Studies on the Parametric Effects of Plasma Arc Welding of 2205 Duplex Stainless Steel

Bharathi, R.; Shanmugam, N. Siva; Kannan, Rajesh; Vendan, S. Arungalai

doi:10.1515/htmp-2016-0087

Cited by 13 publications

(3 citation statements)

References 10 publications

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“…Shielded metal arc welding (SMAW) [5], [6], submerged arc welding (SAW) [7], gas tungsten arc welding (GTAW) [5], [8], laser beam welding (LBW) [9], [10], plasma arc welding (PAW) [11], fluxcored arc welding (FCAW) [12], electron beam welding (EBW) [13], and friction assisted welding [14] are just a few of the processes that have been used to weld DSS by numerous researchers and engineers. However, a common processing technique that is frequently used in the production of DSS for engineering applications is fusion welding [15].…”

Section: Figurementioning

confidence: 99%

Investigation of mechanical, microstructure, and corrosion properties of duplex stainless steel joint for natural gas processing facilities

Pamuji

Hakim²,

Sutrisna

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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Duplex stainless steel is an exotic material known for its excellent corrosion resistance and mechanical properties due to the presence of a two-phase structure that is quite balanced between ferrite and austenite, making it one of the top choices for the oil and gas industry. In this paper, we will discuss the process and investigation of the welding results of the A/SA 790 UNS 31803 duplex pipe joint which is connected using the gas tungsten arc welding (GTAW) process for gas purification process applications. The welding process and qualification is based on the ASME BPVC Sec code. IX was then tested to obtain information on the characteristics of the mechanical properties, microstructure, and corrosion resistance of the resulting joints. Heat input in the welding process is a crucial factor that determines the equilibrium of the ferrite and austenite phases which then correlates with the mechanical properties and corrosion resistance of the joint. Based on the microstructural analysis, there was a decrease in the ferrite phase in the weld metal, but it was still within the required limits. Furthermore, the results of the mechanical properties test showed that the tensile strength of the joint was greater than the tensile strength of the base metal and no open discontinuity was observed in the bending test. The corrosion test showed no signs of pitting corrosion with a weight loss value of 1.7 g/m2.

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Section: Figurementioning

confidence: 99%

Investigation of mechanical, microstructure, and corrosion properties of duplex stainless steel joint for natural gas processing facilities

Pamuji

Hakim²,

Sutrisna

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

View full text Add to dashboard Cite

show abstract

“…Because PAC is a highly non-linear and complex machining process governed by numerous processing parameters, a small deviation in process parameter can drastically affect the quality and performance characteristics of machined components. Recently, some researchers have utilized metaheuristic algorithms such as GA [ 40 , 41 , 42 ] and the whale optimization algorithm [ 43 ] for effective optimization of PAC processes and their characteristics. However, the artificial bee colony algorithm (ABC) has not been utilized previously to perform optimization studies on ABC processes.…”

Section: Introductionmentioning

confidence: 99%

A Hybrid Approach of ANFIS—Artificial Bee Colony Algorithm for Intelligent Modeling and Optimization of Plasma Arc Cutting on Monel™ 400 Alloy

et al. 2021

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This paper focusses on a hybrid approach based on genetic algorithm (GA) and an adaptive neuro fuzzy inference system (ANFIS) for modeling the correlation between plasma arc cutting (PAC) parameters and the response characteristics of machined Monel 400 alloy sheets. PAC experiments are performed based on box-behnken design methodology by considering cutting speed, gas pressure, arc current, and stand-off distance as input parameters, and surface roughness (Ra), kerf width (kw), and micro hardness (mh) as response characteristics. GA is efficaciously utilized as the training algorithm to optimize the ANFIS parameters. The training, testing errors, and statistical validation parameter results indicated that the ANFIS learned by GA outperforms in the forecasting of PAC responses compared with the results of multiple linear regression models. Besides that, to obtain the optimal combination PAC parameters, multi-response optimization was performed using a trained ANFIS network coupled with an artificial bee colony algorithm (ABC). The superlative responses, such as Ra of 1.5387 µm, kw of 1.2034 mm, and mh of 176.08, are used to forecast the optimum cutting conditions, such as a cutting speed of 2330.39 mm/min, gas pressure of 3.84 bar, arc current of 45 A, and stand-off distance of 2.01 mm, respectively. Furthermore, the ABC predicted results are validated by conducting confirmatory experiments, and it was found that the error between the predicted and the actual results are lower than 6.38%, indicating the adoptability of the proposed ABC in optimizing real-world complex machining processes.

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“…The PCA integrated with Taguchi approach was recommended to investigate the pulse on/off time, particle size, wire tension volume fraction, wire wear rate, surface roughness and recast layer thickness during machining in wire EDM [19]. In this way, advanced modelling techniques like support vector machine, PSO, RSM, regression and analysis have been employed in research area [20][21][22][23]. In the literature survey based has been to investigate wire EDM performance and analysis material surface of iron-nickel-chromium alloy through the hybrid optimization techniques (Taguchi and ANFIS).…”

Section: Introductionmentioning

confidence: 99%

Influence of optimization techniques and nano surface coating materials on microstructure of iron-nickel-chromium alloy using wire EDM process

Selvabharathi¹,

Srinivasan

Sivaprakasam

2021

Materials Science-Poland

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This research proposes developing the new hybrid optimization techniques for getting optimized wire EDM machining parameters and analysing the performance and microstructure of hybrid treatment alloy 20 material (high-velocity oxygen fuel spraying and plasma nitriding on iron-nickel-chromium alloy) after machining in wire EDM. The devising optimization is carried out using back-propagation neural networks (BPNN) integrated with fuzzy logic techniques. Taguchi L27 method uses optimized parameters in 3 factors and 3 level methods to BPNN wire EDM processing parameters. Those processing parameter errors are controlled by applying fuzzy logic system in hybrid optimization techniques. The hybrid optimization provides best results (±5% error) while comparing other techniques. This proposal was started with research review of defined factors and BPNN parameters level for hidden layer number, learning algorithm, neurons numbers, and so on. The analysis of variance (ANOVA), analysis of means (ANOM) and signal to noise (S/N) ratio have been used to identify Taguchi results. The BPNN techniques have been employed significantly to tackle hidden layer's uncertain parameter structures. The fuzzy logic controllers in general have been designed engaging the relations between system performance and factor through error method calculation. The microstructure analysis showed that the no evidence was found of recast layer formation on hybrid treated material after machining in wire EDM due to compressive stress and compound layer on material surface.

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Studies on the Parametric Effects of Plasma Arc Welding of 2205 Duplex Stainless Steel

Cited by 13 publications

References 10 publications

Investigation of mechanical, microstructure, and corrosion properties of duplex stainless steel joint for natural gas processing facilities

Investigation of mechanical, microstructure, and corrosion properties of duplex stainless steel joint for natural gas processing facilities

A Hybrid Approach of ANFIS—Artificial Bee Colony Algorithm for Intelligent Modeling and Optimization of Plasma Arc Cutting on Monel™ 400 Alloy

Influence of optimization techniques and nano surface coating materials on microstructure of iron-nickel-chromium alloy using wire EDM process

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