Research on Fuzzy Comprehensive Evaluation of Seam Quality in Double-Wire Double-Pulsed MIG High-Speed Welding

Xie, Huangsheng; Fu, Zongwen; Xue, Jiaxiang; Hu, Yu

doi:10.1007/978-981-15-7215-9_5

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Related Work In Fuzzy Logic Systems1

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2021

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“…Li et al [20] proposed a novel controlling mechanism for improving the fabrication accuracy rate with fuzzy logic inference. Xie et al [21] developed a comprehensive evaluation of welding quality using the fuzzy logic controller. The readers can find further detail on the arc-based welding process [22].…”

Section: Related Work In Fuzzy Logic Systemsmentioning

confidence: 99%

Prediction of weldment mechanical properties in GMAW with robot-assisted using fuzzy logic systems

Devendran¹,

Varthanan²

2021

Mater. Res. Express

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Welding operation decides the quality of product standards in all metal work products like automobiles, aerospace vehicles, and many more. The quality of the welding process is more reliable by automating the process with robots. In this research work, the GMAW operation is automated with the “Fanuc Robot Arc mate 100iC/12” robot. The material characteristics such as ultimate tensile strength, hardness, and impact strength of weldments are predicted using a fuzzy system using triangular membership function (TrMF) and trapezoidal membership function (TMF). The simulated results are validated by comparing with experimental work, the experiments are designed using orthogonal array L18, and material characteristics are studied using fractography test. The fuzzy system is trained with experimental results using the IF-Then rule base with the help of the L18 orthogonal array. The inference system has predicted the accuracy rate of weldment mechanical properties, showing a lower error rate.

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Section: Related Work In Fuzzy Logic Systemsmentioning

confidence: 99%