Non-Contact Measurements for Industrial Quality Control

用于工业质量控制的非接触式测量

基本信息

  • 批准号:
    RGPIN-2019-05579
  • 负责人:
  • 金额:
    $ 3.35万
  • 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:
    2021
  • 资助国家:
    加拿大
  • 起止时间:
    2021-01-01 至 2022-12-31
  • 项目状态:
    已结题

项目摘要

The proposed research aims to develop improved methods for non-contact testing and quality control of industrial products and processes. Such techniques are attractive because they minimally impact production flow. They can give real-time information and allow prompt decision making for material quality and process control. To give a specific focus, I have framed my research program from the perspective of two applications of non-contact testing in the wood industry, but practical applications reach substantially beyond. The proposed work extends and builds on prior research on the development of non-contacting optical and X-ray sensors for material quality control in the wood industry. LUMBER GRAIN ANGLE MEASUREMENT To compete effectively in the international market, Canadian sawmills must produce the highest value products from the available raw material. For construction products, wood strength is a primary focus. However, the substantial variability of wood presents a serious challenge to strength assessments, so quality control becomes very conservative. While of good safety, this approach seriously wastes a lot of high value material. The strength of wood depends directly on grain direction. A deviation of about 15 deg. halves wood strength. Consequently, grain angle is a very effective wood strength indicator. Established measurement methods are limited because they can measure only the surface (in-plane) grain angle, but not the diving (out-of-plane) angle. The directional reflection method explored here is unique in that it can measure both angles. The method exploits the characteristic of a wood surface to reflect incident light preferentially in a plane perpendicular to the grain. In the proposed work, a measurement device of novel geometry is explored to enable grain angle profile scans to be made over a wide range of grain angles. INDUSTRIAL SAWBLADE TENSIONING MEASUREMENT In sawmills, the wood raw material consumes about 75% of total costs. Thus, it is very important that industrial saws should be as thin as possible to produce minimum sawdust waste, while also being thick enough to cut in a straight line. The allowable sawblade thickness can be further reduced by inducing stresses into the saw body by a process called "tensioning". To determine effective processing conditions, it is necessary to assess each saw individually. This assessment involves observing very small shape changes that are difficult to measure in a consistent way. Electronic Speckle Pattern Interferometry (ESPI) is proposed here as a means of measuring the small deformations in sawblades. The shearographic ESPI technique is particularly well suited because it measures surface slope and so can better detect local deformation details.
这项拟议的研究旨在开发工业产品和过程的非接触测试和质量控制的改进方法。这些技术之所以有吸引力,是因为它们对生产流程的影响最小。它们可以提供实时信息,并允许对材料质量和过程控制做出及时决策。为了给出一个具体的重点,我从非接触检测在木材行业的两个应用角度制定了我的研究计划,但实际应用远远超出了这一范围。这项拟议的工作是对木材工业中用于材料质量控制的非接触式光学和X射线传感器开发的先前研究的扩展和基础。为了在国际市场上有效地竞争,加拿大锯木厂必须利用现有的原材料生产出价值最高的产品。对于建筑产品来说,木材强度是首要关注点。然而,木材的巨大变异性对强度评估提出了严重的挑战,因此质量控制变得非常保守。这种方法在安全性好的同时,也严重浪费了大量的高价值材料。木材的强度直接取决于纹理方向。大约15度的偏差。使木材强度减半。因此,纹理角度是一个非常有效的木材强度指标。现有的测量方法是有限的,因为它们只能测量表面(面内)颗粒角度,而不能测量俯冲(平面外)角。这里探讨的定向反射法是独一无二的,因为它可以测量两个角度。该方法利用木材表面的特性,在垂直于木纹的平面上优先反射入射光。在所提出的工作中,探索了一种新的几何形状的测量装置,使得能够在很大范围内进行粒子角轮廓扫描。工业锯片张紧测量在锯木厂,木材原料消耗约75%的总成本。因此,非常重要的是,工业锯应该尽可能薄,以产生最少的锯末废物,同时也要足够厚,以便直线切割。通过一种称为“张紧”的过程在锯体中引入应力,可以进一步减小允许的锯片厚度。为了确定有效的加工条件,有必要对每个锯片单独进行评估。这种评估包括观察很小的形状变化,这些变化很难以一致的方式测量。提出了用电子散斑干涉法(ESPI)测量锯片微小变形的方法。剪切成像ESPI技术特别适合,因为它测量表面坡度,因此可以更好地检测局部变形细节。

项目成果

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Schajer, Gary其他文献

Schajer, Gary的其他文献

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{{ truncateString('Schajer, Gary', 18)}}的其他基金

Non-Contact Measurements for Industrial Quality Control
用于工业质量控制的非接触式测量
  • 批准号:
    RGPIN-2019-05579
  • 财政年份:
    2022
  • 资助金额:
    $ 3.35万
  • 项目类别:
    Discovery Grants Program - Individual
Non-Contact Measurements for Industrial Quality Control
用于工业质量控制的非接触式测量
  • 批准号:
    RGPIN-2019-05579
  • 财政年份:
    2020
  • 资助金额:
    $ 3.35万
  • 项目类别:
    Discovery Grants Program - Individual
Non-Contact Measurements for Industrial Quality Control
用于工业质量控制的非接触式测量
  • 批准号:
    RGPIN-2019-05579
  • 财政年份:
    2019
  • 资助金额:
    $ 3.35万
  • 项目类别:
    Discovery Grants Program - Individual
Non-Destructive Testing of Industrial Materials Using Inverse Techniques
使用逆向技术对工业材料进行无损检测
  • 批准号:
    RGPIN-2014-06015
  • 财政年份:
    2018
  • 资助金额:
    $ 3.35万
  • 项目类别:
    Discovery Grants Program - Individual
Non-Destructive Testing of Industrial Materials Using Inverse Techniques
使用逆向技术对工业材料进行无损检测
  • 批准号:
    RGPIN-2014-06015
  • 财政年份:
    2017
  • 资助金额:
    $ 3.35万
  • 项目类别:
    Discovery Grants Program - Individual
Non-Destructive Testing of Industrial Materials Using Inverse Techniques
使用逆向技术对工业材料进行无损检测
  • 批准号:
    RGPIN-2014-06015
  • 财政年份:
    2016
  • 资助金额:
    $ 3.35万
  • 项目类别:
    Discovery Grants Program - Individual
Non-Destructive Testing of Industrial Materials Using Inverse Techniques
使用逆向技术对工业材料进行无损检测
  • 批准号:
    RGPIN-2014-06015
  • 财政年份:
    2015
  • 资助金额:
    $ 3.35万
  • 项目类别:
    Discovery Grants Program - Individual
Optical measurement of wood grain direction
光学测量木纹方向
  • 批准号:
    479675-2015
  • 财政年份:
    2015
  • 资助金额:
    $ 3.35万
  • 项目类别:
    Collaborative Research and Development Grants
Non-Destructive Testing of Industrial Materials Using Inverse Techniques
使用逆向技术对工业材料进行无损检测
  • 批准号:
    RGPIN-2014-06015
  • 财政年份:
    2014
  • 资助金额:
    $ 3.35万
  • 项目类别:
    Discovery Grants Program - Individual
Inverse methodology for quality control sensing and analysis
质量控制传感和分析的逆向方法
  • 批准号:
    46730-2009
  • 财政年份:
    2013
  • 资助金额:
    $ 3.35万
  • 项目类别:
    Discovery Grants Program - Individual

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