Process Parameter Optimization in TIG Welding of AISI 4340 Low Alloy Steel Welds by Genetic Algorithm
| Publication Date: |
2018-07-31
|
|---|---|
| Publisher: |
Institute of Physics (IOP)
|
| Print ISSN: |
1757-8981
|
| Electronic ISSN: |
1757-899X
|
| Topics: |
Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
|
| Published by: |
| _version_ | 1836399017945202688 |
|---|---|
| autor | D. Vijayan and V. Seshagiri Rao |
| beschreibung | Weld quality is an essential requirement to the fabrication and construction industries. In this present investigation, an attempt has been made to optimize the process parameters of Tungsten Inert Gas (TIG) welding of AISI 4340 low alloy steel. Taguchi L9 orthogonal array is used to design the experiment and response surface methodology was used to develop mathematical model and the process parameters were optimized using Genetic Algorithm (GA). The important process parameters namely welding current, voltage, welding speed, and gas flow rate are considered. The results indicate that the current and voltage have a maximum influence on improving Ultimate Tensile Strength (UTS) in TIG-welded joint. |
| citation_standardnr | 6311449 |
| datenlieferant | ipn_articles |
| feed_id | 123476 |
| feed_publisher | Institute of Physics (IOP) |
| feed_publisher_url | http://www.iop.org/ |
| insertion_date | 2018-07-31 |
| journaleissn | 1757-899X |
| journalissn | 1757-8981 |
| publikationsjahr_anzeige | 2018 |
| publikationsjahr_facette | 2018 |
| publikationsjahr_intervall | 7984:2015-2019 |
| publikationsjahr_sort | 2018 |
| publisher | Institute of Physics (IOP) |
| quelle | IOP Conference Series: Materials Science and Engineering |
| relation | http://iopscience.iop.org/1757-899X/390/1/012066 |
| search_space | articles |
| shingle_author_1 | D. Vijayan and V. Seshagiri Rao |
| shingle_author_2 | D. Vijayan and V. Seshagiri Rao |
| shingle_author_3 | D. Vijayan and V. Seshagiri Rao |
| shingle_author_4 | D. Vijayan and V. Seshagiri Rao |
| shingle_catch_all_1 | Process Parameter Optimization in TIG Welding of AISI 4340 Low Alloy Steel Welds by Genetic Algorithm Weld quality is an essential requirement to the fabrication and construction industries. In this present investigation, an attempt has been made to optimize the process parameters of Tungsten Inert Gas (TIG) welding of AISI 4340 low alloy steel. Taguchi L9 orthogonal array is used to design the experiment and response surface methodology was used to develop mathematical model and the process parameters were optimized using Genetic Algorithm (GA). The important process parameters namely welding current, voltage, welding speed, and gas flow rate are considered. The results indicate that the current and voltage have a maximum influence on improving Ultimate Tensile Strength (UTS) in TIG-welded joint. D. Vijayan and V. Seshagiri Rao Institute of Physics (IOP) 1757-8981 17578981 1757-899X 1757899X |
| shingle_catch_all_2 | Process Parameter Optimization in TIG Welding of AISI 4340 Low Alloy Steel Welds by Genetic Algorithm Weld quality is an essential requirement to the fabrication and construction industries. In this present investigation, an attempt has been made to optimize the process parameters of Tungsten Inert Gas (TIG) welding of AISI 4340 low alloy steel. Taguchi L9 orthogonal array is used to design the experiment and response surface methodology was used to develop mathematical model and the process parameters were optimized using Genetic Algorithm (GA). The important process parameters namely welding current, voltage, welding speed, and gas flow rate are considered. The results indicate that the current and voltage have a maximum influence on improving Ultimate Tensile Strength (UTS) in TIG-welded joint. D. Vijayan and V. Seshagiri Rao Institute of Physics (IOP) 1757-8981 17578981 1757-899X 1757899X |
| shingle_catch_all_3 | Process Parameter Optimization in TIG Welding of AISI 4340 Low Alloy Steel Welds by Genetic Algorithm Weld quality is an essential requirement to the fabrication and construction industries. In this present investigation, an attempt has been made to optimize the process parameters of Tungsten Inert Gas (TIG) welding of AISI 4340 low alloy steel. Taguchi L9 orthogonal array is used to design the experiment and response surface methodology was used to develop mathematical model and the process parameters were optimized using Genetic Algorithm (GA). The important process parameters namely welding current, voltage, welding speed, and gas flow rate are considered. The results indicate that the current and voltage have a maximum influence on improving Ultimate Tensile Strength (UTS) in TIG-welded joint. D. Vijayan and V. Seshagiri Rao Institute of Physics (IOP) 1757-8981 17578981 1757-899X 1757899X |
| shingle_catch_all_4 | Process Parameter Optimization in TIG Welding of AISI 4340 Low Alloy Steel Welds by Genetic Algorithm Weld quality is an essential requirement to the fabrication and construction industries. In this present investigation, an attempt has been made to optimize the process parameters of Tungsten Inert Gas (TIG) welding of AISI 4340 low alloy steel. Taguchi L9 orthogonal array is used to design the experiment and response surface methodology was used to develop mathematical model and the process parameters were optimized using Genetic Algorithm (GA). The important process parameters namely welding current, voltage, welding speed, and gas flow rate are considered. The results indicate that the current and voltage have a maximum influence on improving Ultimate Tensile Strength (UTS) in TIG-welded joint. D. Vijayan and V. Seshagiri Rao Institute of Physics (IOP) 1757-8981 17578981 1757-899X 1757899X |
| shingle_title_1 | Process Parameter Optimization in TIG Welding of AISI 4340 Low Alloy Steel Welds by Genetic Algorithm |
| shingle_title_2 | Process Parameter Optimization in TIG Welding of AISI 4340 Low Alloy Steel Welds by Genetic Algorithm |
| shingle_title_3 | Process Parameter Optimization in TIG Welding of AISI 4340 Low Alloy Steel Welds by Genetic Algorithm |
| shingle_title_4 | Process Parameter Optimization in TIG Welding of AISI 4340 Low Alloy Steel Welds by Genetic Algorithm |
| timestamp | 2025-06-30T23:36:17.594Z |
| titel | Process Parameter Optimization in TIG Welding of AISI 4340 Low Alloy Steel Welds by Genetic Algorithm |
| titel_suche | Process Parameter Optimization in TIG Welding of AISI 4340 Low Alloy Steel Welds by Genetic Algorithm |
| topic | ZL |
| uid | ipn_articles_6311449 |