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

作　　者：Ademola Adebiyi Oyinbade Kehinde Ademola Imoukhuede Abdulateef Olufolahan Akadiri Ademola Adebiyi Oyinbade;Kehinde Ademola Imoukhuede;Abdulateef Olufolahan Akadiri(Rufus Giwa Polytechnic, Owo, Nigeria)

机构地区：[1]Rufus Giwa Polytechnic, Owo, Nigeria

出　　处：《World Journal of Engineering and Technology》2023年第2期199-207,共6页世界工程和技术（英文）

摘　　要：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%.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%.

关 键 词：Tensile Strength PREDICT Steel Fuzzy Logic Tungsten Inert Gas Welding 

分 类 号：TG1[金属学及工艺—金属学]