Modelling and simulation of the operation of a calorimetric sensor for medical application

Rivera, Pedro Jesús Rodríguez de; Socorro, F.; Rivera, M. Rodríguez de; Callicó, Gustavo M.

doi:10.1007/s10973-020-09554-6

Cited by 1 publication

(1 citation statement)

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“…With continuous efforts made by predecessors, impressive progress has been realized in the field of the calorimetric microflow sensor [19]. However, there are still three shortcomings of the microchannel calorimetric microflow sensor studied here [20]: (1) the measure range is not wide enough due to the tendency of the calorimetric microflow sensor to be prone to saturation at high flow rates [21,22];…”

Section: Introductionmentioning

confidence: 99%

Investigation on the Effective Measures for Improving the Performance of Calorimetric Microflow Sensor

Qi,

Shao,

et al. 2023

Sensors

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The performance of the calorimetric microflow sensor is closely related to the thermal sensing part design, including structure parameter, heater temperature, and operation environment. In this paper, several measures to enhance the performance of the calorimetric microflow sensor were proposed and further verified by numerical simulations. The results demonstrate that it is more favorable to reduce the negative impact of flow separation as the space between detectors and heater is set to be 1.6 μm so as to improve the accuracy of the sensor. With an appropriate gap, the front arranged obstacle of the upstream detector can effectively widen the measure range of the sensor, benefiting from the decrease in upstream viscous dissipation. Compared to a cantilever structure, the resonances can be effectively suppressed when the heater and detectors are designed as bridge structures. In particular, the maximum amplitude of the bridge structure is only 0.022 μm at 70 sccm, which is 53% lower than that of the cantilever structure. The optimized sensor widens the range by 14.3% and significantly increases the sensitivity at high flow rates. Moreover, the feasibility of the improved measures is also illustrated via the consistency of the trend between the simulation results and experimental ones.

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