Modeling of springback on air bending process of interstitial free steel sheet using multiple regression analysis

Narayanasamy, R.; Padmanabhan, P.V.A.

doi:10.1007/s12008-009-0059-7

Cited by 14 publications

(4 citation statements)

References 17 publications

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“…For adaptive controlling of the process, material properties are found using force displacement diagram at the early stage of the bending process [26,34,36,37,42,43]. The effect of material properties—such as yield strength, Young modulus, and strain hardening power—and process parameters—such as punch velocity, holding time at the end of the process, punch radius, die radius, sheet thickness, and die opening—on the air bending springback was studied using experimental and numerical procedures [44–53]. The effect of different process parameters on the springback relies on the material properties [48,49,51].…”

Section: Introductionmentioning

confidence: 99%

Simplified springback prediction in Al/PP/Al sandwich air bending

Mohammadi

Parsa

Aghchai

2014

Jnl of Sandwich Structures & Materials

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Al/PP/Al laminated sheets have shown promising properties for different applications from aeronautics to construction. In this paper, an easy and fast springback prediction of Al3105/polypropylene/Al3105 sandwich sheets in air bending process is presented. An analytical formulation for springback prediction is developed based on a wrap around assumption and primary bending theories. Numerical simulation and experiments were carried out for verifications for the effect of punch radius, die opening, and punch stroke on springback. Results show that with an increase in either punch stroke, punch radius or die opening, springback increases. Die opening was found to be the most influential parameter.

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Section: Introductionmentioning

confidence: 99%

Simplified springback prediction in Al/PP/Al sandwich air bending

Mohammadi

Parsa

Aghchai

2014

Jnl of Sandwich Structures & Materials

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“…This approach remains a popular technique for the prediction of the various bending characteristics. Narayanasamy and Padmanabhan used the multiple regression analysis for the springback prediction of interstitial free steel [1,2]. The finite element method in conjunction with orthogonal regression analysis has been implemented by Li et al [3] for the prediction of U-bending and deep drawing.…”

Section: Introductionmentioning

confidence: 99%

Two regression approaches for prediction of large radius air bending

et al. 2018

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The industrial importance of air bending applications with high-strength steels has increased in recent years. However, the limited cold formability of high-strength steels requires the application of punches with large radii. The usage of large radii tooling leads to a change of the loading scheme from traditional 3-point to 4-point bending. Therefore, the conventional formulas used for the prediction of 3-point bending operations fail to deliver accurate results. In the current work, two regression approaches are proposed to achieve an accurate prediction of industrially important bending parameters. The first model is based on phenomenological observations and fitting of well-established formulas. The second model utilizes the circular approximation model as base for the regression prediction. Large radius bending is used mostly for high-strength steels. Therefore, Strenx 700 MC and Strenx 1300 with thicknesses of 4 and 6 mm were used for the investigation. The following bending characteristics have been studied: position of contact points, bend allowance, bending force and springback. The predicted values are compared with the experimental results to assess the prediction accuracy of the proposed methods. Neither the phenomenological, nor the circular model delivers superior overall prediction quality for all output parameters, thus a combination of the two regression models is an attractive option for a better prediction of large radius air bending.To be able to reduce the post-forming operations, an accurate prediction of any forming process is required. A number of methods can be used for that purpose, but in this work, we focus on regression

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“…Springback refers to the shape discrepancy between the fully loaded and unloaded configurations. [2] Accurate prediction and controlling of spring back is essential in the design of tools for sheet metal forming. High strength steel sheets have played a key role in weight reduction for environmental considerations and improved crashworthiness in the automotive industry in recent years.…”

Section: Introductionmentioning

confidence: 99%

Bauschinger Effect in spring Back Prediction of High Strength Steel: A Theoretical Approach

K¹

2018

IJRASET

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Press formed components are in huge demand now a days. Especially high strength steels are widely acceptable by different industries because of their high weight to strength ratio. Due to Poor formability, it is quite difficult to work with high strength steels. Dimensional inaccuracy is main concern with the metals having poor formability which leads to springback. So for better control over dimensions especially in assembled component springback must be predicted in advance. Accurate Springback prediction is a very crucial for commercial aspect. Many of process parameter directly or indirectly influences the springback during forming process of high strength process. Bauschinger effect is one of parameter which play important role during forming process. Many researchers already develop springback prediction model but most of them avoid consideration of Bauschinger effect due to complexity involved in Bauschinger effect. The springback results obtained from such model are far away when we consider them with experimental results. So it is very crucial to consider Bauschinger effect during springback prediction which gives near by results with experimental results. This paper deals with theories of Bauschinger effect and its impact on springback prediction modelling. Keywords: Bauschinger effect, Springback, Bending, formability, High strength steel I. INTRODUCTIONHigh strength steel covered majority share in sheet metal industries in last few years due to its good strength to weight ratio. High strength and advance high strength steel are in high demand especially in automotive and aerospace industries. While dealing with sheet metal process, springback is the one of the most critical issue. High strength steel offers a higher rate of springback because springback rate is increase with material strength. Springback is a shape change of final geometry after removal of load. It is an elasticity driven incident which is mostly manages by the stress state obtained at the end of a deformation. Depending on the product geometry and deformation regime, there are several types of springback in sheet metal forming: bending, membrane, twisting and combined bending and membrane [1]. Springback is a phenomenon to describe the elastic recovery of sheet metal after a forming operation in which the strip unbends itself after forming. Sheet metals are prone to some amount of springback due to elastic deformation. Springback prediction is a major issue for the sheet metal manufacture to evaluate the desired shape of a product. Springback refers to the shape discrepancy between the fully loaded and unloaded configurations.[2] Accurate prediction and controlling of spring back is essential in the design of tools for sheet metal forming. High strength steel sheets have played a key role in weight reduction for environmental considerations and improved crashworthiness in the automotive industry in recent years. But at the same time sheet metal forming of high strength steel is itself a critical issue since such high stren...

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Modeling of springback on air bending process of interstitial free steel sheet using multiple regression analysis

Cited by 14 publications

References 17 publications

Simplified springback prediction in Al/PP/Al sandwich air bending

Simplified springback prediction in Al/PP/Al sandwich air bending

Two regression approaches for prediction of large radius air bending

Bauschinger Effect in spring Back Prediction of High Strength Steel: A Theoretical Approach

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