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A Fuzzy Logic Approach to Predict Tensile Strength in TIG Mild Steel Welds

DOI: 10.4236/wjet.2023.112013, PP. 199-207

Keywords: Tensile Strength, Predict, Steel, Fuzzy Logic, Tungsten Inert Gas, Welding

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Abstract:

Welding defects influence the desired properties of welded joints giving fabrication experts a common problem of not being able to produce weld?structures with optimal strength and quality. In this study, the fuzzy logic system was employed to predict welding tensile strength. 30 sets of welding experiments were?conducted and tensile strength data was collected which were converted from crisp variables?into fuzzy sets. The result showed that the fuzzy logic tool is a highly effective tool for predicting tensile strength present in TIG mild steel weld having a coefficient of determination value of 99%.

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