Influence of process parameters on the cup drawing of aluminium 7075 sheet

Venkateswarlu, G.; Davidson, M. J.; Tagore, G.R.N.

doi:10.4314/ijest.v2i11.64553

Cited by 30 publications

(26 citation statements)

References 20 publications

(12 reference statements)

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“…In this present investigation, Pareto ANOVA technique [19] was employed, which determines the importance of each process parameter of the process. The Pareto ANOVA technique is a quick and easy method to analyse the results of the parametric design and also not required to conduct the F-test.…”

Section: Anovamentioning

confidence: 99%

Multi Objective Optimisation of Turning Process Parameters on EN 8 Steel using Grey Relational Analysis

Sridhar¹,

Venkateswarlu²

2014

IJEM

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The objective of the present paper is to optimize the machining parameters for turning of EN8steel on lathe machine using a combination of Taguchi and Grey Relational Analysis to yield minimum cutting forces and surface roughness. The process parameters such as rotational speed, feed, depth of cut and cutting fluid have been selected. In this study, the experiments were carried out as per Taguchi experimental design and L 9 orthogonal array was used. Analysis of variance (ANOVA) was also used to find out the most influence of processing parameters on the responses. The regression equations were also established between the process parameters and responses. The results indicate that the depth of cut is the most significant factor affecting the cutting force and surface roughness followed by a feed, speed and cutting fluid.

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Section: Anovamentioning

confidence: 99%

Multi Objective Optimisation of Turning Process Parameters on EN 8 Steel using Grey Relational Analysis

Sridhar¹,

Venkateswarlu²

2014

IJEM

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“…The L9 design sheet and output of each experiment is given in Table 2. (Venkateswarlu et al 2010). It was easier to analyze the results using both S/N ratio and Pareto ANOVA; hence, the optimum settings of the parameters were detected.…”

Section: Implementation Of Taguchi Methodsmentioning

confidence: 99%

“…Here, Pareto ANOVA was used to determine the contribution of each process parameter to the TC of OSB. Pareto ANOVA does not use an F-test, but it identifies the important parameters and determines the percent contribution of each parameter (Venkateswarlu et al 2010;Tiryaki et al 2014). To obtain the Pareto ANOVA of S/N ratio values, the overall mean of S/N ratios and the sum of squares due to variation about overall mean were calculated by Eqs.…”

Section: Fig 1 Types Of S/n Ratiomentioning

confidence: 99%

Optimization of Process Parameters in Oriented Strand Board Manufacturing by Taguchi Method

Hamzaçebi¹

2016

BioResources

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Optimization of process parameters in oriented strand board (OSB) manufacturing is a vital issue for improving product quality. In this study, the Taguchi method (TM) was applied to determine the effects of production factors such as adhesive ratio, press pressure, and pressing time on the thermal conductivity of OSB. Obtained results showed that adhesive ratio is the main factor affecting thermal conductivity. Press pressure and pressing time are the second and third most important factors influencing thermal conductivity, respectively. The study also identified the optimal values of factors that minimize thermal conductivity.

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“…Their simulation showed that use of the Variable Blank Holder Force technology could improve the LDR from 3 to 3.5, and could reduce the wall thinning ratio from 15.21% to 12.35%. Venkateswarlu et al [7] studied the microforming of circular cups using two different Al alloys. Their simulations using Deform-2D demonstrated that a greater cup depth was possible at elevated temperatures.…”

Section: Introductionmentioning

confidence: 99%

Simulation of defects in micro-deep drawing of an aluminium alloy foil

Hadi¹,

Yu²,

Lü³

2013

AIP Conference Proceedings

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Micro-forming refers to the application of conventional forming processes to manufacture products from ultra-thin sheet materials. While attempting to meet the increasing demand for cost-effective manufacturing of micro-formed components, it is very important to reduce the defects in the products. In this paper, we report a number of Finite Element (FE) simulations of the micro-deep drawing process with various sample thicknesses and eccentric distances. The simulations indicated that when the sample thickness is nearly equal to the gap between the plunger and the die, the sample is likely to develop fractures at the bottom corner. When the sample thickness is much smaller than the gap, wrinkling appears in the sample. If the sheet thickness is reduced, the wrinkles approach the bending zone. If the punch-die eccentricity is increased, the pressing process results in a defective product. The simulation results compared well with experimental results. This suggests that the computer simulations can be used to design future experiments. Abstract: Micro-forming refers to the application of conventional forming processes to manufacture products from ultra-thin sheet materials. While attempting to meet the increasing demand for cost-effective manufacturing of micro-formed components, it is very important to reduce the defects in the products. In this paper, we report a number of Finite Element (FE) simulations of the micro-deep drawing process with various sample thicknesses and eccentric distances. The simulations indicated that when the sample thickness is nearly equal to the gap between the plunger and the die, the sample is likely to develop fractures at the bottom corner. When the sample thickness is much smaller than the gap, wrinkling appears in the sample. If the sheet thickness is reduced, the wrinkles approach the bending zone. If the punch-die eccentricity is increased, the pressing process results in a defective product. The simulation results compared well with experimental results. This suggests that the computer simulations can be used to design future experiments.

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Influence of process parameters on the cup drawing of aluminium 7075 sheet

Cited by 30 publications

References 20 publications

Multi Objective Optimisation of Turning Process Parameters on EN 8 Steel using Grey Relational Analysis

Multi Objective Optimisation of Turning Process Parameters on EN 8 Steel using Grey Relational Analysis

Optimization of Process Parameters in Oriented Strand Board Manufacturing by Taguchi Method

Simulation of defects in micro-deep drawing of an aluminium alloy foil

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