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Hybrid approach to tomographic reconstruction of bubbles in two-phase flows using Algebraic Reconstruction Technique (ART), Genetic Algorithm (GA), and Simplex Method
| dc.creator | Athirathnam, Rajesh | |
| dc.date.accessioned | 2012-06-07T22:54:48Z | |
| dc.date.available | 2012-06-07T22:54:48Z | |
| dc.date.created | 1999 | |
| dc.date.issued | 1999 | |
| dc.identifier.uri | https://hdl.handle.net/1969.1/ETD-TAMU-1999-THESIS-A844 | |
| dc.description | Due to the character of the original source materials and the nature of batch digitization, quality control issues may be present in this document. Please report any quality issues you encounter to digital@library.tamu.edu, referencing the URI of the item. | en |
| dc.description | Includes bibliographical references (leaves 42-43). | en |
| dc.description | Issued also on microfiche from Lange Micrographics. | en |
| dc.description.abstract | Main hurdles in the application of genetic algorithms to complex problems are two-fold. One is the high computational cost due to their slow convergence rate. The other is to reduce the number of input parameters of a conventional genetic algorithm as in the case of tomographic reconstruction of bubbles. In the present work great strides have been made to alleviate both the problems by using a Hybrid model of Algebraic Reconstruction Technique (ART), Simplex Method and Genetic Algorithm (GA). The work done is a significant step in reducing the input parameters of a conventional GA as GA of all previous work has focussed only on testing the reconstruction of a GA by supplying the input Phantom and comparing the reconstruction. In the present work a method was developed by which the input parameters like number of bubbles, approximate size and shape of the bubbles are specified from ART and accurate reconstruction is obtained by our Hybrid GA. Computer synthesized phantoms of circular and elliptical bubbles were tested to prove the reconstruction accuracy of the approach. The robustness of the approach was also proved by varying the seed number for the GA part and showing similar results. The best of ART, GA and Simplex method was taken to significantly reduce the computational time and improve the reconstruction accuracy of Tomography. | en |
| dc.format.medium | electronic | en |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | en_US | |
| dc.publisher | Texas A&M University | |
| dc.rights | This thesis was part of a retrospective digitization project authorized by the Texas A&M University Libraries in 2008. Copyright remains vested with the author(s). It is the user's responsibility to secure permission from the copyright holder(s) for re-use of the work beyond the provision of Fair Use. | en |
| dc.subject | mechanical engineering. | en |
| dc.subject | Major mechanical engineering. | en |
| dc.title | Hybrid approach to tomographic reconstruction of bubbles in two-phase flows using Algebraic Reconstruction Technique (ART), Genetic Algorithm (GA), and Simplex Method | en |
| dc.type | Thesis | en |
| thesis.degree.discipline | mechanical engineering | en |
| thesis.degree.name | M.S. | en |
| thesis.degree.level | Masters | en |
| dc.type.genre | thesis | en |
| dc.type.material | text | en |
| dc.format.digitalOrigin | reformatted digital | en |
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