Optimization of flux-cored arc welding process parameters by using genetic algorithm
| Autor: | R. Madesh, B. Senthilkumar, T. Kannan |
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| Rok vydání: | 2015 |
| Předmět: |
0209 industrial biotechnology
Engineering Mathematical model Flux-cored arc welding business.industry Mechanical Engineering Design of experiments 02 engineering and technology Structural engineering Welding Multi-objective optimization Industrial and Manufacturing Engineering Computer Science Applications law.invention Taguchi methods 020901 industrial engineering & automation Control and Systems Engineering law 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Arc welding Orthogonal array business Software |
| Zdroj: | The International Journal of Advanced Manufacturing Technology. 93:35-41 |
| ISSN: | 1433-3015 0268-3768 |
| Popis: | The effect of flux-cored arc welding (FCAW) process parameters on the quality of the super duplex stainless steel (SDSS) claddings can be studied using Taguchi L9 design of experiments. In this experimental investigation, deposits were made with 30 % bead overlap. Establishing the optimum combination of process parameters is required to ensure better bead geometry and desired properties. The above objectives can be achieved by identifying the significant input process parameters as input to the mathematical models like welding voltage (X 1), wire feed rate (X 2), welding speed (X 3), and nozzle-to-plate distance (X 4). The identified responses governing the bead geometry are bead width (W) and height of the reinforcement (H). The mathematical models were constructed using the data collected from the experiments based on Taguchi L9 orthogonal array. Then, the responses were optimized using non-traditional nature-inspired technique like genetic algorithm (GA). |
| Databáze: | OpenAIRE |
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