The Use of Fuzzy Logic in Predicting Percentage (%) Dilution of Weld during Tig Welding Process

التفاصيل البيبلوغرافية
العنوان: The Use of Fuzzy Logic in Predicting Percentage (%) Dilution of Weld during Tig Welding Process
المؤلفون: J. Achebo, S. Nweze
المصدر: Materials Sciences and Applications. 10:406-422
بيانات النشر: Scientific Research Publishing, Inc., 2019.
سنة النشر: 2019
مصطلحات موضوعية: 010302 applied physics, Materials science, Gas tungsten arc welding, Process (computing), Mechanical engineering, 02 engineering and technology, Process variable, Welding, 021001 nanoscience & nanotechnology, 01 natural sciences, Defuzzification, Fuzzy logic, Dilution, law.invention, law, 0103 physical sciences, 0210 nano-technology, Voltage
الوصف: Welding operation of metals, gives rise to high temperature that results in melting of mating parts. The final composition of the joints formed in terms of its microstructure and properties at the fusion zone depends greatly on the degree of dilution of the weld. With an expert prediction technique, it may be possible to predict even before weld, the integrity of weld joint from the proposed process parameter. The aim of this study is to predict the percentage dilution (%D) of TIG mild steel welds using fuzzy logic. In this study, the weld specimen was produced using the TIG welding process guided by the central composite experimental design and thereafter percentage dilution (%D) was measured and fed to the fuzzy logic software. The process parameters include the voltage, current, gas flow rate and welding speed. The results obtained showed that the fuzzy logic tool is a good predictive tool and the model developed has proven to be very efficient in handling works of this nature, thereby saving time, energy and money wasted in pre-welding procedures. It would be encouraging to compare other quality parameters with process parameters to see how it can further help in quality improvement.
تدمد: 2153-1188
2153-117X
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::618df8daf5046547c38a3d9d41960aa0
https://doi.org/10.4236/msa.2019.105030
حقوق: OPEN
رقم الأكسشن: edsair.doi...........618df8daf5046547c38a3d9d41960aa0
قاعدة البيانات: OpenAIRE