用自动吸附天平测定木材水蒸气吸附数据质量的实验室间研究

IF 3 4区 工程技术 Q3 CHEMISTRY, PHYSICAL
Samuel L. Zelinka, Samuel V. Glass, Natalia Farkas, Emil E. Thybring, Michael Altgen, Lauri Rautkari, Simon Curling, Jinzhen Cao, Yujiao Wang, Tina Künniger, Gustav Nyström, Christopher Hubert Dreimol, Ingo Burgert, Mark G. Roper, Darren P. Broom, Matthew Schwarzkopf, Arief Yudhanto, Mohammad Subah, Gilles Lubineau, Maria Fredriksson, Wiesław Olek, Jerzy Majka, Nanna Bjerregaard Pedersen, Daniel J. Burnett, Armando R. Garcia, Frieder Dreisbach, Louis Waguespack, Jennifer Schott, Luis G. Esteban, Alberto García‑Iruela, Thibaut Colinart, Romain Rémond, Brahim Mazian, Patrick Perré, Lukas Emmerich
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引用次数: 0

摘要

自动吸附天平被广泛用于表征水蒸气与吸湿性材料的相互作用。本文是一项实验室间研究的一部分,研究了自动吸附天平的稳定性和性能。本研究之前的一篇论文通过观察非吸湿性样品随时间的质量变化,研究了自动吸附平衡的质量、温度和相对湿度(RH)稳定性。在这项研究中,我们检查木材样品的质量稳定性保持在恒定的相对湿度为7至10天后,一个步骤的变化。长时间保持的原因是为了收集数据到“操作平衡”,其中质量的变化是在仪器固有的操作稳定性的顺序上。从21个实验室共获得80个数据集,涵盖最终相对湿度水平从10%到95%的吸收。在这些长时间的保持期间,在质量-时间曲线中观察到一些不寻常的行为。通过将数据拟合到经验吸附动力学模型并计算观察到的与平滑行为之间的均方根误差(RMSE)来检查与预期吸附行为的偏差。相对于其他数据集的RMSE中位数而言,RMSE较大的样本通常存在以下几种类型的误差之一:突然扰动、日振荡或吸收步骤期间的长期质量下降。在许多情况下,质量波动与自动吸附平衡的水库温度变化有关。我们讨论了吸湿性材料的吸附测量中的潜在误差,并提出了一个可接受的吸附数据RMSE水平。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Interlaboratory study of the quality of water vapor sorption data for wood from automated sorption balances

Automated sorption balances are widely used for characterizing the interaction of water vapor with hygroscopic materials. This paper is part of an interlaboratory study investigating the stability and performance of automated sorption balances. A previous paper in this study investigated the mass, temperature, and relative humidity (RH) stability of automated sorption balances by looking at the mass change of a non-hygroscopic sample over time. In this study, we examine the mass stability of wood samples held at constant RH for seven to ten days after a step change. The reason for the long hold times was to collect data to “operational equilibrium” where the change in mass is on the order of the inherent operational stability of the instrument. A total of 80 datasets were acquired from 21 laboratories covering absorption with final RH levels ranging from 10 to 95%. During these long hold times, several unusual behaviors were observed in the mass-vs-time curves. Deviations from expected sorption behavior were examined by fitting the data to an empirical sorption kinetics model and calculating the root mean square error (RMSE) between the observed and smoothed behavior. Samples that had a large RMSE relative to the median RMSE of the other datasets often had one of several types of errors: abrupt disturbances, diurnal oscillations, or long-term mass decline during an absorption step. In many cases, mass fluctuations were correlated with changes in the water reservoir temperature of the automated sorption balance. We discuss potential errors in sorption measurements on hygroscopic materials and suggest an acceptable level of RMSE for sorption data.

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来源期刊
Adsorption
Adsorption 工程技术-工程:化工
CiteScore
8.10
自引率
3.00%
发文量
18
审稿时长
2.4 months
期刊介绍: The journal Adsorption provides authoritative information on adsorption and allied fields to scientists, engineers, and technologists throughout the world. The information takes the form of peer-reviewed articles, R&D notes, topical review papers, tutorial papers, book reviews, meeting announcements, and news. Coverage includes fundamental and practical aspects of adsorption: mathematics, thermodynamics, chemistry, and physics, as well as processes, applications, models engineering, and equipment design. Among the topics are Adsorbents: new materials, new synthesis techniques, characterization of structure and properties, and applications; Equilibria: novel theories or semi-empirical models, experimental data, and new measurement methods; Kinetics: new models, experimental data, and measurement methods. Processes: chemical, biochemical, environmental, and other applications, purification or bulk separation, fixed bed or moving bed systems, simulations, experiments, and design procedures.
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