Quantitative Reconstruction of the Exterior Boundary Shape of Metallic Inclusions Using Electrical Capacitance Tomography

Electrical capacitance tomography (ECT) is a non-intrusive technology to image the permittivity distribution from capacitance measurements on periphery. Recent studies demonstrated that ECT can also be used to image metallic samples. A shape-based approach to reconstruct metallic inclusions quantitatively by ECT is presented, which incorporates information on the materials systematically. The formula to calculate the Jacobian is deduced with concise derivations. To deal with the problem that the traditional Tikhonov regularization method does not possess the immunity to generate deep concavities or the ability to escape from the situation, a penalty on the curvature is introduced. The penalty pushes the partial curves with deep concavities outward to gain more sensitivity. The performance of reconstructing metallic inclusions from numerical and practical measurements demonstrates the advantage of the presented algorithm in preventing deep concavities and achieving an overall approximation of the inclusions.

[1]  William Rundell,et al.  The determination of a discontinuity in a conductivity from a single boundary measurement , 1998 .

[2]  Lihui Peng,et al.  Image reconstruction algorithms for electrical capacitance tomography , 2003 .

[3]  Weifu Fang,et al.  A nonlinear image reconstruction algorithm for electrical capacitance tomography , 2004 .

[4]  Manuchehr Soleimani,et al.  Nonlinear image reconstruction for electrical capacitance tomography using experimental data , 2005 .

[5]  Eric T. Chung,et al.  Electrical impedance tomography using level set representation and total variational regularization , 2005 .

[6]  Sheng Liu,et al.  Preliminary study on ECT imaging of flames in porous media , 2008 .

[7]  Feng Dong,et al.  Electrical resistance tomography for locating inclusions using analytical boundary element integrals and their partial derivatives , 2010 .

[8]  Lijun Xu,et al.  Electrical capacitance tomography with a non-circular sensor using the dbar method , 2009 .

[9]  Lijun Xu,et al.  2D electrical capacitance tomography with sensors of non-circular cross sections using the factorization method , 2011 .

[10]  Wuqiang Yang,et al.  Scale-up of an electrical capacitance tomography sensor for imaging pharmaceutical fluidized beds and validation by computational fluid dynamics , 2011 .

[11]  Feng Dong,et al.  Reconstructing the geometric configuration of three dimensional interface using electrical capacitance tomography , 2013 .

[12]  Feng Dong,et al.  Reconstruction of the three-dimensional inclusion shapes using electrical capacitance tomography , 2014 .

[13]  Ziqiang Cui,et al.  Liquid Film Thickness Estimation using Electrical Capacitance Tomography , 2014 .

[14]  Manuchehr Soleimani,et al.  A Limited Region Electrical Capacitance Tomography for Detection of Deposits in Pipelines , 2015, IEEE Sensors Journal.

[15]  Vivek V. Ranade,et al.  Void fraction measurement using electrical capacitance tomography and high speed photography , 2015 .

[16]  Manuchehr Soleimani,et al.  Imaging floating metals and dielectric objects using electrical capacitance tomography , 2015 .

[17]  Jiamin Ye,et al.  Evaluation of Excitation Strategies for 3D ECT in Gas-Solids Flow Measurement , 2016, IEEE Sensors Journal.

[18]  Manuchehr Soleimani,et al.  Imaging metallic samples using electrical capacitance tomography: forward modelling and reconstruction algorithms , 2016 .

[19]  M. Soleimani,et al.  Detection of the shape of liquid metals using electrical capacitance tomography , 2016 .