scholarly journals Optimization of Friction Surfacing Process Parameters for AA1100 Aluminum Alloy Coating with Mild Steel Substrate Using Response Surface Methodology (RSM) Technique

2012 ◽  
Vol 6 (2) ◽  
Author(s):  
Sugandhi Veerasamy ◽  
Ravisankar V
Keyword(s):  
Response Surface Methodology ◽  
Aluminum Alloy ◽  
Mild Steel ◽  
Response Surface ◽  
Process Parameters ◽  
Steel Substrate ◽  
Alloy Coating ◽  
Aa1100 Aluminum Alloy ◽  
Rsm Technique ◽  
Mild Steel Substrate

Multi-Performance Optimization in Friction Stir Welding of Aluminum Alloy Using Response Surface Methodology

2018 ◽  
pp. 240-263
Author(s):  
Rajat Gupta ◽  
Kamal Kumar ◽  
Neeraj Sharma
Keyword(s):  
Response Surface Methodology ◽  
Aluminum Alloy ◽  
Friction Stir Welding ◽  
Response Surface ◽  
Process Parameters ◽  
Performance Optimization ◽  
Desirability Function ◽  
High Carbon Steel ◽  
Friction Stir ◽  
Tool Shoulder

This chapter presents the friction stir welding (FSW) of aluminum alloy AA-5083-O using vertical milling machine. In present FSW experimentation, effects of different process parameter namely tool rotation speed, welding speed, tool geometry, and tool shoulder diameter have been determined on welding quality of two pieces of AA-5083-O using response surface methodology (RSM). The optimal sets of process parameters have been determined for weld quality characteristics namely tensile strength (UTS) and percentage elongation (%EL). In present experimentations, a specially designed tool made of high carbon steel with different shoulder diameters (15mm, 17.5mm, and 20 mm) having constant pin length (6 mm) were used for FSW of two pieces of aluminum alloy. The ANOVA and pooled ANOVA were used to study the effect of FSW parameters on UTS and %EL. Multi response optimization has been carried out using desirability function in conjunction with RSM to obtain the optimal setting of process parameters for higher UTS and lower %EL.

Optimization of laser welding of tri – metal joint via response surface methodology

2017 ◽  
Vol 13 (9) ◽  
pp. 6503-6512
Author(s):  
G. Krishna Kumar ◽  
C. Velmurugan ◽  
T. Kannan
Keyword(s):  
Response Surface Methodology ◽  
Laser Welding ◽  
Mild Steel ◽  
Response Surface ◽  
Process Parameters ◽  
Power Plants ◽  
Research Work ◽  
Dissimilar Materials ◽  
Nuclear Industry ◽  
Electron Microscopes

 Laser welding input parameters play a major role in determining the quality of a weld joint. In the nuclear power plants, hybrid structures of nickel and steel alloys offer an advantage in comparison to conventional materials, e.g. in heat exchanger tube areas. Due to demand in the nuclear industry for new material combinations based on commercially available and qualified materials, research into thermal joining of dissimilar materials has been initiated. The use of laser for joining mild steel / nickel with 316L austenitic stainless steel filler material and structures offers some advantages compared with usual thermal joining processes. The main aim is the control of phase formation, which occurs during thermal joining of mild steel to nickel. In this research work microstructure study and optimization of laser welding of mild steel / nickel sheets with wire feeding was done using Central Composite Design(CCD) and Response Surface Methodology (RSM) are used to build the mathematical model. By means of the laser power, welding speed and pulse width on the tensile strength model was developed and tested by analysis of variance method (ANOVA), the relationship between process parameters and output response and interaction among the process parameters are analyzed and discussed in detail. The scanning electron microscopes (SEM) with energy dispersive X-ray spectroscopy (EDS) technique were used for microstructure study of the bi-metal and tri-metal joints of the weld.

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