Hybrid optimization algorithm for enhanced performance and security of counter-flow shell and tube heat exchangers Article Swipe
Ajmeera Kiran
,
Ch. Nagaraju
,
J. Chinna Babu
,
B. Venkatesh
,
Adarsh Kumar
,
Surbhi Bhatia
,
Abdullah Albuali
,
Shakila Basheer
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1371/journal.pone.0298731
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1371/journal.pone.0298731
A shell and tube heat exchanger (STHE) for heat recovery applications was studied to discover the intricacies of its optimization. To optimize performance, a hybrid optimization methodology was developed by combining the Neural Fitting Tool (NFTool), Particle Swarm Optimization (PSO), and Grey Relational Analysis (GRE). STHE heat exchangers were analyzed systematically using the Taguchi method to analyze the critical elements related to a particular response. To clarify the complex relationship between the heat exchanger efficiency and operational parameters, grey relational grades (GRGs) are first computed. A forecast of the grey relation coefficients was then conducted using NFTool to provide more insight into the complex dynamics. An optimized parameter with a grey coefficient was created after applying PSO analysis, resulting in a higher grey coefficient and improved performance of the heat exchanger. A major and far-reaching application of this study was based on heat recovery. A detailed comparison was conducted between the estimated values and the experimental results as a result of the hybrid optimization algorithm. In the current study, the results demonstrate that the proposed counter-flow shell and tube strategy is effective for optimizing performance.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1371/journal.pone.0298731
- https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0298731&type=printable
- OA Status
- gold
- Cited By
- 3
- References
- 42
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4393142515
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- OpenAlex ID
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https://openalex.org/W4393142515Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1371/journal.pone.0298731Digital Object Identifier
- Title
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Hybrid optimization algorithm for enhanced performance and security of counter-flow shell and tube heat exchangersWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2024Year of publication
- Publication date
-
2024-03-25Full publication date if available
- Authors
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Ajmeera Kiran, Ch. Nagaraju, J. Chinna Babu, B. Venkatesh, Adarsh Kumar, Surbhi Bhatia, Abdullah Albuali, Shakila BasheerList of authors in order
- Landing page
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https://doi.org/10.1371/journal.pone.0298731Publisher landing page
- PDF URL
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https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0298731&type=printableDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0298731&type=printableDirect OA link when available
- Concepts
-
Grey relational analysis, Particle swarm optimization, Heat exchanger, Shell and tube heat exchanger, Taguchi methods, Computer science, Algorithm, Materials science, Mathematical optimization, Mechanical engineering, Mathematics, Engineering, Machine learning, Mathematical economicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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3Total citation count in OpenAlex
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2025: 3Per-year citation counts (last 5 years)
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- Related works (count)
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10Other works algorithmically related by OpenAlex
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