Multiobjective optimization of MMAW process parameters for joining stainless steel 304 with mild steel by using response surface methodology

2020 ◽  
Vol 26 ◽  
pp. 305-310
Author(s):  
U.S. Patil ◽  
M.S. Kadam
Keyword(s):  
Stainless Steel ◽  
Response Surface Methodology ◽  
Multiobjective Optimization ◽  
Mild Steel ◽  
Response Surface ◽  
Process Parameters ◽  
Stainless Steel 304

Modelling and multi-response optimization of wire electric discharge machining parameters using response surface methodology and grey–fuzzy algorithm

2015 ◽  
Vol 231 (10) ◽  
pp. 1760-1774 ◽  
Author(s):  
Bikash Choudhuri ◽  
Ruma Sen ◽  
Subrata Kumar Ghosh ◽  
Subhash Chandra Saha
Keyword(s):  
Stainless Steel ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Process Parameters ◽  
Electric Discharge ◽  
Machining Parameters ◽  
Electric Discharge Machining ◽  
Wire Electric Discharge Machining ◽  
Grey Relational ◽  
Stainless Steel 316

Wire electric discharge machining is a non-conventional machining wherein the quality and cost of machining are influenced by the process parameters. This investigation focuses on finding the optimal level of process parameters, which is for better surface finish, material removal rate and lower wire consumption for machining stainless steel-316 using the grey–fuzzy algorithm. Grey relational technique is applied to find the grey coefficient of each performance, and fuzzy evaluates the multiple performance characteristics index according to the grey relational coefficient of each response. Response surface methodology and the analysis of variance were used for modelling and analysis of responses to predict and find the influence of machining parameters and their proportion of contribution on the individual and overall responses. The measured values from confirmation experiments were compared with the predicted values, which indicate that the proposed models can be effectively used to predict the responses in the wire electrical discharge machining of AISI stainless steel-316. It is found that servo gap set voltage is the most influential factor for this particular steel followed by pulse off time, pulse on time and wire feed rate.

Comparison of Process Parameters on Mild Steel and SS304 Through Statistical Analysis of Optimization Technique

2020 ◽  
Vol 12 (7) ◽  
pp. 888-893
Author(s):  
Vinit Kumar ◽  
Mazhar Hussain ◽  
Rajnish Singh ◽  
Shashank Kumar
Keyword(s):  
Stainless Steel ◽  
Mild Steel ◽  
Process Parameters ◽  
Feed Rate ◽  
Cutting Tool ◽  
Metal Removal ◽  
Removal Rate ◽  
Cutting Speed ◽  
Depth Of Cut ◽  
Stainless Steel 304

The present study concentrated on the variation of process parameters on metal removal rate (MRR) used in turning of widely used material (stainless steel 304 and Mild steel). Turning is essential and robust process of material removal in the form of chips. The Turning process involved lots of process parameters as tool geometry, feed rate, rotational speed of job and rigidity of machine tools etc. In the present work study was done on the following cutting parameters as cutting speed (85,150 and 250 rpm), feed rate (0.13, 0.28 and 0.15, 0.09 mm/sec), depth of cut (0.4, 0.7 and 1 mm). The three label orthogonal array for process parameters were selected for metal removal rate analysis. The carbide tipped cutting tool was selected as cutting tool of positive rake angle. The analysis of process parameters was done through Minitab 17 software. The orthogonal array was selected 3*3; by the use of signal to noise (S/N) ratio is to minimise the variation due to uncontrolled parameters with the help of Taguchi method. Total nine experiments were performing on stainless steel and other set of nine experiments were perform on the mild steel. The experimental results reveals that moderate cutting speed 150 rpm, 0.09 mm/sec feed rate and 1 mm depth of cut yield good results for stainless steel 304 grade and mild steel.

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.

scholarly journals Prediction of Optimum Weld Tensile Strength Using Response Surface Methodology

2021 ◽  
Vol 6 (3) ◽  
pp. 81-84
Author(s):  
C. E. Etin-Osa ◽  
L. M. Ebhota
Keyword(s):  
Tensile Strength ◽  
Response Surface Methodology ◽  
Mild Steel ◽  
Tensile Test ◽  
Response Surface ◽  
Process Parameters ◽  
Flow Rate ◽  
Gas Flow ◽  
Experimental Result ◽  
Gas Flow Rate

Metals are often subjected to various types of stresses, usually under tensile stress, quick failure of material can be encouraged especially when poor combinations of process parameters are employed in joining of the material. Tensile strength is regarded as the maximum stress that a material can sustain under tension. The aim of this study is to predict the weld tensile strength of tungsten inert gas (TIG) mild steel welds using Response Surface Methodology (RSM), with the purpose of achieving optimum results. The input parameters considered were current, voltage, and gas flow rate. The TIG welding process was used to join two pieces of mild steel plates, after which tensile test was conducted on the specimen. The experimental result was analyzed using the RSM. Weld Tensile test of 596.218MPa with a desirability value of 95.70% was observed to be the best, resulting from the optimized process parameters of current of 120.00 Amp, voltage of 20.00 volt and gas flow rate of 12.00 L/min.

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