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In this study, we have performed the monitoring of copper leaching process using electrical capacitance volume tomography (ECVT). The ECVT has been used to measure electrical signals generated from the copper leaching process and reconstruct volumetric image of the signals in real time. This method is based on the fact that permittivity changes with the changes of ions concentration caused by leaching reaction. From the 3D image, we were able to analyze the heterogeneity of leaching reaction. There are two important features of leaching measurement, the online capability of the method and the ability to describe the leaching process heterogeneity. The current methods of leaching process usually have only one of the two important features. ECVT with high speed capability can provide both features. The experiment was carried out for 3 hours at room temperature without stirring, in which, copper foil and 2M H2SO4 were used as leaching object and leaching agent. The ECVT reconstructed image shows the heterogeneity permittivity distributions which shows the heterogeneous nature of leaching process.

Various defects on welded metal can lead to failure of material, so that it needs some routine examination to maintain the material quality. The development of Magnetic Induction Tomography (MIT) in recent years made MIT a potential method for Non Destructive Test (NDT) to be applied in industries. We perform an MIT inspection technique to detect flaw using 2-coils MIT planar sensor that consist of transmitter and receiver coils which is able to detect flaw based on different electrical conductivity and measured as phase shift. This study involves experiment method with measurement of welded steel in two areas, there are normal and defective welded area which amounts to 72 measurement points that conducted with superposition principle. Then simulation of 2-coils planar sensor using Finite Element Method (FEM) software to obtain magnetic field sensitivity using parameter as in the experiment. Result from this measurement showed that phase value in normal welded area is higher than defective welded area, then those data is processed further on reconstruction step by using specific algorithm to obtain reconstructed image. This image able to show the presence of flaw in welded area which is indicated by red spot, and it has a relatively good correlation when compared with radiographic testing film.