Research Article | OPEN ACCESS
Research on Responsivity of Microbolometer in Food Temperature Prediction by System-level Collaborative Simulation Method
Chao Chen, Ma Jiafeng, Zhou Yun and Zheng Xing
State Key Laboratory of Electronic Thin Films and Integrated Devices, University of Electronic Science and Technology of China, Chengdu, Sichuan 610054, China
Advance Journal of Food Science and Technology 2015 9:711-716
Received: April ‎14, ‎2015 | Accepted: May ‎10, ‎2015 | Published: September 15, 2015
Abstract
In this study, an 320×240 are fabricated according to the design to verify the system-level co-simulation results. Due to the complexity of microbolometer in food temperature prediction heat-transfer structure, thermoelectric characteristics could’t be simulated in the same design platform with the design of its Read-Out Integrated Circuit (ROIC) which is monolithically integrated with the heat-transfer structure. The purpose of coordinated simulation is to find out a coordinated analysis method between microbolometer in food temperature prediction and its Read-Out Integrated Circuit (ROIC). Input and output characteristics of microbolometer in food temperature prediction was obtained. Responsivity of the heat-transfer model is analyzed based on the results of system-level collaborative simulation. Test values of responsivity matched the known design results of simulation well.
Keywords:
Collaborative simulation, food temperature prediction, heat-transfer models, microbolometer,
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Competing interests
The authors have no competing interests.
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This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
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