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...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Sharaf, Ahmed (author)
التنسيق: doctoralThesis
منشور في: 2023
الموضوعات:
الوصول للمادة أونلاين:http://hdl.handle.net/11073/25476
الوسوم: إضافة وسم
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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).
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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