load-bearing additive manufacturing components through use of high-frequency ultrasonic waves
使用高频超声波检测承重增材制造部件的损伤
批准号:
542310-2019
负责人:
VarvaniFarahani, Ahmad
金额:
$1.82万
依托单位:
依托单位国家:
加拿大
项目类别:
Engage Grants Program
财政年份:
2019
资助国家:
加拿大
项目状态:
已结题
起止时间:
2019-01-01 至 2020-12-31

项目摘要

项目成果

VarvaniFarahani, Ahmad的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
Damage detection and health monitoring of load-bearing components have been always prime concern for designers and manufacturers. One of modern processes used for manufacturing of metallic and non-metallic parts is additive manufacturing (AM), also referred to as three-dimensional printing or rapid prototyping. In an additive manufacturing process, a computer program directs a scanner to deposit the material precisely at desired spots to build up the final product layer by layer. This makes it possible to produce objects with complex geometries relatively easier and at an affordable cost. The material could be metal, plastic or ceramic which is melted by an energy source such as laser beam, arc, electron beam or ultrasound. The absence of defects in AM components is critically important, particularly if implanted in human body as a prosthesis. For prostheses, such as knee joint, the product must be defect-free. The detection and monitoring of defects growing under repeated loads necessitates to employ advanced non-destructive testing (NDT) techniques, which do not damage the serviceability of the product. In this project, a unique phased array ultrasonic testing (PAUT) method will be employed. The PAUT has been in use for several years by industries with limited frequency of maximum 10 MHz. This level of frequency is not high enough to assure detection of very small defects/cracks in load-bearing AM products. The present study offers the use of phased array ultrasonic testing method with higher frequencies, as high as 50 MHz, to detect and monitor AM manufactured prostheses components under repeated loads. The method enables defect detection and cracking of few microns over early stages of loading addressing shortcomings of other NDT techniques. The outcome of this project upon completion is to safely manufacture additive components, to minimize damage in the manufactured parts, and to promote risk-free and reliable biomedical products including knee joint prosthesis in service. It is also expected that the mutual collaboration between Ryerson University and FUJIFILM VisualSonics Inc. expands over longer terms through this NSERC engage proposal.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Ratcheting and fatigue response of materials undergoing asymmetric multiaxial and multistep loading spectra in the absence and presence of notches
  • 批准号:
    RGPIN-2021-03047
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.33万
  • 财政年份:
    2022
  • 负责人:
    VarvaniFarahani, Ahmad
  • 依托单位:
Ratcheting and fatigue response of materials undergoing asymmetric multiaxial and multistep loading spectra in the absence and presence of notches
  • 批准号:
    RGPIN-2021-03047
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.33万
  • 财政年份:
    2021
  • 负责人:
    VarvaniFarahani, Ahmad
  • 依托单位:
Damage and life assessment of materials undergoing concurrent fatigue and cyclic plastic strain accumulation over asymmetric multiaxial stress cycles with various loading spectra
  • 批准号:
    RGPIN-2016-04957
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.11万
  • 财政年份:
    2020
  • 负责人:
    VarvaniFarahani, Ahmad
  • 依托单位:
Damage and life assessment of materials undergoing concurrent fatigue and cyclic plastic strain accumulation over asymmetric multiaxial stress cycles with various loading spectra
  • 批准号:
    RGPIN-2016-04957
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.11万
  • 财政年份:
    2019
  • 负责人:
    VarvaniFarahani, Ahmad
  • 依托单位:
国内基金
海外基金
Graphon mean field games with partial observation and application to failure detection in distributed systems
  • 批准号:
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2025
  • 负责人:
    MATHIEULOUROCHLAURIERE
  • 依托单位:
基于深穿透拉曼光谱的安全光照剂量的深层病灶无创检测与深度预测
  • 批准号:
    82372016
  • 项目类别:
    面上项目
  • 资助金额:
    48.00万元
  • 批准年份:
    2023
  • 负责人:
    林俐
  • 依托单位:
膀胱癌高表达基因UPK3A的筛选、鉴定和相关研究
  • 批准号:
    81101922
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    23.0万元
  • 批准年份:
    2011
  • 负责人:
    来永庆
  • 依托单位:
图像分类方法研究及其在色情监测中的应用
  • 批准号:
    61172103
  • 项目类别:
    面上项目
  • 资助金额:
    62.0万元
  • 批准年份:
    2011
  • 负责人:
    王春恒
  • 依托单位: