Department of Electrical and Information Engineering, Polytechnic University of Bari, 70126 Bari, Italy.
Department of Mechanics, Mathematics and Management, Polytechnic University of Bari, 70126 Bari, Italy.
Sensors (Basel). 2021 Sep 22;21(19):6324. doi: 10.3390/s21196324.
In this paper a new low-cost stretchable coplanar capacitive sensor for liquid level sensing is presented. It has been 3D-printed by employing commercial thermoplastic polyurethane (TPU) and conductive materials and using a fused filament fabrication (FFF) process for monolithic fabrication. The sensor presents high linearity and good repeatability when measuring sunflower oil level. Experiments were performed to analyse the behaviour of the developed sensor when applying bending stimuli, in order to verify its flexibility, and a thermal characterization was performed in the temperature range from 10 °C to 40 °C to evaluate its effect on sunflower oil level measurement. The experimental results showed negligible sensitivity of the sensor to bending stimuli, whereas the thermal characterization produced a model describing the relationship between capacitance, temperature, and oil level, allowing temperature compensation in oil level measurement. The different temperature cycles allowed to quantify the main sources of uncertainty, and their effect on level measurement was evaluated.
本文提出了一种新的低成本可拉伸共面电容传感器,用于液位感测。它是通过使用商业热塑性聚氨酯(TPU)和导电材料,并采用熔融沉积成型(FFF)工艺进行整体制造来 3D 打印的。该传感器在测量葵花籽油液位时表现出高线性度和良好的重复性。进行了实验来分析开发的传感器在施加弯曲刺激时的行为,以验证其灵活性,并在 10°C 至 40°C 的温度范围内进行了热特性分析,以评估其对葵花籽油液位测量的影响。实验结果表明,传感器对弯曲刺激的灵敏度可以忽略不计,而热特性分析产生了一个描述电容、温度和油位之间关系的模型,允许在油位测量中进行温度补偿。不同的温度循环允许量化主要的不确定源,并评估它们对水平测量的影响。