Parametric study and multi-objective optimization in single-point incremental forming of extra deep drawing steel sheets

Suresh, Kurra; Nasih, Hr.; Regalla, Srinivasaprakash; Gupta, Amit Kumar

doi:10.1177/0954405414564408

Cited by 23 publications

(16 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Step depth has the greatest impact on FT, which is due to great reduction in the number of contours as a result of increase in step depth and a corresponding decrease in the total length of the tool path. 29…”

Section: The Effect Of Forming Parameters On Spifmentioning

confidence: 99%

See 1 more Smart Citation

Achieving maximum dimensional accuracy and surface quality at the shortest possible time in single-point incremental forming via multi-objective optimization

Taherkhani

Basti

Nariman-Zadeh

et al. 2018

Proceedings of the Institution of Mechanical Engineers, Part B:

View full text Add to dashboard Cite

Single-point incremental forming is a novel and flexible method for producing three-dimensional parts from metal sheets. Although single-point incremental forming is a suitable method for rapid prototyping of sheet metal components, there are limitations and challenges facing the commercialization of this process. Dimensional accuracy, surface quality, and production time are of vital importance in any manufacturing process. The present study is aimed at selecting proper forming parameters to produce sheet metal parts which possess dimensional accuracy and good surface quality at the shortest time. Four parameters (i.e. tool diameter, tool step depth, sheet thickness, and feed rate) are chosen as design variables. These parameters are used for the modeling of the process using Group Method of Data Handing(GMDH) artificial neural networks. The data necessary for establishing empirical models are obtained from single-point incremental forming experiments carried out on a computer numerical control milling machine using central composite design. After the evaluation of the model accuracy, single- and multi-objective optimization are performed via genetic algorithm. The performance of the design variables of a tradeoff point corresponding to one of the experiments shows the efficiency and accuracy of the models and the optimization process. Considering the priorities of objective functions, a designer will be able to set proper process parameters.

show abstract

Section: The Effect Of Forming Parameters On Spifmentioning

confidence: 99%

“…which is referred to as the Kolmogorov–Gabor polynomial. 29 This full form of mathematical expression can be presented through the use of a system of partial quadratic polynomials consisting of only two variables (neurons) in the form of…”

Section: Modeling Using Gmdh-type Neural Networkmentioning

confidence: 99%

Achieving maximum dimensional accuracy and surface quality at the shortest possible time in single-point incremental forming via multi-objective optimization

Taherkhani

Basti

Nariman-Zadeh

et al. 2018

Proceedings of the Institution of Mechanical Engineers, Part B:

View full text Add to dashboard Cite

show abstract

“…Many studies have been conducted to study the incremental sheet forming (ISF) process. Kurra and Nasih [7] and Powers et al [8] analysed the influence of several process parameters, such as type of lubricant, step size, feed rate, tool diameter and spindle speed on surface roughness. They observed a decrease in surface roughness and tool diameter with decreasing step size, but the type of lubricant and feed rate had no significant effect on surface roughness.…”

Section: Introductionmentioning

confidence: 99%

Experimental Analysis of Single Point Incremental Forming of Truncated Cones in DC04 Steel Sheet

Krasowski

Kubit

Trzepieciński

et al. 2020

Advances in Materials Science

View full text Add to dashboard Cite

Experimental tests to form truncated cones were carried out on a 3-axis milling machine. 0.8-mm thick low-alloy DC04 steel sheets were used as test material. The profile tool-path trajectory was generated using the EDGECAM software. The slope angle and diameter of the base of the conical shaped drawpieces were 70°-72° and 65 mm, respectively. The drawpiece heights were up to 75 mm. The full synthetic lubricant 75W85 was used to reduce the frictional resistance. The effect of selected incremental forming parameters on the formability of the DC04 sheet and the susceptibility to crack formation have been analysed and discussed. It was found that the surface roughness of the workpiece is strongly influenced by step depth. By controlling the feed rate, it is possible to prevent failure of the material.

show abstract

“…Surface roughness decreases with increase in tool radius, a decrease in step depth and a decrease in sheet thickness. Lubrication has also influence on surface roughness, dry and cool lubricant increases roughness as compared to grease [14,15]. Roughness value also depends on tool path direction and is better in tool-advancing direction than perpendicular one [16].…”

Section: Introductionmentioning

confidence: 99%

Influence of process parameters on surface roughness and forming time of Al-1100 sheet in incremental sheet metal forming

Mohanty

Regalla

Rao

2019

JMES

View full text Add to dashboard Cite

Product quality and production time are critical constraints in sheet metal forming. These are normally measured in terms of surface roughness and forming time, respectively. Incremental sheet metal forming is considered as most suitable for small batch production specifically because it is a die-less manufacturing process and needs only a simple generic fixture. The surface roughness and forming time depend on several process parameters, among which the wall angle, step depth, feed rate, sheet thickness, and spindle speed have a greater impact on forming time and surface roughness. In the present work, the effect of step depth, feed rate and wall angle on the surface roughness and forming time have been investigated for constant 1.2 mm thick Al-1100 sheet and at a constant spindle speed of 1300 rpm. Since the variable effects of these parameters necessitate multi-objective optimization, the Taguchi L9 orthogonal array has been used to plan the experiments and the significance of parameters and their interactions have been determined using analysis of variance (ANOVA) technique. The optimum response has been brought out using response surfaces. Finally, the findings of response surface method have been validated by conducting additional experiments at the intermediate values of the parameters and these results were found to be in agreement with the predictions of Taguchi method and response surface method.

show abstract

Parametric study and multi-objective optimization in single-point incremental forming of extra deep drawing steel sheets

Cited by 23 publications

References 18 publications

Achieving maximum dimensional accuracy and surface quality at the shortest possible time in single-point incremental forming via multi-objective optimization

Achieving maximum dimensional accuracy and surface quality at the shortest possible time in single-point incremental forming via multi-objective optimization

Experimental Analysis of Single Point Incremental Forming of Truncated Cones in DC04 Steel Sheet

Influence of process parameters on surface roughness and forming time of Al-1100 sheet in incremental sheet metal forming

Contact Info

Product

Resources

About