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Resistance of Spot Welding on Galvanized Steel Sheet

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Literature review starting with the research topic of the modeling and analysis of resistance spot welding on galvanized steel sheet used in car body manufacturing.

In the process analysis of resistance spot welding on galvanized steel used in vehicle body manufacturing, the quality of spot weld is checked from the tensile strength and shear strength properties of the spot weld. The four important parameters in this analysis are:
a. Weld current
b. Weld time
c. Pressure
d. Hold time

These four factors determine the quality of weld. For the first stage of analysis, non- linear behavior of the process become one of the main problem. So the author proposed an Artificial Neural Network (ANN). This Artificial Neural Network is capable of dealing and gives accurate result for non- linear systems. This research paper aims to give the proper solution to control the process input parameters to make better spot weld joints with specified strength. In the second stage of the research work, Genetic Algorithm with fitness function based on Artificial Neural Network (ANN) model was used for determining a set of optimized process parameters.

At the end of research paper it is concluded that the analysis shows that there is a non- linear relationship between weld parameters and tensile – shear strength properties of spot weld joints. The proposed Artificial Neural Network was very much effective for modeling the non - linear systems. The analysis conducted by the use of Artificial

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