Prediction of formability of MIG and TIG welded joints by Erichsen cupping test and fuzzy-logic technique

Q3 Materials Science
S. Dewangan, S. D. Kumar, S. Jha, Anand Prakash
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引用次数: 1

Abstract

The current investigation was carried out to evaluate the formability characteristics of tungsten inert gas (TIG) and metal inert gas (MIG) welded parts by conducting Erichsen tests. It is noted that in both the MIG and TIG welded parts, the fracture occurred irrespective of the sheet metal thickness. However, the formability of TIG welds was comparatively better than the MIG weld parts. Further, fuzzy-logic method was adopted to predict the Erichsen index value and compared with the experimental values. It was observed that fuzzy-logic predicted values were nearly accurate to the experimental ones, with a minor error of 1.4%. Fuzzy-logic technique is found to be a useful technique to predict the response and in saving time and costly trials on the shop floor, thus beneficial for industrial applications.
用Erichsen杯形试验和模糊逻辑技术预测MIG和TIG焊接接头的成形性
通过Erichsen试验,对钨极惰性气体保护焊(TIG)和金属极惰性气体焊(MIG)焊接件的成形性能进行了评价。值得注意的是,在MIG和TIG焊接零件中,无论金属板厚度如何,都会发生断裂。然而,TIG焊接的成形性相对来说比MIG焊接的零件要好。此外,采用模糊逻辑方法对Erichsen指标值进行了预测,并与实验值进行了比较。结果表明,模糊逻辑预测值与实验值几乎准确,误差为1.4%。模糊逻辑技术是一种有效的预测响应的技术,可以节省车间试验的时间和成本,有利于工业应用。
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来源期刊
International Journal of Materials Engineering Innovation
International Journal of Materials Engineering Innovation Materials Science-Materials Science (all)
CiteScore
1.70
自引率
0.00%
发文量
27
期刊介绍: IJMatEI is a multidisciplinary journal that will publish refereed high quality articles with special emphasis on research and development into recent advances in composites, ceramics, functionally graded materials, cellular materials and ecomaterials. IJMatEI fosters information exchange and discussion on all aspects of modern materials engineering, such as materials preparation and processing, relationships between structure (nano and micro) and properties (physical, chemical, mechanical, thermal, electrical and magnetic), as well as performance and technological applications for advanced industry.
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