Optimization of Inertia Friction Welding of Dissimilar Polymeric PA6-PVC Hollow Cylinders by Genetic Algorithm
Three-dimensional elasto-plastic thermal-mechanical transient axisymmetric explicit finite element models were used to simulate the friction joining of hollow cylinder dissimilar polymeric materials PA6-PVC. The FE model takes into account the mechanical and thermal properties of PA6 and PVC as an i...
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| Format: | Article |
| Language: | English |
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Port Said University
2021-03-01
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| Series: | Port Said Engineering Research Journal |
| Subjects: | |
| Online Access: | https://pserj.journals.ekb.eg/article_115840_3fe135cd268a56eea0fc00d4c8f42991.pdf |
| _version_ | 1797653459329089536 |
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| author | Samar Elsanabary Hanan Kouta |
| author_facet | Samar Elsanabary Hanan Kouta |
| author_sort | Samar Elsanabary |
| collection | DOAJ |
| description | Three-dimensional elasto-plastic thermal-mechanical transient axisymmetric explicit finite element models were used to simulate the friction joining of hollow cylinder dissimilar polymeric materials PA6-PVC. The FE model takes into account the mechanical and thermal properties of PA6 and PVC as an input date. Also, the simulation analysis considered three independent variables namely, rotational speed of (500, 775, and 1200 rpm), axial displacement of (0.045, 0.09, and 0.18 mm), and total welding time of (4, 6, and 8 seconds). With respect to the FE model, the regression model is built. The minimum and maximum error percentage between FE and predicted results by regression model of welding temperature are 0.08% and 17.26% respectively. On the other hand, the error percentages of Von Mises residual stress start from 0.34% to 26.15%. The regression model is used to formulate the GA's fitness function for end welding temperature and Von Mises residual stresses. This paper showed that the GA technique is capable of estimating the optimum welding conditions that yield the value of the minimum end welding temperature and the Von Mises residual stresses relative to the results of FE and regression. |
| first_indexed | 2024-03-11T16:44:52Z |
| format | Article |
| id | doaj.art-fefbdcb5ef4445e6b373508f473dd2d7 |
| institution | Directory Open Access Journal |
| issn | 1110-6603 2536-9377 |
| language | English |
| last_indexed | 2024-03-11T16:44:52Z |
| publishDate | 2021-03-01 |
| publisher | Port Said University |
| record_format | Article |
| series | Port Said Engineering Research Journal |
| spelling | doaj.art-fefbdcb5ef4445e6b373508f473dd2d72023-10-23T05:58:14ZengPort Said UniversityPort Said Engineering Research Journal1110-66032536-93772021-03-012519110010.21608/pserj.2020.33683.1048115840Optimization of Inertia Friction Welding of Dissimilar Polymeric PA6-PVC Hollow Cylinders by Genetic AlgorithmSamar Elsanabary0Hanan Kouta1Department of production engineering and mechanical design, Faculty of Engineering, Port Said University, Port Said, EgyptDepartment of production engineering and mechanical design, Faculty of Engineering, Port Said University, Port Said, EgyptThree-dimensional elasto-plastic thermal-mechanical transient axisymmetric explicit finite element models were used to simulate the friction joining of hollow cylinder dissimilar polymeric materials PA6-PVC. The FE model takes into account the mechanical and thermal properties of PA6 and PVC as an input date. Also, the simulation analysis considered three independent variables namely, rotational speed of (500, 775, and 1200 rpm), axial displacement of (0.045, 0.09, and 0.18 mm), and total welding time of (4, 6, and 8 seconds). With respect to the FE model, the regression model is built. The minimum and maximum error percentage between FE and predicted results by regression model of welding temperature are 0.08% and 17.26% respectively. On the other hand, the error percentages of Von Mises residual stress start from 0.34% to 26.15%. The regression model is used to formulate the GA's fitness function for end welding temperature and Von Mises residual stresses. This paper showed that the GA technique is capable of estimating the optimum welding conditions that yield the value of the minimum end welding temperature and the Von Mises residual stresses relative to the results of FE and regression.https://pserj.journals.ekb.eg/article_115840_3fe135cd268a56eea0fc00d4c8f42991.pdfinertia friction weldingthermoplasticsnumerical simulationregression modelgenetic algorithm |
| spellingShingle | Samar Elsanabary Hanan Kouta Optimization of Inertia Friction Welding of Dissimilar Polymeric PA6-PVC Hollow Cylinders by Genetic Algorithm Port Said Engineering Research Journal inertia friction welding thermoplastics numerical simulation regression model genetic algorithm |
| title | Optimization of Inertia Friction Welding of Dissimilar Polymeric PA6-PVC Hollow Cylinders by Genetic Algorithm |
| title_full | Optimization of Inertia Friction Welding of Dissimilar Polymeric PA6-PVC Hollow Cylinders by Genetic Algorithm |
| title_fullStr | Optimization of Inertia Friction Welding of Dissimilar Polymeric PA6-PVC Hollow Cylinders by Genetic Algorithm |
| title_full_unstemmed | Optimization of Inertia Friction Welding of Dissimilar Polymeric PA6-PVC Hollow Cylinders by Genetic Algorithm |
| title_short | Optimization of Inertia Friction Welding of Dissimilar Polymeric PA6-PVC Hollow Cylinders by Genetic Algorithm |
| title_sort | optimization of inertia friction welding of dissimilar polymeric pa6 pvc hollow cylinders by genetic algorithm |
| topic | inertia friction welding thermoplastics numerical simulation regression model genetic algorithm |
| url | https://pserj.journals.ekb.eg/article_115840_3fe135cd268a56eea0fc00d4c8f42991.pdf |
| work_keys_str_mv | AT samarelsanabary optimizationofinertiafrictionweldingofdissimilarpolymericpa6pvchollowcylindersbygeneticalgorithm AT hanankouta optimizationofinertiafrictionweldingofdissimilarpolymericpa6pvchollowcylindersbygeneticalgorithm |