fully passive sensor devices with rfid - project: smartpack · faculty of mechanical engineering...

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www.tu-ilmenau.de Faculty of Mechanical Engineering Institute of Micro- and Nanotechnologies Department of Micromechanical Systems 98693 Ilmenau, Germany Phone +49 3677 69-2487 [email protected] [email protected] www.tu-ilmenau.de/mms Authors: Univ.-Prof. Dr. Ing. M. Hoffmann, M. Schneider (TU Ilmenau) G. Menges (NXP Hamburg) M. Werner (Alcan Packaging Singen GmbH) Fully passive sensor devices with RFID - Project: SmartPack New integration technology for RFID opens the path for new applications such as integrated sensors which deliver information on the status of packaged goods. As one of the most critical parameters, the temperature-over-time integral TTI) has been identified. For supervision of cold-chain-management, a diffusion-based concept has been developed, that integrates measurement values by collecting the permeating water from the good into a storage layer (fig. 1). The change in resistance of the storage layer is directly related to the TTI information. For high-temperature applications, such as sterilisation processes, a capillary force sensor, shown in fig. 2, has been investigated. After reaching the required temperature a molten polymer diffuses into a channel. The length of the path that the molten polymer follows depends on temperature (resulting in different viscosity) and time at increased temperature. Another approach is to monitor the change of the dielectric polymer (e.g. epoxy) due to polymerisation as shown in fig. 3. For low-cost applications close to the customer the realisation of sensor concepts without any (electrical) energy storage or energy harvesting is essential and a first step in this direction has been opened. funded by: Figure 1: Sensing resistor with memory and barrier layer based on polymer Figure 2: Meandering structure with electronic contacts TTI via capillary flow detection change of capacity for epoxide 3,8 4 4,2 4,4 4,6 5 0 50 100 150 200 time Capacity T=15°C T=25°C min pF Figure 3: Temperature depending change of capacity

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www.tu-ilmenau.de

Faculty of Mechanical Engineering

Institute of Micro- and Nanotechnologies

Department of Micromechanical Systems

98693 Ilmenau, Germany

Phone +49 3677 69-2487

[email protected]

[email protected]

www.tu-ilmenau.de/mms

Authors:

Univ.-Prof. Dr. Ing. M. Hoffmann,

M. Schneider (TU Ilmenau)

G. Menges (NXP Hamburg)

M. Werner (Alcan Packaging Singen GmbH)

Fully passive sensor devices with RFID - Project: SmartPack

New integration technology for RFID opens the path for new applications such as integrated sensors which deliver information on the status of packaged goods. As one of the most critical parameters, the temperature-over-time integral TTI) has been identified.

For supervision of cold-chain-management, a diffusion-based concept has been developed, that integrates measurement values by collecting the permeating water from the good into a storage layer (fig. 1). The change in resistance of the storage layer is directly related to the TTI information.

For high-temperature applications, such as sterilisation processes, a capillary force sensor, shown in fig. 2, has been investigated. After reaching the required temperature a molten polymer diffuses into a channel. The length of the path that the molten polymer follows depends on temperature (resulting in different viscosity) and time at increased temperature. Another approach is to monitor the change of the dielectric polymer (e.g. epoxy) due to polymerisation as shown in fig. 3.

For low-cost applications close to the customer the realisation of sensor concepts without any (electrical) energy storage or energy harvesting is essential and a first step in this direction has been opened.

funded by:

Figure 1: Sensing resistor with memory and barrier layer based on polymer

Figure 2: Meandering structure with electronic contacts TTI via capillary flow detection

change of capacity for epoxide

3,8

4

4,2

4,4

4,6

4,8

5

0 50 100 150 200time

Ca

pa

city

T=15°C

T=25°C

min

pF

Figure 3: Temperature depending change of capacity