改进体积吸附装置，用于吸附热和吸收率的组合测量

IF 5.6 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Measurement Pub Date : 2025-09-28 DOI:10.1016/j.measurement.2025.119138

Mohd Abdullah Khan, Sourav Mitra

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引用次数: 0

摘要

本研究提出了一个预先存在的体积吸附装置的修改，使吸附吸收量和吸附热（Qst）的测定同时进行。该系统集成了基于热电堆的热流传感器、真空兼容的电馈通和高分辨率电压采集。原位焦耳加热校准的热通量传感器灵敏度为15.23±0.26µV/(W/m2)，总量热灵敏度为11.74±0.16µV/mW，分辨率为1.3µW。该系统使用水蒸气/MIL-101（Cr）进行演示，最佳吸附剂质量为~ 0.75 g，可以可靠地吸收和检测热信号。直接测量的Qst范围为2965至2600 kJ/kg，捕获了与吸收相关的变化，避免了与间接估计方法相关的不确定性。重复性测试证实多次运行时摄取和Qst在±10%以内。所提出的设置修改提供了一种实用可靠的方法，直接测量吸附热，对现有体积设置的变化最小，而单独的商业量热计的名义额外成本。

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Modifying volumetric adsorption setup for combined measurement of adsorption heat and uptake

This study presents a modification of a pre-existing volumetric adsorption setup to enable the determination of adsorption uptake and heat of adsorption (Q_st) simultaneously. The system integrates a thermopile-based heat flux sensor, vacuum-compatible electrical feedthroughs, and a high-resolution voltage acquisition. In-situ Joule-heating calibration yielded a heat flux sensor sensitivity of 15.23 ± 0.26 µV/(W/m²), overall calorimetric sensitivity of 11.74 ± 0.16 µV/mW and a resolution of 1.3 µW. The system is demonstrated using water vapour/MIL-101(Cr), with an optimal adsorbent mass of ∼0.75 g for reliable uptake and detectable heat signals. Directly measured Q_st ranged from 2965 to 2600 kJ/kg, capturing uptake-dependent variations and avoiding uncertainties associated with indirect estimation methods. Repeatability tests confirmed uptake and Q_st within ± 10 % across multiple runs. The proposed setup modification provides a practical and reliable approach for direct measurement of adsorption heat with minimal changes to existing volumetric setup at nominal additional cost of a standalone commercial calorimeter.

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来源期刊

Measurement 工程技术-工程：综合

CiteScore

10.20

自引率

12.50%

发文量

1589

审稿时长

12.1 months

期刊介绍： Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.