World Journal of Engineering Research and Technology (WJERT) has indexed with various reputed international bodies like : Google Scholar , Index Copernicus , Indian Science Publications , SOCOLAR, China , International Institute of Organized Research (I2OR) , Cosmos Impact Factor , Research Bible, Fuchu, Tokyo. JAPAN , Scientific Indexing Services (SIS) , Jour Informatics (Under Process) , UDLedge Science Citation Index , International Impact Factor Services , International Scientific Indexing, UAE , International Society for Research Activity (ISRA) Journal Impact Factor (JIF) , International Innovative Journal Impact Factor (IIJIF) , Science Library Index, Dubai, United Arab Emirates , Scientific Journal Impact Factor (SJIF) , Science Library Index, Dubai, United Arab Emirates , Eurasian Scientific Journal Index (ESJI) , Global Impact Factor (0.342) , IFSIJ Measure of Journal Quality , Web of Science Group (Under Process) , Directory of Research Journals Indexing , 

World Journal of Engineering
Research and Technology

( An ISO 9001:2015 Certified International Journal )

An International Peer Reviewed Journal for Engineering Research and Technology

ISSN 2454-695X

Impact Factor : 5.924

ICV : 79.45

News & Updation

  • Article Invited for Publication

    Article are invited for publication in WJERT Coming Issue

  • ICV

    WJERT Rank with Index Copernicus Value 79.45 due to high reputation at International Level

  • New Issue Published

    Its Our pleasure to inform you that, WJERT 1 November 2020 Issue has been Published, Kindly check it on http://wjert.org/home/current_issues

  • WJERT New Impact Factor

    Its our Pleasure to Inform you that WJERT Impact Factor has been increased from  5.549 to 5.924 due to high quality Publication at International Level

  • WJERT NOVEMBER ISSUE PUBLISHED

    NOVEMBER 2020 Issue has been successfully launched on 1 November 2020.

Indexing

Abstract

A FUZZY LOGIC APPROACH TO PREDICT FATIGUE IN TIG MILD STEEL WELDS

Oyinbade A. A., Achebo J. I. and Ozigagun A.*

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 present work, the fuzzy logic system was employed to predict welding fatigue. 30 sets of welding experiments was conducted and fatigue data was collected which was converted from crisp variable into fuzzy sets The result obtained showed that the fuzyy logic tool is a highly effective tool for predicting fatigue present in TIG mild steel weld having a coefficient of determination value of 99%

[Full Text Article]