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Title
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RSM OPTlMlZATION OF RSW PROCESS ON TENSlLE SHEAR FRACTURE LOAD
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Type
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Refereeing
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Keywords
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joints, RSM, Macroscopic examination, shear test, RSW
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Abstract
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The stainIess steels such as Austenitic Stainless Steel (ASS) and DupIex Stainless SteeI (DSS) are joined to optimize the Resistance Spot Welding (RSW) process parameters and predict the parametric lnfluence on the response of Tensile Shear Fracture Load (TSFL). The Response Surface Methodology (RSM) is an optimization technique that is used for optimizing the process parameters on TSFL and with the help of these results; a satisfactory quadratic mathematical model has been developed to predict the response. The optimal parameters and their levels are found and reported as follows: weIding current = 9 kA, weIding time = 0.18 seconds and electrode tip radius = 3 mm. The actual and predicted values of TSFL for the optimized parameters are 17.6 kN and 17.9 kN respectively. The developed quadratic model is efficiently predicted the response with an average error percentage of 2.18. The significant and insignificant terms in the models has been ldentified by 95% confidence level using ‘p’ test. The lnsignificant terms are removed from the model and the ANOVA table is formulated only with the significant terms. Significance of each term in the ANOVA table is identified based on the percentage of contribution and noticed that welding current has the highest significance (46%) on TSFL. The macroscopic examination confirmed that the Iarger nugget is observed during the maximum welding current due to the high heat generation. Smaller nugget Iength is observed at the minimum welding time, because, the allowable time for current flow is limited. Also, the TSFL and nugget length are positively correlated.
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Researchers
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Mohammad Saeed Goodarzi (Referee)
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