技术
- 传感器 - 热导传感器
- 传感器 - 电表
适用行业
- 农业
- 建筑物
适用功能
- 产品研发
用例
- 结构健康监测
关于客户
本案例研究中的客户是美国农业部林产品实验室,该实验室由美国农业部林业局于 1910 年建立。它位于威斯康星州麦迪逊市,作为全国领先的木材研究机构为公众服务,并被国际公认为木材科学和利用方面公正的技术权威。该实验室在创造森林长期可持续发展技术所需的公私合作伙伴关系中发挥着至关重要的作用。其关键研究领域之一是木材的导热性,这在干燥过程中至关重要。
挑战
美国农业部林产品实验室是一家领先的木材研究机构,它在准确确定木材热导率方面面临着挑战,而热导率是木材干燥过程中的一个关键因素。用于此目的的传统方程式是 50 多年前开发的,仅为某些类型的木材提供粗略指导。这导致木材厂和木材加工公司不得不进行昂贵且耗时的反复试验来确定适当的温度和干燥时间,这通常会导致高废品率。木材的传热系数取决于许多变量,包括年轮密度、树龄、初始含水量和细胞方向。这些特性通常在同一棵树的所有部分并不均匀,木材结构会受季节性天气差异的影响。此外,小直径树木和大直径树木的年轮密度因不同条件下(例如周围植被和气候)的生长率而有很大差异。
解决方案
为了应对这一挑战,实验室使用 ANSYS 参数化设计语言 (APDL) 开发了模型来模拟单元孔隙率的结构变化和排列,以确定有效的传热系数。在宏观层面上,对从典型原木的不同位置切割的木板进行建模、求解和绘图,以使用从微观层面分析获得的热导率值来检查木结构对瞬态传热过程的影响。需要进行数十次模拟才能确定一系列木材几何形状和结构条件的传热率。 APDL 允许插入不同的值并重新运行多个分析,从而无需手动重建多个模拟,即可对这些变化的参数进行重复分析。
运营影响
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