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用于钛还原反应器中镁含量检测的感应系统的实验验证

Experimental Validation of an Inductive System for Magnesium Level Detection in a Titanium Reduction Reactor.

作者信息

Krauter Nico, Eckert Sven, Gundrum Thomas, Stefani Frank, Wondrak Thomas, Khalilov Ruslan, Dimov Ivan, Frick Peter

机构信息

Helmholtz-Zentrum Dresden-Rossendorf, Bautzner Landstr. 400, D-01328 Dresden, Germany.

Institute of Continuous Media Mechanics, Russian Academy of Sciences, Ural Branch, 614013 Perm, Russia.

出版信息

Sensors (Basel). 2020 Nov 28;20(23):6798. doi: 10.3390/s20236798.

DOI:10.3390/s20236798
PMID:33260703
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7730803/
Abstract

In order to precisely determine the magnesium level in a titanium reduction retort by inductive methods, many interfering influences have to be considered. By using a look-up-table method, the magnesium level can be reliably identified by taking into account the interfering effects of the titanium sponge rings forming at the walls with their unknown geometrical and electrical parameters. This new method uses a combination of numerical simulations and measurements, whereby the simulation model is calibrated so that it represents the experimental setup as closely as possible. Previously, purely theoretical studies on this method were presented. Here, the practical feasibility of that method is demonstrated by performing measurements on a model experiment. The method is not limited to the production of titanium but can also be applied to other applications in metal production and processing.

摘要

为了通过感应方法精确测定钛还原罐中的镁含量,必须考虑许多干扰因素。通过使用查找表方法,考虑到在壁上形成的海绵钛环的未知几何和电学参数所产生的干扰效应,就可以可靠地识别镁含量。这种新方法结合了数值模拟和测量,对模拟模型进行校准,使其尽可能贴近实验装置。此前已发表过关于该方法的纯理论研究。在此,通过在模型实验上进行测量来证明该方法的实际可行性。该方法不仅限于钛的生产,还可应用于金属生产和加工中的其他应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7dd6/7730803/eaa7913a7bc0/sensors-20-06798-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7dd6/7730803/96b855ec5d39/sensors-20-06798-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7dd6/7730803/700f679acfff/sensors-20-06798-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7dd6/7730803/2c91e2276647/sensors-20-06798-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7dd6/7730803/ac9e3dd136dd/sensors-20-06798-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7dd6/7730803/c66b8abeccbb/sensors-20-06798-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7dd6/7730803/17ed62db25ab/sensors-20-06798-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7dd6/7730803/856e8103feb8/sensors-20-06798-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7dd6/7730803/e30d8a9f8318/sensors-20-06798-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7dd6/7730803/eaa7913a7bc0/sensors-20-06798-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7dd6/7730803/96b855ec5d39/sensors-20-06798-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7dd6/7730803/700f679acfff/sensors-20-06798-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7dd6/7730803/2c91e2276647/sensors-20-06798-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7dd6/7730803/ac9e3dd136dd/sensors-20-06798-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7dd6/7730803/c66b8abeccbb/sensors-20-06798-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7dd6/7730803/17ed62db25ab/sensors-20-06798-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7dd6/7730803/856e8103feb8/sensors-20-06798-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7dd6/7730803/e30d8a9f8318/sensors-20-06798-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7dd6/7730803/eaa7913a7bc0/sensors-20-06798-g009.jpg

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