Modeling of Extrusion Process and Application of Taguchi Method and Anova Analysis for Optimization the Parameters

Hosseini, Seyed Abbas; Farhangdoost, Khalil; Manoochehri, Mohsen

doi:10.5755/j01.mech.18.3.1881

Cited by 3 publications

(2 citation statements)

References 6 publications

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“…Fig. 8 clearly shows that the residues close to each other are correlated and therefore not independent [22][23][24]. While determining the optimum bending parameters from the S/N ratio obtained with Taguchi method, the relationship between the bending parameters was determined using the analysis of variance.…”

Section: Interaction Plot For S N Ratiosmentioning

confidence: 99%

Optimization of Spring Back in Air V Bending Processing using Taguchi and RSM Method

Özdemir

2020

mech

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In this study, springback behaviour of Dp600 (Dual Phase Steel) sheet material was investigated using air V bending technique. As bending parameters, four different punch tip radii and four different sheet thicknesses were used. The springback values obtained from the experiments were compared with each other. At the same time, the experimental data were analysed with Response Surface Method (RSM) and Taguchi (L16) orthogonal array. The experimental data and the simulation results were found to be consistent. The signal-to-noise (S/N) ratio is used to determine the most appropriate parameter of minimum springback behaviour. Additionally, it is possible to estimate the optimal combination of the bending parameters. The signal-to-noise (S/N) ratio and the design of experiment (DOE) were utilised for the analysis of the experimental results. It was determined that the effect of these parameters on the air V bending process was based on springback behaviours.

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Section: Interaction Plot For S N Ratiosmentioning

confidence: 99%

Optimization of Spring Back in Air V Bending Processing using Taguchi and RSM Method

Özdemir

2020

mech

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“…In addition to identifying the ideal process parameters, Hosseini et al [18] investigated the impact of extrusion process parameters on the response of extrusion force. The dies with different die angles (5, 7.5, 10, 12.5and 15) were considered to know the influence of die angle.…”

Section: Introductionmentioning

confidence: 99%

Experimental investigation on the effect of process variables for the quality characteristics of AA 2024 processed in cold extrusion

K.A. Francy,

C.S. Rao

2023

JMES

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Extrusion process has many applications in manufacturing industries due to its ability to produce products of high quality. Extrusion process can be classified into hot extrusion and cold extrusion. The cold forward extrusion is carried out at ambient temperature and has the additional benefit of improved mechanical characteristics. The metarial is compressed under intense pressure through a die orifice with a specific shape during the extrusion process. This process is effected by a few process variables, including die angle, punch speed, and lubrication are in greater extent towards the extrusion force requirement, microstructure and the product quality. Hence, the present experimental work focuses on extrusion of circular billet to produce cylindrical rod. Studying the behaviour of the material and the importance of the input process parameters during the cold extrusion process is the primary goal of this work. The experiments are carried out with AA 2024 alloy because of its wide applications in navy and aircraft structures. The varying die angles (10°, 20° & 30°) as well as punch speed (1.6 mm/min, 3.2 mm/min and 4.8 mm/min) and lubricants (molybdium sulphide (MoS2), zinc stearate and grease) chosen as input parameters. The out put responses of this extrusion process are extrusion force, displacement, time and surface roughness. Extrusion forces are calculated based on flow stress curves at the locations of greatest elastic deformation. The results shows that increasing the punch speed and die angle increases the extrusion force. The microstructure evolutions and grain refinement at different die angles are examined using electron back scatter diffraction analysis. At 30° die angle, the microstructure showed grain refinement. It is also noted that the damage is significant at 30° die angle with a punch speed above 4.8 mm/min.

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Optimization of input process parameters for Al 2024 alloy in cold extrusion process

Anupama Francy,

Sai Sudheer,

Naga Krishna

et al. 2023

Materials Today: Proceedings

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Modeling of Extrusion Process and Application of Taguchi Method and Anova Analysis for Optimization the Parameters

Cited by 3 publications

References 6 publications

Optimization of Spring Back in Air V Bending Processing using Taguchi and RSM Method

Optimization of Spring Back in Air V Bending Processing using Taguchi and RSM Method

Experimental investigation on the effect of process variables for the quality characteristics of AA 2024 processed in cold extrusion

Optimization of input process parameters for Al 2024 alloy in cold extrusion process

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