IJERT-Parametric Optimisation of MIG Welding Process with the Help of Taguchi Method (original) (raw)
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Parametric Optimisation of MIG Welding Process with the Help of Taguchi Method
Gas metal arc welding is a fusion welding process having more importance in industry. This study aims to examine the interaction between process parameters a nd torsional rigidity. In this process proper selection of input welding parameters is necessary in order to optimize fillet welded structure and subsequently increase the productivity of the process. In order to obtain a good quality weld, it is therefore, necessary to control the input welding parameters For this, not only linear and the curvilinear equations were developed to predict bead geometry, but also interactions between process parameters and bead geometry were analysed through sensitivity analysis. One of the important welding output parameters in this process is torsional rigidity affecting the quality and productivity of weldment. In this research paper using Taguchi's method of design of experiments a mathematical model was developed using parameters such as, wire feed rate (W), welding voltage (V), welding current. After collecting data, signal-to-noise ratio (S/N) were calculated and used in order to obtain the optimum levels for every input parameters. Keywords— Gas Metal Arc Welding (GMAW), Torsional rigidity, Taguchi Method,, Signal-to- noise ratio
IJERT-An Optimization of Welding Parameters for MIG Welding
International Journal of Engineering Research and Technology (IJERT), 2018
https://www.ijert.org/an-optimization-of-welding-parameters-for-mig-welding https://www.ijert.org/research/an-optimization-of-welding-parameters-for-mig-welding-IJERTCONV6IS14072.pdf Metal Inert Gas welding is one of the most widely used processes in industry. The input parameters play a very significant role in determining the quality of a welded joint. In fact, weld geometry directly affects the complexity of weld schedules and thereby the construction and manufacturing costs of steel structures and mechanical devices. Therefore, these parameters affecting the arc and welding should be estimated and their changing conditions during process must be known before in order to obtain optimum results; in fact a perfect arc can be achieved when all the parameters are in conformity. In this paper, MIG welding is performed on the mild steel at a speed of 2.25mm/sec. Different mild steel pieces are welded by varying the currents, 150amp, 200amp and 250amps. The hardness and tensile tests are performed to determine the optimal welding currents. Taguchi method is used to determine the optimal process parameters for high tensile strength and hardness. The process parameters considered for Taguchi method are current 150amps, 250amps and weld feed rate 3.2mm/min and 4.2mm/min. Thermal analysis and structural analysis is performed to determine the heat transfer rates and the strength of the pieces at the applied load respectively. Modeling is done in Pro/Engineer and analysis is done in Ansys.
Welding is a basic manufacturing process for making components or assemblies in industries. Recent welding economics research has focused on developing the reliable machinery database to ensure optimum design. There are many welding parameters whose selection contributes to the welded product as they all affect the strength and quality to a larger extent. Some of them are material, welding rod, diameter of electrode, weld design Root face, and Root gap. In this research, welding input process parameters have been optimize for greater weld strength in Electric arc welding. Metal like mild steel (1018), carbon steel (1020) and alloy steel (4130) are presented as a study material and welding rod and voltage of current are the other two parameter for the T-joint welding.. After this theses welds are tested for bending strength on universal testing machine. The Taguchi methodology is adopted to analyze the effect of each welding process parameter on the weld strength, and the optimal process parameters are obtained to achieve greater weld strength. The study includes selection of parameters, utilizing an orthogonal array, conducting experimental runs, data analysis, determining the optimum combination. Finally the experimental verification has been done. Experimental results are provided to illustrate the proposed approach. Finally we derived a mathematical model for breaking load for bending with the help of MATLAB software. After the whole work comparative analysis of results from different theories has been done in which we found that all results are approximately similar. Hence author concluded that the values of parameters can be selected for other vital experiment on the basis of mathematical model generated by this research.
