Bonding characteristics of spheroidal graphite cast iron and mild steel using electron beam welding process

Hatate, Minoru; Shiota, Toshio; Abe, Nobuyuki; Amano, Masaharu; Tanaka, Toshio

doi:10.1016/j.vacuum.2003.12.097

Cited by 12 publications

(5 citation statements)

References 3 publications

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“…In general, cast irons are considered as a difficult material to weld due to their inherent brittleness as well as how their metallurgical structure is affected by the weld thermal cycle [11,13]. Unsatisfactory weldability of DCI in particular stems from formation of C-rich martensite, massive iron carbide in the HAZ and partial fusion zone [14].…”

Section: Analysis and Discussionmentioning

confidence: 99%

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Filler materials used to weld ductile cast iron – A review

Mphela

Phasha²,

Moema³

et al. 2022

MATEC Web Conf.

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Austempered ductile iron (ADI) is a new engineering material type which continue receiving increased attention in research and industry. Extensive research conducted so far has demonstrated that ADI has excellent property combination such as high strength-weight ratio, ductility and toughness, good fatigue strength, damping properties and wear resistance. As a result of to their exceptional mechanical property mix, fabrication simplicity, low cost and lowest weight per unit strength ratio compared to common steels, this family of ferrous cast alloys have begun replacing cast and forged steels in some engineering applications. However, a major limiting factor to widespread use of ADI in manufacturing industry remains its weldability, more especially during fabrication process. Current work presents a review of various filler materials (electrodes) used to weld ductile cast iron using two common industrial welding processes, namely, shielded metal arc welding (SMAW) and gas tungsten arc welding (GTAW). The successes as well as short-comings of these electrodes on weldability of ductile iron have been recorded and a clear need for an improved filler material is identified.

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Section: Analysis and Discussionmentioning

confidence: 99%

“…Several types of steel has been investigated by several researchers in attempt to improve weldability of DCI [11,13,[15][16][17][18]. The main driving force behind the desire to use steel electrodes in welding DCI is the low cost.…”

Section: Steel and Fe-based Alloys As Filler Materials For DCImentioning

confidence: 99%

Filler materials used to weld ductile cast iron – A review

Mphela

Phasha²,

Moema³

et al. 2022

MATEC Web Conf.

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“…Ductile iron is widely used in all directions because of its excellent mechanical properties such as fatigue resistance [1], wear resistance [2,3] and good casting performance [4,5] and of its low production cost [6,7]. In recent years, with the rapid development of infrastructure construction, the demand for ductile iron parts in wind power, high-speed railways, engineering machinery and other industries has gradually increased.…”

Section: Introductionmentioning

confidence: 99%

Mechanical properties prediction of ferrite ductile iron via machine learning

Gu,

Yao,

et al. 2023

Phys. Scr.

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The rapid development of the wind power industry requires ductile iron to maintain high toughness while improving strength. Machine learning offers the possibility to accelerate various aspects of material development and performance optimization. In this paper, we established a composition-property dataset for ferritic ductile iron, and a variety of machine learning algorithms are compared to construct a composition-property model for ferritic ductile iron finally. The composition is chosen as the model input, and the outputs are four properties: tensile strength, Brinell hardness, yield strength and elongation. The correlation coefficients of the models constructed are above 0.96, and the mean absolute percentage errors are below 5%. The mean relative error between the model predictions and the experimental values is 4.43%, which effectively verifies the reliability of the composition-properties model of ductile iron constructed. This paper also uses the machine learning model to predict the effect law of each element content on the mechanical properties of ductile iron, and uses thermodynamic prediction of phase composition to verify the reliability of the machine learning method to predict the mechanical properties of ductile iron, which provides strong guidance for the design of new ductile iron with high strength and high plasticity at room temperature.

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“…Desta forma, o preaquecimento pode prevenir a formação de trincas, reduzir tensões residuais e distorções e diminuir as taxas de resfriamento. Por outro lado, pode possibilitar o aumento da zona de fusão e da zona termicamente afetada [4,7,8]. Os processos de soldagem a arco elétrico com a utilização de eletrodos revestidos (SMAW), a soldagem a arco elétrico com a utilização de arame e uma fonte externa de gás de proteção (GMAW) e o processo de soldagem com chama oxiacetilênica (OFW) são, de acordo com a literatura, os mais aplicados na soldagem dos ferros fundidos [4].…”

Section: Introductionunclassified