Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/32535
Title: Introducing a Thermal-Based Method for Measuring Dynamic Thin Film Thickness in Real-Time as a Tool for Sensing Applications
Authors: OUDEBROUCKX, Gilles 
VANDENRYT, Thijs 
NIVELLE, Philippe 
BORMANS, Seppe 
WAGNER, Patrick 
THOELEN, Ronald 
Advisors: Thoelen, Ronald
Wagner, Patrick
Issue Date: 2020
Publisher: 
Source: IEEE transactions on instrumentation and measurement, 70, (Art N° 9503710).
Abstract: In many sensing applications, ranging from processes monitoring to bioassays, interactions occur between a thin film and a liquid medium. For such applications, it is generally crucial to monitor physical changes in the film over time. Consequently, the demand for sensitive, yet robust readout methods that can be used to do so is high. In this article, we present a new, thermal-based readout principle that can be applied to monitor physical changes in thin samples over time. This new Transient Thermal Offset (TTO) method is derived from the widely used Transient Plane Source (TPS) method, but intentionally deviates from the condition to not apply thermal pulses that probe deeper than the boundaries of the thin sample. By doing so, it is possible to use the properties of the sample on top of the film as a reference with the novel data processing method. The sensing principle was first demonstrated via numerical simulations in COMSOL Multiphysics. software. Then, for experimental validation, we performed TTO measurements to monitor the removal process of a thin film over time. The results show that the TTO method can be used reliably in practice for monitoring physical changes in thin films. Since also the properties of the surrounding material are measured, it is possible to distinguish between changes in the thin film and changes in the direct environment.
Keywords: Planar sensor;thermal readout;thin film;transient plane source (TPS) method;transient thermal offset (TTO) method
Document URI: http://hdl.handle.net/1942/32535
ISSN: 0018-9456
e-ISSN: 1557-9662
DOI: 10.1109/TIM.2020.3033444
ISI #: WOS:000604879000032
Category: A1
Type: Journal Contribution
Validations: ecoom 2022
Appears in Collections:Research publications

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