International Journal of Engineering Research and Technology (IJERT), 2015
https://www.ijert.org/parametric-optimisation-of-gas-metal-arc-welding-process-with-the-help-of-taguchi-method-on-tensile-strength-a-review https://www.ijert.org/research/parametric-optimisation-of-gas-metal-arc-welding-process-with-the-help-of-taguchi-method-on-tensile-strength-a-review-IJERTV4IS040378.pdf Gas metal arc welding is a fusion welding process having more importance in industry. This study aims to examine the interaction between process parameters and tensile strength. In this process proper selection of input welding parameters is necessary in order to optimize fillet welded structure and subsequently increase the productivity of the process. In order to obtain a good quality weld, it is therefore, necessary to control the input welding parameters For this, not only linear and the curvilinear equations were developed to predict bead geometry, but also interactions between process parameters and bead geometry were analysed through sensitivity analysis. One of the important welding output parameters in this process is tensile strength affecting the quality and productivity of weldment. In this research paper using Taguchi's method of design of experiments a mathematical model was developed using parameters such as, wire feed rate (W), welding voltage (V), welding current. After collecting data, signal-to-noise ratios (S/N) were calculated and used in order to obtain the optimum levels for every input parameters.
International Journal of Engineering Research and Technology (IJERT), 2013
https://www.ijert.org/optimisation-of-process-parameters-of-mig-welding-to-improve-quality-of-weld-by-using-taguchi-methodology https://www.ijert.org/research/optimisation-of-process-parameters-of-mig-welding-to-improve-quality-of-weld-by-using-taguchi-methodology-IJERTV2IS121308.pdf For any manufacturing industry, welding is one of the most important and effectively used manufacturing process. In today's manufacturing scenario, optimization of welding process is essential for a manufacturing unit to respond effectively to severe competitiveness and increasing demand of quality which has to be achieved at minimal cost. Quality of a weld is depends on welding input parameters. Weld penetration depth is one of the prime requirements of welded parts. The purpose of this research paper is focused on the analysis of optimum welding conditions to get highest penetration in weld by regression analysis. This paper presents an experimental study to investigate the effects of welding parameters like current, voltage and gas flow on penetration on cold rolled steel 3 mm thick steel strip. In this investigation, an effective approach is based on Taguchi method, analysis of variance (ANOVA and Regression analysis. It has been developed to determine the optimum conditions to get highest penetration in welding. Experiments were conducted by varying current, voltage and gas flow on penetration using L9 orthogonal array of Taguchi method. Experimental results from the orthogonal array were used as the reference data for the regression model to map the relationship between process parameters and penetration depth. The experiment was conducted on "Lever Complete Gear Shaft Assembly" of Bajaj auto two wheeler having material cold rolled steel. From the investigation it concludes that Current is most influencing parameter followed by Voltage and Gas flow on Penetration.
Before starting any dissertation work, the review of the topic is must, because it helps us in knowing the amount of work that has been done in that topic by the different researchers. It also helps us in doing the further work by taking the reference of the previous work done in the best possible way. This paper presents the review of relevant past work on parametric optimization of MIG welding by different methods. The MIG welding parameters are the most important factors affecting the quality, productivity and cost of welding. welding parameter contains welding current, welding voltage, welding speed, shielding gas, arc travel, etc. mechanical properties like tensile strength, hardness etc.
Parametric Optimization of MIG Welding for Dissimilar Metals Using Taguchi Design Method
International Journal of Scientific Research in Science and Technology, 2017
The present work deals with optimization of welding process variables by using Metal inert gas welding.The aim of my work is to study the hardness that affect the welding joint of dissimilar metals. Stainless Steel 304 was welded to C-25 carbon steel using a metal inert gas welding which also known as gas metal arc is welding with the help of filler wire of stainless steel and 0.8 mm diameter. Argon gas was used as shielding gas in this process. Dissimilar metals welding have great scope in advanced technology now a days owing to their high strenght, hardness, and corrosion resistance properties. The combination of midium carbon steel and austenitic stainless steel has got large number of application in industry such as tublar product, building and costruction, nuclear plant, and heat exchanger assembly etc. Due to the fact that low cost of C-25 carbon steel and corrosion resistance property of stainless steel. All these applications are require welding of the two which can perform ...
OPTIMIZATION OF MIG WELDING TECHNIQUE PARAMETERS WITH THE HELP OF TAGUCHI METHOD
IAEME PUBLICATION, 2016
Welding is a basic manufacturing process for making components or assemblies. Recent welding economics research has focused on developing the reliable machinery database to ensure optimum production. In this paper, the optimization of welding input process parameters for obtaining greater weld strength in the manual metal inert gas (MIG) welding of similar metals of mild steel is presented. The Taguchi method is adopted to analyze the effect of each welding process parameter on the weld strength, and the optimal process parameters are obtained to achieve greater weld strength. Experimental results are provided to illustrate the proposed approach.