%0 Journal Article
%T A Fuzzy Logic Approach to Predict Tensile Strength in TIG Mild Steel Welds
%A Ademola Adebiyi Oyinbade
%A Kehinde Ademola Imoukhuede
%A Abdulateef Olufolahan Akadiri
%J World Journal of Engineering and Technology
%P 199-207
%@ 2331-4249
%D 2023
%I Scientific Research Publishing
%R 10.4236/wjet.2023.112013
%X Welding defects influence the desired properties of welded joints giving fabrication experts a common problem of not being able to produce weld&nbsp;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 w</span><span style=\"white-space:normal;\"><span style=\"font-family:&quot;\">ere</span></span><span style=\"white-space:normal;\"><span style=\"font-family:&quot;\">&nbsp;conducted and tensile strength data was collected which were converted from crisp variable</span></span><span style=\"white-space:normal;\"><span style=\"font-family:&quot;\">s</span></span><span style=\"white-space:normal;\"><span style=\"font-family:&quot;\">&nbsp;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%</span></span><span style=\"white-space:normal;\"><span style=\"font-family:&quot;\">.
%K Tensile Strength
%K Predict
%K Steel
%K Fuzzy Logic
%K Tungsten Inert Gas
%K Welding
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=123703