FoamPi: An open-source raspberry Pi based apparatus for monitoring polyurethane foam reactions.
FoamPi: An open-source raspberry Pi based apparatus for monitoring polyurethane foam reactions.
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DOI：
10.1016/j.ohx.2022.e00365
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发表时间：
2022-10
期刊：
影响因子：
2.2
通讯作者：
Ryan, Anthony J.
中科院分区：
文献类型：
--
作者：
Wright, Harry C.;Cameron, Duncan D.;Ryan, Anthony J.
绝热温升是确定聚氨酯泡沫反应以及许多其他放热化学反应中异氰酸酯转化率的重要方法。绝热温升可与高度和质量测量的变化结合使用，以了解聚氨酯发泡过程中发生的发泡和胶凝反应，并提供有关泡孔形态的重要信息。 FoamPi 是一款用于监控聚氨酯发泡反应的开源 Raspberry Pi 设备。该装置有效地监测反应过程中的温度上升、泡沫高度的变化以及质量的变化。还提供了三个 Python 脚本。第一个记录反应过程中的原始数据。第二个校正温度数据，使其可用于绝热升温反应计算异氰酸酯转化率；此外，该脚本还可以减少所有数据中的噪音并消除错误的读数。最终脚本从校正后的数据中提取重要信息，例如最大温度变化和最大高度变化以及到达这些点的时间。此类设备的商业示例已经存在，但这些设备的价格（> 10000 英镑）使得许多研究实验室无法使用这些系统。所提供的 FoamPi 构建价格低廉（350 英镑），此处显示的测试示例表明了 FoamPi 结果的可重复性和精度。
Adiabatic temperature rise is an important method for determining isocyanate conversion in polyurethane foam reactions as well as many other exothermic chemical reactions. Adiabatic temperature rise can be used in conjunction with change in height and mass measurements to gain understanding into the blowing and gelling reactions that occur during polyurethane foaming as well as give important information on cell morphology. FoamPi is an open-source Raspberry Pi device for monitoring polyurethane foaming reactions. The device effectively monitors temperature rise, change in foam height as well as changes in the mass during the reaction. Three Python scripts are also presented. The first logs raw data during the reaction. The second corrects temperature data such that it can be used in adiabatic temperature rise reactions for calculating isocyanate conversion; additionally this script reduces noise in all the data and removes erroneous readings. The final script extracts important information from the corrected data such as maximum temperature change and maximum height change as well as the time to reach these points. Commercial examples of such equipment exist however the price (>£10000) of these equipment make these systems inaccessible for many research laboratories. The FoamPi build presented is inexpensive (£350) and test examples are shown here to indicate the reproducibility of results as well as precision of the FoamPi.
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