DETERMINING THE TENSILE STRENGTH OF PARTS IN GAS TUNGSTEN ARC WELDING WITH CONTROLLED FEEDS USING ARTIFICIAL NEURAL NETWORKS

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MARAMI G.R.; MOSTAFAPOUR ASL A.; MESHKABADI R.

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Journal: Journal of Modern Processes in Manufacturing and Production Year:2010 | Volume:1 | Issue:3 Page(s): 19-24

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Title

DETERMINING THE TENSILE STRENGTH OF PARTS IN GAS TUNGSTEN ARC WELDING WITH CONTROLLED FEEDS USING ARTIFICIAL NEURAL NETWORKS

Author(s)

MARAMI G.R. | MOSTAFAPOUR ASL A. | MESHKABADI R. | Issue Writer Certificate

Keywords

GAS TUNGSTEN ARC WELDINGQ3

TENSILE STRENGTHQ2

NEURAL NETWORKSQ2

MICROCONTROLLERQ2

Abstract

GAS TUNGSTEN ARC WELDING (GTAW), is one of the important methods used in industry and it is an arc welding process that uses a no consumable tungsten electrode to produce the weld. GTAW is most commonly used to weld thin sections of stainless steel and non-ferrous metals such as aluminum, magnesium, and copper alloys. In this research the authors have designed and manufactured an automatic welding arm in which its feed is controlled by a MICROCONTROLLER. In different conditions like feed, ampere and pre-heat temperature practical tests have done and TENSILE STRENGTH of the welded parts has measured. Then by using this data an artificial neural network designed and tested. The inputs of the network are adjustable parameters of the welding process and the output is the TENSILE STRENGTH. The results show that by using NEURAL NETWORKS we can determine the TENSILE STRENGTH precisely before the process.

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APA: Copy

MARAMI, G.R., MOSTAFAPOUR ASL, A., & MESHKABADI, R.. (2010). DETERMINING THE TENSILE STRENGTH OF PARTS IN GAS TUNGSTEN ARC WELDING WITH CONTROLLED FEEDS USING ARTIFICIAL NEURAL NETWORKS. JOURNAL OF MODERN PROCESSES IN MANUFACTURING AND PRODUCTION (JOURNAL OF MODERN PROCESSES OF MANUFACTURING ENGINEERING), 1(3), 19-24. SID. https://sid.ir/paper/186439/en

Vancouver: Copy

MARAMI G.R., MOSTAFAPOUR ASL A., MESHKABADI R.. DETERMINING THE TENSILE STRENGTH OF PARTS IN GAS TUNGSTEN ARC WELDING WITH CONTROLLED FEEDS USING ARTIFICIAL NEURAL NETWORKS. JOURNAL OF MODERN PROCESSES IN MANUFACTURING AND PRODUCTION (JOURNAL OF MODERN PROCESSES OF MANUFACTURING ENGINEERING)[Internet]. 2010;1(3):19-24. Available from: https://sid.ir/paper/186439/en

IEEE: Copy

G.R. MARAMI, A. MOSTAFAPOUR ASL, and R. MESHKABADI, “DETERMINING THE TENSILE STRENGTH OF PARTS IN GAS TUNGSTEN ARC WELDING WITH CONTROLLED FEEDS USING ARTIFICIAL NEURAL NETWORKS,” JOURNAL OF MODERN PROCESSES IN MANUFACTURING AND PRODUCTION (JOURNAL OF MODERN PROCESSES OF MANUFACTURING ENGINEERING), vol. 1, no. 3, pp. 19–24, 2010, [Online]. Available: https://sid.ir/paper/186439/en

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