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Bionic Optimization Design of Electronic Nose Chamber for Oil and Gas Detection

摘要In this paper,a miniaturized bionic electronic nose system is developed in order to solve the problems arising in oil and gas detection for large size and inflexible operation in downhole.The bionic electronic nose chamber is designed by mimicking human nasal turbinate structure,V-groove structure on shark skin surface and flow field distribution around skin surface.The sensitivity of the bionic electronic nose system is investigated through experimentation.Radial Basis Function (RBF) and Support Vector Machines (SVM) of 10-fold cross validation are used to compare the recognition performance of the bionic electronic nose system and common one.The results show that the sensitivity of the bionic electronic nose system with bionic composite chamber (chamber B) is significantly improved compared with that with common chamber (chamber A).The recognition rate of chamber B is 4.27% higher than that of chamber A for the RBF algorithm,while for the SVM algorithm,the recognition rate of chamber B is 5.69% higher than that of chamber A.The three-dimensional simulation model of the chamber is built and verified by Computational Fluid Dynamics (CFD) simulation analysis.The number of vortices in chamber B is fewer than that in chamber A.The airflow velocity near the sensors inside chamber B is slower than that inside chamber A.The vortex intensity near the sensors in chamber B is 2.27 times as much as that in chamber A,which facilitates gas molecules to fully contact with the sensor surface and increases the intensity of sensor signal,and the contact strength and time between odorant molecules and sensor surface.Based on the theoretical investigation and test validation,it is believed that the proposed bionic electronic nose system with bionic composite chamber has potential for oil and gas detection in downhole.

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作者单位 Key Lab of Advanced Technologies of Materials, Ministry of Education, School of Materials Science and Engineering, Southwest Jiaotong University, Chengdu 610031, China;Key Laboratory of Bionic Engineering, Ministry of Education, Jilin University, Changchun 130022, China;National-Local Joint Engineering Laboratory of In-situ Conversion, Drilling and Exploitation Technology for Oil Shale, Jilin University, Changchun 130021, China [1] National-Local Joint Engineering Laboratory of In-situ Conversion, Drilling and Exploitation Technology for Oil Shale, Jilin University, Changchun 130021, China;College of Construction Engineering, Jilin University, Changchun 130022, China [2] Key Lab of Advanced Technologies of Materials, Ministry of Education, School of Materials Science and Engineering, Southwest Jiaotong University, Chengdu 610031, China;Key Laboratory of Bionic Engineering, Ministry of Education, Jilin University, Changchun 130022, China [3] Clinical Medicine, Bethune First Hospital of Jilin University, Changchun 130021,China [4] Key Laboratory of Bionic Engineering, Ministry of Education, Jilin University, Changchun 130022, China;College of Mechanical Science and Engineering, Jilin University, Changchun 130022, China [5] School of Computing and Technology, the University of Gloucestershire, The Park, Cheltenham GL50 2RH, UK [6] Key Lab of Advanced Technologies of Materials, Ministry of Education, School of Materials Science and Engineering, Southwest Jiaotong University, Chengdu 610031, China;Key Laboratory of Bionic Engineering, Ministry of Education, Jilin University, Changchun 130022, China;Air Combat Service Academy, Air Force Aviation University, Changchun 130021, China [7]
DOI 10.1007/s42235-018-0044-6
发布时间 2018-08-24
基金项目
the Key Scientific and Technological Research and Development Projects in Jilin Province(Grant 20180201038GX); Jilin Province Development and Reform Commission(Grant .2016C029 and 2017C051-3); the Education Department of Jilin Province(Grant .[2015] 490,JJKH20170791KJ,JJKH20170812KJ and 20150520075JH); the China Postdoctoral Science Foundation(Grant 2016M601383)
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仿生工程学报(英文版)

仿生工程学报(英文版)

2018年15卷3期

533-544页

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