Artificial Neural Networks in Tensile Strength and Input Parameter Prediction in Friction Stir Welding
نویسنده
چکیده
Welding speed and rotational speed have been singled out as the most influential welding parameters which affect the tensile strength as well as the hardness in Friction Stir Welding (FSW). It is however problematic to determine the possible welding speed and rotational speed given the Ultimate Tensile Strength (UTS) since there are several combinations of welding speeds and rotational speeds that can yield the same UTS. At the same time, however, the input parameters predicted may not be available on the machine. This research is therefore aimed at using Artificial Neural Networks (ANN) in predicting the UTS given rotational speed and welding speed as well as exploring the possibility of obtaining the input parameters given the output UTS.
منابع مشابه
Effect of Heat Input on Microstructure and Mechanical Properties in Friction Stir Welding of HSLA-60
High-strength low alloy steels are a class of steels used in applications that require high strength and good weldability, including ship hulls, gas pipelines and oil industry. One way to build parts is fusion welding that create areas with a large grain size in the heat-affected zone and increased susceptibility to hydrogen cracking. One way to solve this problem is to use solid state friction...
متن کاملOptimizing the Process Parameters of Friction Stir Welded Joint of Magnesium Alloy Az31b
This paper deals with Friction stir welding of AZ31B Mg alloy by using H13 Tool at different rotational speeds and welding speeds .Experiments were conducted according to L4 Orthogonal array which was suggested by Taguchi. Optimum parameters for optimum Tensile strength, Hardness and Ductility were found with the help of S/N ratios. Therefore optimization of input process parameter is required ...
متن کاملPrediction of the Vickers Microhardness and Ultimate Tensile Strength of AA5754 H111 Friction Stir Welding Butt Joints Using Artificial Neural Network
A simulation model was developed for the monitoring, controlling and optimization of the Friction Stir Welding (FSW) process. This approach, using the FSW technique, allows identifying the correlation between the process parameters (input variable) and the mechanical properties (output responses) of the welded AA5754 H111 aluminum plates. The optimization of technological parameters is a basic ...
متن کاملEffect of Heat Input on Microstructure and Mechanical Properties in Friction Stir Welding of HSLA-60
High-strength low alloy steels are a class of steels used in applications that require high strength and good weldability, including ship hulls, gas pipelines and oil industry. One way to build parts is fusion welding that create areas with a large grain size in the heat-affected zone and increased susceptibility to hydrogen cracking. One way to solve this problem is to use solid state friction...
متن کاملEffect of friction stir welding parameters on the ultimate tensile strength of Al-Cu tailor welded blanks
In the present study, parameters of tool rotation speed, tool travel speed and tool offsetting with different levels were used in the friction stir welding (FSW) of aluminum-copper tailor welded blanks (TWBs). The FSW of pure copper to 5052 aluminum alloy were carried out by varying tool rotation speed from 800 rpm to 1200 rpm, tool travel speed from 40 mm/min to 80 mm/min and tool offsetting f...
متن کامل