Design of automatic phase-controlled converter based on temperature for microwave drying system

Author(s):  
Suratsavadee K. Korkua ◽  
Srawouth Chandhaket ◽  
Kamon Thinsurat ◽  
Komon Pornbandit
2012 ◽  
Vol 490-495 ◽  
pp. 1728-1732
Author(s):  
Lin Chen ◽  
Xue Song Tai

In order to improve the quality of microwave drying, we propose the microwave drying temperature control system which consists of microcontroller (AT89S52), temperature sensors (DS18b20) and other electronic components. The system can monitor the real-time temperature of the drying chamber and can control the drying process automatically , let the temperature cannot out of the permitted range(control the extent permitted automatically), these processes ensure the quality of the dried crop. The results shows that crops using the system are better than those that not used(using). These tests proved (prove) that the microwave temperature control system can achieve its designed function.


Author(s):  
Saysunee Jumrat ◽  
Teerasak Punvichai ◽  
Seppo Karrila ◽  
Mudtorlep Nisoa ◽  
Yutthapong Pianroj

2019 ◽  
Vol 148 ◽  
pp. 68-74 ◽  
Author(s):  
Hanki Eom ◽  
Young Hee Jang ◽  
Dong Yoon Lee ◽  
Sung Su Kim ◽  
Sang Moon Lee ◽  
...  

Sensors ◽  
2021 ◽  
Vol 21 (19) ◽  
pp. 6515
Author(s):  
Yuchong Zhang ◽  
Adel Omrani ◽  
Rahul Yadav ◽  
Morten Fjeld

Industrial process tomography (IPT) based process control is an advisable approach in industrial heating processes for improving system efficiency and quality. When using it, appropriate dataflow pipelines and visualizations are key for domain users to implement precise data acquisition and analysis. In this article, we propose a complete data processing and visualizing workflow regarding a specific case—microwave tomography (MWT) controlled industrial microwave drying system. Furthermore, we present the up-to-date augmented reality (AR) technique to support the corresponding data visualization and on-site analysis. As a pioneering study of using AR to benefit IPT systems, the proposed AR module provides straightforward and comprehensible visualizations pertaining to the process data to the related users. Inside the dataflow of the case, a time reversal imaging algorithm, a post-imaging segmentation, and a volumetric visualization module are included. For the time reversal algorithm, we exhaustively introduce each step for MWT image reconstruction and then present the simulated results. For the post-imaging segmentation, an automatic tomographic segmentation algorithm is utilized to reveal the significant information contained in the reconstructed images. For volumetric visualization, the 3D generated information is displayed. Finally, the proposed AR system is integrated with the on-going process data, including reconstructed, segmented, and volumetric images, which are used for facilitating interactive on-site data analysis for domain users. The central part of the AR system is implemented by a mobile app that is currently supported on iOS/Android platforms.


10.14311/866 ◽  
2006 ◽  
Vol 46 (5) ◽  
Author(s):  
M. Pourová ◽  
J. Vrba

The principal aim of this work was to design and optimize the applicator for microwave drying. Our applicator is derived from the Fabry-Perrot resonator, which is an open type resonator.The whole system works at frequency 2.45 GHz and the magnetron that we used delivers power 800 W. This machine is intended for use in drying in factory production of fabrics. After identifying of the basic arrangement of the microwave drying machine, the next step in the design was the use of the electromagnetic field simulator. We determined the position of the magnetron and found the distribution of the electric field strength in drying textiles in this way. In parallel, we analyzed the drying system with analytical calculations. We created a diagram of the EM waves inside this structure and reached the resulting expression for use in calculating the strenght of the electric field in the plane of the drying textile. This quantity depends on the electrical characteristics of wet textiles, e.g. the permittivity and the loss factor. Measurements of these dielectric properties for the coburg is complicated, and this method makes it possible to solve our problem with dielectric parameters. We have SAR distribution results (by simulation and also by measurement), results of measurements of the moisture content in the dried textile with respect to time. These results are important for subsequent optimization of the efficiency of the whole machine. 


2012 ◽  
Vol 2012 (2) ◽  
pp. 275-285
Author(s):  
David W. Stewart ◽  
Chad Hall ◽  
Brent Zerkle

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