Stresses in radiative annular fin under thermal loading and its inverse modeling using sine cosine algorithm (SCA)
This work presents a novel mathematical model for the analysis of thermal stresses in a radiative annular fin with temperature-dependent thermal conductivity and radiative parameter. An approximate analytical solution for thermal stresses is derived using a homotopy perturbation method (HPM)-based c...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2021
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| Online Access: | https://hdl.handle.net/10356/151375 |
| _version_ | 1824454947698114560 |
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| author | Mallick, Ashis Prasad, Dilip Kumar Behera, Pratyush Prasanna |
| author2 | School of Computer Science and Engineering |
| author_facet | School of Computer Science and Engineering Mallick, Ashis Prasad, Dilip Kumar Behera, Pratyush Prasanna |
| author_sort | Mallick, Ashis |
| collection | NTU |
| description | This work presents a novel mathematical model for the analysis of thermal stresses in a radiative annular fin with temperature-dependent thermal conductivity and radiative parameter. An approximate analytical solution for thermal stresses is derived using a homotopy perturbation method (HPM)-based closed-form solution of steady-state nonlinear heat transfer equation, coupled with classical elasticity theory. The effect of thermal parameters on the temperature field and the thermal stress fields are discussed. The various thermal parameters, such as a parameter describing the temperature-dependent thermal conductivity, coefficient of thermal expansion, coefficient of radiative parameter, and the variable radiative parameter, are inversely estimated for a given stress field. For inverse modeling, a population-based sine cosine algorithm (SCA) was employed to estimate the thermal parameters. The inverse modeling is verified by using the estimated thermal parameters in the closed-form solution of stress field. The reconstructed stress fields obtained from the inversely estimated parameters are then compared with the reference stress field. Results show a very good agreement between the reference stress field and the inversely estimated stress fields. |
| first_indexed | 2025-02-19T03:30:25Z |
| format | Journal Article |
| id | ntu-10356/151375 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2025-02-19T03:30:25Z |
| publishDate | 2021 |
| record_format | dspace |
| spelling | ntu-10356/1513752021-06-23T08:32:54Z Stresses in radiative annular fin under thermal loading and its inverse modeling using sine cosine algorithm (SCA) Mallick, Ashis Prasad, Dilip Kumar Behera, Pratyush Prasanna School of Computer Science and Engineering Engineering::Mechanical engineering Inverse Modeling Radiative Fin This work presents a novel mathematical model for the analysis of thermal stresses in a radiative annular fin with temperature-dependent thermal conductivity and radiative parameter. An approximate analytical solution for thermal stresses is derived using a homotopy perturbation method (HPM)-based closed-form solution of steady-state nonlinear heat transfer equation, coupled with classical elasticity theory. The effect of thermal parameters on the temperature field and the thermal stress fields are discussed. The various thermal parameters, such as a parameter describing the temperature-dependent thermal conductivity, coefficient of thermal expansion, coefficient of radiative parameter, and the variable radiative parameter, are inversely estimated for a given stress field. For inverse modeling, a population-based sine cosine algorithm (SCA) was employed to estimate the thermal parameters. The inverse modeling is verified by using the estimated thermal parameters in the closed-form solution of stress field. The reconstructed stress fields obtained from the inversely estimated parameters are then compared with the reference stress field. Results show a very good agreement between the reference stress field and the inversely estimated stress fields. 2021-06-23T08:32:54Z 2021-06-23T08:32:54Z 2019 Journal Article Mallick, A., Prasad, D. K. & Behera, P. P. (2019). Stresses in radiative annular fin under thermal loading and its inverse modeling using sine cosine algorithm (SCA). Journal of Thermal Stresses, 42(4), 401-415. https://dx.doi.org/10.1080/01495739.2018.1480326 0149-5739 https://hdl.handle.net/10356/151375 10.1080/01495739.2018.1480326 2-s2.0-85054099995 4 42 401 415 en Journal of Thermal Stresses © 2018 Taylor & Francis Group, LLC. All rights reserved. |
| spellingShingle | Engineering::Mechanical engineering Inverse Modeling Radiative Fin Mallick, Ashis Prasad, Dilip Kumar Behera, Pratyush Prasanna Stresses in radiative annular fin under thermal loading and its inverse modeling using sine cosine algorithm (SCA) |
| title | Stresses in radiative annular fin under thermal loading and its inverse modeling using sine cosine algorithm (SCA) |
| title_full | Stresses in radiative annular fin under thermal loading and its inverse modeling using sine cosine algorithm (SCA) |
| title_fullStr | Stresses in radiative annular fin under thermal loading and its inverse modeling using sine cosine algorithm (SCA) |
| title_full_unstemmed | Stresses in radiative annular fin under thermal loading and its inverse modeling using sine cosine algorithm (SCA) |
| title_short | Stresses in radiative annular fin under thermal loading and its inverse modeling using sine cosine algorithm (SCA) |
| title_sort | stresses in radiative annular fin under thermal loading and its inverse modeling using sine cosine algorithm sca |
| topic | Engineering::Mechanical engineering Inverse Modeling Radiative Fin |
| url | https://hdl.handle.net/10356/151375 |
| work_keys_str_mv | AT mallickashis stressesinradiativeannularfinunderthermalloadinganditsinversemodelingusingsinecosinealgorithmsca AT prasaddilipkumar stressesinradiativeannularfinunderthermalloadinganditsinversemodelingusingsinecosinealgorithmsca AT beherapratyushprasanna stressesinradiativeannularfinunderthermalloadinganditsinversemodelingusingsinecosinealgorithmsca |