• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Holzforschung >Effect of knots and holes on the modulus of elasticity prediction and mapping of sugi (Cryptomeria japonica) veneer using near-infrared hyperspectral imaging (NIR-HSI)
【24h】

Effect of knots and holes on the modulus of elasticity prediction and mapping of sugi (Cryptomeria japonica) veneer using near-infrared hyperspectral imaging (NIR-HSI)

机译：结点和孔洞对近红外高光谱成像（Sugi（japymeria japonica）单板）弹性模量预测和作图的影响

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Naturally occurring knots reduce the mechanical strength of wood. Veneers from sugi (Cryptomeria japonica) served as research material to study the effect of knots and holes. Veneer samples were first subjected to a three-point bending test to obtain measured modulus of elasticity (MOE) values. Then, near-infrared (NIR) hyperspectral imaging (HSI) was used to construct a prediction model and map the predicted MOE values. This is the first attempt for MOE prediction from the entire veneer surface based on NIR-HSI technology, while the mathematical part relies on chemometrics and cross-validation partial least squares regression (CV-PLSR). Maps of MOE prediction values could distinguish between latewood (LW) and earlywood (EW), as well as between a sound knot and a dead knot.
机译：自然产生的结会降低木材的机械强度。 sugi（Cryptomeria japonica）的贴面用作研究结和孔的效果的研究材料。首先对单板样品进行三点弯曲测试，以获得测得的弹性模量（MOE）值。然后，使用近红外（NIR）高光谱成像（HSI）来构建预测模型并映射预测的MOE值。这是基于NIR-HSI技术从整个单板表面进行MOE预测的首次尝试，而数学部分则依靠化学计量学和交叉验证偏最小二乘回归（CV-PLSR）。 MOE预测值的地图可以区分早材（LW）和早材（EW），以及音结和死结。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号