Optimization of Welding Parameters for Friction Welding of 304 Stainless Steel to D3Tool Steel Using Response Surface Methodology

2019 ◽  
pp. 427-437
Author(s):  
Sangathoti Haribabu ◽  
Muralimohan Cheepu ◽  
Venkateswarlu Devuri ◽  
Venkata Charan Kantumuchu
2016 ◽  
Vol 35 (3) ◽  
pp. 235-241
Author(s):  
Sare Celik ◽  
Aslan Deniz Karaoglan ◽  
Ismail Ersozlu

AbstractThe joining of dissimilar metals is one of the most essential necessities of industries. Manufacturing by the joint of alloy steel and normal carbon steel is used in production, because it decreases raw material cost. The friction welding process parameters such as friction pressure, friction time, upset pressure, upset time and rotating speed play the major roles in determining the strength and microstructure of the joints. In this study, response surface methodology (RSM), which is a well-known design of experiments approach, is used for modeling the mathematical relation between the responses (tensile strength and maximum temperature), and the friction welding parameters with minimum number of experiments. The results show that RSM is an effective method for this type of problems for developing models and prediction.


Author(s):  
S.T. Selvamani ◽  
S. Divagar ◽  
M. Vigneshwar

In this research work, the friction welding of AISI 1020 grade steel joints are fabricated to predict the minimum Vickers hardness in the joints. The response surface methodology was used to optimize the friction welding parameters in this study. RSM is a collection of mathematical and statistical techniques that are helpful for designing a set of experiments, analyzing the optimum combination of input process parameters, developing a mathematical model, and expressing the values graphically. Therefore, the response surface methodology has been utilized to optimize the friction welding process parameter with the help of ANOVA design matrix. The microstructures analyzed were carried out for the optimized condition joint.


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