课题基金 / 基金详情

Development of a laser backscattering Raman gauge for online wood pulp process control

Development of a laser backscattering Raman gauge for online wood pulp process control
开发用于在线木浆过程控制的激光背散射拉曼测量仪
批准号:
484109-2015
负责人:
Grant, EdwardR
金额:
$1.82万
依托单位国家:
加拿大
项目类别:
Engage Grants Program
财政年份:
2015
资助国家:
加拿大
项目状态:
已结题
起止时间:
2015-01-01 至 2016-12-31

项目摘要

项目成果

Grant, EdwardR的其他基金

相似基金

相关文献

中文摘要
翻译
如果您的提案得到资助,这份通俗易懂的摘要将向公众开放。虽然这不是强制性的,但您可以选择 包括您的企业电话号码和/或您的电子邮件地址,以便于与公众和媒体就您的研究进行联系。 法国版可丢弃 加拿大北方漂白针叶木硫酸盐(NBSK)市场纸浆在纤维强度方面处于世界领先地位, 长度、细度和一致性,这使它们具有无与伦比的能力,可以增加成品的强度和耐用性 商品,推动了对NBSK纸浆的高国际需求。然而,造纸业的进步 世界范围内的技术缩小了加拿大NBSK与劣质纸浆之间的差距,增加了 加拿大供应商面临的性价比压力。为了保持其在世界市场的领导地位, 加拿大纸浆工业必须设计和实施提高纸浆质量的新工艺技术 性能,提高制造效率,减少能源消耗,减少环境影响。 工业实验室经常使用湿化学分析和物理测试来确定 纸浆或纸张,并衡量其对特定最终用途的适用性。然而,实验室检测需要时间和 高技能的个人努力。这种测量的成本和不合时宜的时间尺度限制了它们的使用 用于实时过程控制。光谱方法已显示出作为纸浆材料的工具的前景 纸浆红外光谱、近红外光谱和拉曼光谱的多元分析证明 有效地预测由湿化学分析和网络物理确定的许多性质 性能,如抗拉强度和撕裂强度与湿化学方法不同,光谱探测器可以发挥作用 在线或在线,无需样品制备。然而,尽管已被证实的实用性 在实验室中预测最终产品物理和形态性质的光谱方法 高昂的技术和美元进入成本阻碍了它们在工业中的广泛采用。我们建议 满足这一需求。与行业领先者Canfor纸浆创新公司合作,我们建议开发一种 用于在线纸浆纤维无损分析的经济高效的测量系统,能够 预测市场纸浆产品及其可能形成的纸张的化学和物理属性。
英文摘要
This plain language summary will be available to the public if your proposal is funded. Although it is not mandatory, you may choose to include your business telephone number and/or your e-mail address to facilitate contact with the public and the media about your research. Version française disponible Canadian northern bleached softwood kraft (NBSK) market pulps lead the world in terms of fibre strength, length, fineness and uniformity This gives them an unmatched ability to add strength and durability to finished goods, driving a high international demand for NBSK pulp. However, advances in paper manufacturing technology worldwide have narrowed the gap between Canadian NBSK and inferior pulps, increasing price-performance pressure on Canadian suppliers. To sustain its leadership in the world marketplace, the Canadian pulp industry must devise and implement new process technologies that improve pulp quality properties, increase manufacturing efficiency, decrease energy use and reduce environmental impact. Industrial laboratories often use wet chemical analysis and physical tests to determine the properties of the pulp or paper and gauge its fitness for a particular end use. However, laboratory tests require time and and the efforts of highly skilled personal. The cost and inopportune timescale of such measurements prohibit their use for real-time process control. Spectroscopic methods have shown promise as a tool for pulp materials classification The multivariate analyses of pulp infrared, near-infrared and Raman spectra have proven effective in predicting many of the properties determined by wet chemical analysis, as well as network physical properties, such as tensile and tear strengths Unlike wet chemical methods, spectroscopic probes can function as online or at-line without the need for sample preparation. However, despite the proven utility of spectroscopic methods for predicting end-product physical and morphological properties in the laboratory, the high technological and dollar cost of entry has prevented their widespread adoption in industry. We propose to address this need. In collaboration with industry leader, Canfor Pulp Innovations, we propose to develop a cost-effective measurement system for the nondestructive analysis of in-process pulp fibres that is capable of predicting the chemical and physical attributes of a market pulp product and the paper sheet it can form.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Multivariate measures of in-process wood pulp composition and morphology: smart sensors for real-time process control and fibre product optimization
  • 批准号:
    494643-2016
  • 项目类别:
    Collaborative Research and Development Grants
  • 资助金额:
    $8.39万
  • 财政年份:
    2020
  • 负责人:
    Grant, EdwardR
  • 依托单位:
Laser Spectroscopy of Isolated Molecules and Systems: Structure, Dynamics and Analysis
  • 批准号:
    312481-2013
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $5.03万
  • 财政年份:
    2018
  • 负责人:
    Grant, EdwardR
  • 依托单位:
Multivariate measures of in-process wood pulp composition and morphology: smart sensors for real-time process control and fibre product optimization
  • 批准号:
    494643-2016
  • 项目类别:
    Collaborative Research and Development Grants
  • 资助金额:
    $4.2万
  • 财政年份:
    2018
  • 负责人:
    Grant, EdwardR
  • 依托单位:
Laser Spectroscopy of Isolated Molecules and Systems: Structure, Dynamics and Analysis
  • 批准号:
    312481-2013
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $5.03万
  • 财政年份:
    2017
  • 负责人:
    Grant, EdwardR
  • 依托单位:
国内基金
海外基金
基于激光与管电极电解同步复合(Laser-STEM)的低损伤大深度小孔加工技术基础研究
长链非编码RNA lnc-LASER通过HNF-1α-PCSK9 调控肝脏胆固醇平衡的机制研究
基于康普顿散射的高精度束流截面测量方法的研究
全固态钠黄光激光器波长调控与锁定技术研究
  • 批准号:
    60508013
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    23.0万元
  • 批准年份:
    2005
  • 负责人:
    薄勇
  • 依托单位: