Gas Metal Arc Welding (GMAW) Process Optimization Using Machine Learning Models
A Master of Science thesis in Engineering Systems Management by Ahmed Sharaf entitled, “Gas Metal Arc Welding (GMAW) Process Optimization Using Machine Learning Models”, submitted in November 2023. Thesis advisor is Dr. Noha Hussein. Soft copy is available (Thesis, Completion Certificate, Approval S...
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| Format: | doctoralThesis |
| Published: |
2023
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| Online Access: | http://hdl.handle.net/11073/25476 |
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| _version_ | 1864513440775667712 |
|---|---|
| author | Sharaf, Ahmed |
| author_facet | Sharaf, Ahmed |
| author_role | author |
| dc.contributor.none.fl_str_mv | Hussein, Noha |
| dc.creator.none.fl_str_mv | Sharaf, Ahmed |
| dc.date.none.fl_str_mv | 2023-11 2024-02-28T09:51:59Z 2024-02-28T09:51:59Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | 35.232-2023.67 http://hdl.handle.net/11073/25476 |
| dc.language.none.fl_str_mv | en_US |
| dc.subject.none.fl_str_mv | Gas Metal Arc Welding (GMAW) Metal Inert gas (MIG) Multi-objective optimization Welding Taguchi Method Optimization algorithms Aggregation Design of Experiment (DOE) |
| dc.title.none.fl_str_mv | Gas Metal Arc Welding (GMAW) Process Optimization Using Machine Learning Models |
| dc.type.none.fl_str_mv | info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/doctoralThesis |
| description | A Master of Science thesis in Engineering Systems Management by Ahmed Sharaf entitled, “Gas Metal Arc Welding (GMAW) Process Optimization Using Machine Learning Models”, submitted in November 2023. Thesis advisor is Dr. Noha Hussein. Soft copy is available (Thesis, Completion Certificate, Approval Signatures, and AUS Archives Consent Form). |
| format | doctoralThesis |
| id | aus_aa78d07a40646a059da16b7bc740f577 |
| identifier_str_mv | 35.232-2023.67 |
| language_invalid_str_mv | en_US |
| network_acronym_str | aus |
| network_name_str | aus |
| oai_identifier_str | oai:repository.aus.edu:11073/25476 |
| publishDate | 2023 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Gas Metal Arc Welding (GMAW) Process Optimization Using Machine Learning ModelsSharaf, AhmedGas Metal Arc Welding (GMAW)Metal Inert gas (MIG)Multi-objective optimizationWeldingTaguchi MethodOptimization algorithmsAggregationDesign of Experiment (DOE)A Master of Science thesis in Engineering Systems Management by Ahmed Sharaf entitled, “Gas Metal Arc Welding (GMAW) Process Optimization Using Machine Learning Models”, submitted in November 2023. Thesis advisor is Dr. Noha Hussein. Soft copy is available (Thesis, Completion Certificate, Approval Signatures, and AUS Archives Consent Form).College of EngineeringDepartment of Industrial EngineeringMaster of Science in Engineering Systems Management (MSESM)Hussein, Noha2024-02-28T09:51:59Z2024-02-28T09:51:59Z2023-11info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisapplication/pdf35.232-2023.67http://hdl.handle.net/11073/25476en_USoai:repository.aus.edu:11073/254762025-06-26T12:22:44Z |
| spellingShingle | Gas Metal Arc Welding (GMAW) Process Optimization Using Machine Learning Models Sharaf, Ahmed Gas Metal Arc Welding (GMAW) Metal Inert gas (MIG) Multi-objective optimization Welding Taguchi Method Optimization algorithms Aggregation Design of Experiment (DOE) |
| status_str | publishedVersion |
| title | Gas Metal Arc Welding (GMAW) Process Optimization Using Machine Learning Models |
| title_full | Gas Metal Arc Welding (GMAW) Process Optimization Using Machine Learning Models |
| title_fullStr | Gas Metal Arc Welding (GMAW) Process Optimization Using Machine Learning Models |
| title_full_unstemmed | Gas Metal Arc Welding (GMAW) Process Optimization Using Machine Learning Models |
| title_short | Gas Metal Arc Welding (GMAW) Process Optimization Using Machine Learning Models |
| title_sort | Gas Metal Arc Welding (GMAW) Process Optimization Using Machine Learning Models |
| topic | Gas Metal Arc Welding (GMAW) Metal Inert gas (MIG) Multi-objective optimization Welding Taguchi Method Optimization algorithms Aggregation Design of Experiment (DOE) |
| url | http://hdl.handle.net/11073/25476 |