Thermal and Economical Optimization of a Shell and Tube Evaporator Using Hybrid Backtracking Search-Sine-Cosine Algorithm.
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| Title: | Thermal and Economical Optimization of a Shell and Tube Evaporator Using Hybrid Backtracking Search-Sine-Cosine Algorithm. |
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| Authors: | Turgut, Oguz Emrah1,2 (AUTHOR) oeturgut@hotmail.com |
| Source: | Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ). May2017, Vol. 42 Issue 5, p2105-2123. 19p. 2 Diagrams, 8 Charts, 9 Graphs. |
| Subjects: | Backtrack programming, Metaheuristic algorithms, Shell & tube heat exchangers |
| Abstract: | This paper proposes a hybrid optimization algorithm based on the combination of the merits of the backtracking search (BSA) and sine-cosine algorithm (SCA) to achieve the optimal design of a shell and tube evaporator. To the author's best knowledge, this is the first application of the metaheuristic algorithms over shell and tube evaporator design problems. In order to test the accuracy of the proposed hybrid algorithm, 10 well-known optimization test functions have been solved. Numerical results obtained from the hybrid BSA-SCA have been compared with the literature optimizers including differential search, big bang-big crunch optimization, quantum-behaved particle swarm optimization, bat algorithm, intelligent tuned harmony search algorithm, and backtracking search algorithm. Comparison results reveal that solutions obtained from the BSA-SCA are better than those of the results acquired by the aforementioned optimizers with respect to statistical analysis. Proposed optimization procedure is then utilized to obtain optimum values of the two heat exchanger design objectives including total cost and overall heat transfer coefficient. Six decision variables such as tube outer diameter, shell diameter, baffle spacing, tube length, number of tube passes, and tube bundle configuration are selected to be iteratively optimized. It is found that BSA-SCA provides better results than the compared literature optimizers for both objective functions. In addition, a sensitivity analysis is performed for the design parameters at the optimal point. Results show that variation of the design parameters at the optimum point has considerable effect on the objective function rates. [ABSTRACT FROM AUTHOR] |
| Copyright of Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ) is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 122986983 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Thermal and Economical Optimization of a Shell and Tube Evaporator Using Hybrid Backtracking Search-Sine-Cosine Algorithm. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Turgut%2C+Oguz+Emrah%22">Turgut, Oguz Emrah</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> oeturgut@hotmail.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Arabian+Journal+for+Science+%26+Engineering+%28Springer+Science+%26+Business+Media+B%2EV%2E+%29%22">Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. )</searchLink>. May2017, Vol. 42 Issue 5, p2105-2123. 19p. 2 Diagrams, 8 Charts, 9 Graphs. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Backtrack+programming%22">Backtrack programming</searchLink><br /><searchLink fieldCode="DE" term="%22Metaheuristic+algorithms%22">Metaheuristic algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Shell+%26+tube+heat+exchangers%22">Shell & tube heat exchangers</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This paper proposes a hybrid optimization algorithm based on the combination of the merits of the backtracking search (BSA) and sine-cosine algorithm (SCA) to achieve the optimal design of a shell and tube evaporator. To the author's best knowledge, this is the first application of the metaheuristic algorithms over shell and tube evaporator design problems. In order to test the accuracy of the proposed hybrid algorithm, 10 well-known optimization test functions have been solved. Numerical results obtained from the hybrid BSA-SCA have been compared with the literature optimizers including differential search, big bang-big crunch optimization, quantum-behaved particle swarm optimization, bat algorithm, intelligent tuned harmony search algorithm, and backtracking search algorithm. Comparison results reveal that solutions obtained from the BSA-SCA are better than those of the results acquired by the aforementioned optimizers with respect to statistical analysis. Proposed optimization procedure is then utilized to obtain optimum values of the two heat exchanger design objectives including total cost and overall heat transfer coefficient. Six decision variables such as tube outer diameter, shell diameter, baffle spacing, tube length, number of tube passes, and tube bundle configuration are selected to be iteratively optimized. It is found that BSA-SCA provides better results than the compared literature optimizers for both objective functions. In addition, a sensitivity analysis is performed for the design parameters at the optimal point. Results show that variation of the design parameters at the optimum point has considerable effect on the objective function rates. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ) is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s13369-017-2458-6 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 19 StartPage: 2105 Subjects: – SubjectFull: Backtrack programming Type: general – SubjectFull: Metaheuristic algorithms Type: general – SubjectFull: Shell & tube heat exchangers Type: general Titles: – TitleFull: Thermal and Economical Optimization of a Shell and Tube Evaporator Using Hybrid Backtracking Search-Sine-Cosine Algorithm. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Turgut, Oguz Emrah IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2017 Type: published Y: 2017 Identifiers: – Type: issn-print Value: 2193567X Numbering: – Type: volume Value: 42 – Type: issue Value: 5 Titles: – TitleFull: Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ) Type: main |
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