Prediction model of surface roughness parameters of structural steel created by plasma arc cutting via full factor experiment

Duplák, Ján; Hatala, Michal; Dupláková, Darina; Botko, František

doi:10.1002/mawe.201900032

Cited by 9 publications

(5 citation statements)

References 17 publications

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“…Then, Equations ( 11)- (15) were used to find the R j and S j values. Using these values, the Q i Vikor index was calculated using Equation (16). Figure 7 shows the S/N ratio graph.…”

Section: Vikormentioning

confidence: 99%

“…Thanks to the lubricating properties of MWCNTs in different proportions added to the composite, it has been observed that these reduce delamination by improving some situations such as fiber bending and shearing, and plastic deformation that occur during drilling. Therefore, to acquire a good result, it is necessary to better understand both the material properties and the machining process [15][16][17].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Optimization of Drilling Parameters in Drilling of MWCNT-Reinforced GFRP Nanocomposites Using Fuzzy AHP-Weighted Taguchi-Based MCDM Methods

Fedai

2023

Processes

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Many problems such as delamination, cracking, fiber tearing, ovality, and surface roughness are encountered in the drilling of glass-fiber-reinforced composite (GFRP) materials. In this study, the percentage of multi-walled carbon nano tube (MWCNT), cutting tool type, feed rate, and cutting speed were selected as control factors during the drilling of MWCNT-reinforced GFRP nanocomposites. The quality characteristics of the drilling process were determined as surface roughness, delamination, torque, and thrust force. The experiments were carried out in accordance with the Taguchi L27 orthogonal array. The lowest values obtained because of the experiments were Ra = 4.95 µm, Dm = 1.099, T = 14.78 N, and F = 44.24 N, respectively. However, since each of these outputs were obtained from different experimental trials, different multi-criteria decision-making (MCDM) methods were used to optimize all outputs at the same time. First, the criteria were weighted using the fuzzy AHP method, and then the outputs were optimized using multi-criteria decision-making methods (i.e., GRA, WASPAS and VIKOR). Very close optimal ranking was obtained in all three methods. The best results were obtained for Ra = 4.86 µm, Dm = 1.13, T = 55.57 N, and F = 48.00 N. In the next step, the performance values obtained from each MCDM method were re-optimized using the Taguchi S/N ratio method. By comparing between these models, a single optimal condition for drilling is proposed. Accordingly, A2B3C1D1 (Ra = 4.86 µm, Dm = 1.10, T = 17.47 N and F = 48.33 N) for FAHP-GRA and FAHP-WASPAS and A2B3C2D2 (Ra = 5.02 µm, Dm = 1.09, T = 37.19 N and F = 45.01 N) for FAHP-VIKOR were determined as the best performing experiments. Finally, validation tests were conducted to compare the performance of the experiments. As a result, the FAHP-GRA and FAHP-WASPAS optimization with Taguchi S/N gave an unweighted improvement of 82.9% and a weighted improvement of 10.04% compared to the results of the experiment with MCDM. Compared to the results of the experiments with MCDM, S/N FAHP-VIKOR provided an unweighted improvement of 52.75% and a weighted improvement of 8.19%. According to the results obtained, for this study, FAHP-GRA and FAHP-WASPAS are more effective optimization methods than FAHP-VIKOR.

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“…Then, Equations ( 11)- (15) were used to find the R j and S j values. Using these values, the Q i Vikor index was calculated using Equation (16). Figure 7 shows the S/N ratio graph.…”

Section: Vikormentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimization of Drilling Parameters in Drilling of MWCNT-Reinforced GFRP Nanocomposites Using Fuzzy AHP-Weighted Taguchi-Based MCDM Methods

Fedai

2023

Processes

View full text Add to dashboard Cite

show abstract

“…Most of the previous research on plasma arc cutting has been aimed at improving the cutting efficiency of metal sheets. Parameters such as operating current, gas flow rate, and ignition distance are usually treated as variable parameters [10][11]. The dimensional accuracy of the kerf, the surface quality, and the heat-affected area are often used as evaluation indicators [12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Study of Plasma Arc Underwater Penetration Processes in Steel Structures Covered with Non-conductive Materials

Liu,

Wang,

et al. 2023

J. Phys.: Conf. Ser.

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Recently, plenty of offshore platforms have faced decommissioning. Offshore steel structures covered with rust, mud, and barnacles require suitable cutting methods for their removal. The non-transferred plasma arc is highly efficient in cutting both conductive and non-conductive materials and is expected to play an important role in offshore demolition operations. This work aims to investigate the underwater penetration process of non-transferred plasma arcs on steel structures covered with non-conductive substances. The workpiece consisted of a 5 mm cement layer and a 10 mm steel plate, whose removal mass and hole morphology were recorded at several moments. It was found that the hole of the cement layer was larger than that of the steel plate, while the mass removal rate of the steel plate was much higher than that of the cement layer. The hole in the cement layer gradually changes from an inverted cone to a drum, and the hole in the steel plate is always an inverted cone. A combined heat source model with time variation is proposed based on the experimental results, and a 2D axisymmetric simulation model is developed. The error between the simulated and experimental hole dimensions was within 3.1%, proving that the proposed heat source model can reflect the heat process of the workpiece well.

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“…It appears that the WEDM process can enhance or degrade the tribological characteristics of the machined surface of the component. Selecting optimum process parameters and materials for achieving a better machined surface is always challenging [22,23]. AISI P20 tool steel is a specialpurpose tool steel that is used to produce dies and fixtures.…”

Section: Introductionmentioning

confidence: 99%

Effect of grey relational optimization of process parameters on surface and tribological characteristics of annealed AISI P20 tool steel machined using wire EDM

Priyadarshini

Vishwanatha

Biswas

et al. 2022

Int J Interact Des Manuf

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To increase the productivity and quality of the machined components, wire electro-discharge machine parameters such as cutting speed, kerf width, and surface roughness are often optimized. The Wire-electro discharge machining process generates a much higher temperature at the wire-work piece interface which can potentially change the metallurgical characteristics of the machined surface. This paper studies the changes in the tribology of surface and sub-surface of the workpiece due to the initial and optimized wire-electro discharge machine parametric setting using grey relational analysis while machining sub-cooled AISI P20 tool steel. It is concluded that the optimum parametric setting to obtain a better cutting speed, kerf width, and surface roughness using grey relational analysis, which improves the productivity and quality of the component, also produces a thicker recast layer. The wear test revealed that the surface machined with an optimized parametric setting gives higher wear resistance. Detailed scanning electron microscopy explains the characteristics of the recast layer and micro-hardness explains the surface hardenability of tool steel, which is a result of martensitic transformation through rapid cooling, formed heat affected zone, and increase in oxygen content on the surface. The wear test proved that the recast layer helps in improving the wear resistivity of tool steel. The methodology of the hardening of the surface and the sub-surface layer can strengthen the application of components.

show abstract

Prediction model of surface roughness parameters of structural steel created by plasma arc cutting via full factor experiment

Cited by 9 publications

References 17 publications

Optimization of Drilling Parameters in Drilling of MWCNT-Reinforced GFRP Nanocomposites Using Fuzzy AHP-Weighted Taguchi-Based MCDM Methods

Optimization of Drilling Parameters in Drilling of MWCNT-Reinforced GFRP Nanocomposites Using Fuzzy AHP-Weighted Taguchi-Based MCDM Methods

Study of Plasma Arc Underwater Penetration Processes in Steel Structures Covered with Non-conductive Materials

Effect of grey relational optimization of process parameters on surface and tribological characteristics of annealed AISI P20 tool steel machined using wire EDM

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