کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
296157 511712 2015 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Multi-phase flow monitoring with electrical impedance tomography using level set based method
ترجمه فارسی عنوان
نظارت بر جریان چند فاز با استفاده از توموگرافی امپدانس الکتریکی با استفاده از روش مبتنی بر سطح تعیین می شود
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی مهندسی انرژی و فناوری های برق
چکیده انگلیسی


• LSM has been used for shape reconstruction to monitor multi-phase flow using EIT.
• Multi-phase level set model for conductivity is represented by two level set functions.
• LSM handles topological merging and breaking naturally during evolution process.
• To reduce the computational time, a narrowband technique was applied.
• Use of narrowband and optimization approach results in efficient and fast method.

In this paper, a level set-based reconstruction scheme is applied to multi-phase flow monitoring using electrical impedance tomography (EIT). The proposed scheme involves applying a narrowband level set method to solve the inverse problem of finding the interface between the regions having different conductivity values. The multi-phase level set model for the conductivity distribution inside the domain is represented by two level set functions. The key principle of the level set-based method is to implicitly represent the shape of interface as the zero level set of higher dimensional function and then solve a set of partial differential equations. The level set-based scheme handles topological merging and breaking naturally during the evolution process. It also offers several advantages compared to traditional pixel-based approach. Level set-based method for multi-phase flow is tested with numerical and experimental data. It is found that level set-based method has better reconstruction performance when compared to pixel-based method.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Nuclear Engineering and Design - Volume 289, August 2015, Pages 108–116
نویسندگان
, , , ,