Experimental Analysis and Prediction of Springback in V-bending Process of High-Tensile Strength Steels

Wasif, Muhammad; Iqbal, Syed Amir; Tufail, Muhammad; Karim, Hassan

doi:10.1007/s12666-019-01843-5

Cited by 11 publications

(12 citation statements)

References 19 publications

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“…5b. Whereas, in case of acute and obtuse angle bents, the dominance of tensile residual stresses causes the positive springback as reported in the previous research [4].…”

Section: Analysis Of Springbacksupporting

confidence: 64%

“…Whereas, the same geometry blanks, when bent with the less amount of load (30 kg/cm 2 ), possess lower springback (see curves C1, C2, C7 and C8). Therefore, it can be inferred that the blanks bent to acute angles possess higher springback, while bent with larger load possess negative springback as discussed in the earlier literature [4]. Variation in springback in the figure with respect to the thickness is insignificant as clear by the ANOVA (Table 3).…”

Section: Analysis Of Springbacksupporting

confidence: 52%

“…In high-tensile-strength sheet metals, the springback increases with the increase in thickness and reduces with the increase in width. The highest springback in such sheet metals is maximum in case of bending in acute angle [4]. It has also been reported that the negative springback exists in the high-tensile-strength sheet metals, which can be reduced by applying higher load, holding time and with the increased number of bending stages [4].…”

Section: Introductionmentioning

confidence: 97%

“…Geometrical and mechanical properties of the blank, which influences the springback, include width, thickness and bend angle, whereas mechanical properties of blanks include tensile strength, modulus of elasticity, etc [2,4]. Machine tool parameters which influence the springback are magnitude of load, types of load, number of stages, holding time, punch and die geometry, etc [1,2,4]. In high-tensile-strength sheet metals, the springback increases with the increase in thickness and reduces with the increase in width.…”

Section: Introductionmentioning

confidence: 99%

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Investigation and Optimization of Parameters for the Reduced Springback in JSC-590 Sheet Metals Occurred During the V-Bending Process

Wasif

Fatima

Ahmed

et al. 2021

Trans Indian Inst Met

Self Cite

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A V-bending experimental setup has been designed, to analyze the impact of blank geometry and process parameters over the springback in hot-rolled hightensile-strength sheet metals (JSH590 steel). In this setup, a hydraulic press having the ability to vary load and holding time has been used. JSH590 sheet-metal blanks with varying geometric parameters are bend to acute, right and obtuse angles. Springback in each blank is determined which is found to be varying due to the different combinations of blank geometry and process parameters. To analyze the significance of thickness, width, bend angle, applied load and holding time, analysis of variance is applied, regression model is also derived relating the parameters with the springback, and finally, Genetic Algorithm has been applied to optimize the process parameters for the minimum springback. The outcomes of the research can be used in the industry, to evaluate the outcome in very-high-tensile-strength steel sheets.

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“…5b. Whereas, in case of acute and obtuse angle bents, the dominance of tensile residual stresses causes the positive springback as reported in the previous research [4].…”

Section: Analysis Of Springbacksupporting

confidence: 64%

Section: Analysis Of Springbacksupporting

confidence: 52%

Section: Introductionmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Investigation and Optimization of Parameters for the Reduced Springback in JSC-590 Sheet Metals Occurred During the V-Bending Process

Wasif

Fatima

Ahmed

et al. 2021

Trans Indian Inst Met

Self Cite

View full text Add to dashboard Cite

show abstract

“…Automobile original equipment manufacturers (OEMs) around the globe use hightensile strength steel sheets because it provides increased strength-to-weight ratio and corresponding toughness to vehicles. Due to this reason, it is primarily used in structural parts as it provides safety and improved fuel efficiency [2]. Parts made of sheet metals are manufactured by various processes like piercing, drawing, shaping, bending, etc.…”

Section: Introductionmentioning

confidence: 99%

Machine Learning for the Prediction of Springback in High Tensile Strength Steels after V-Bending Process Using Tree-Based Learning

Baig

Wasif

Fatima

et al. 2021

Preprint

Self Cite

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Sheet metal bending is a typical operation and springback is an unintended consequence of this operation. Since it causes fitting issues in the assembly, which leads to quality problems, anticipating it long before the bending operation is done is essential in today's production, so that machining parameters can be adjusted accordingly. In order to predict springback with minimum errors, this paper presents the idea for the development of machine learning models using tree-based learning algorithms (A class of machine learning algorithms). Tree-based learning algorithms are employed because they are precise, consistent, and easy to understand. Experimental studies provided the data for training and testing the models. The model's input parameters were sheet Material, Thickness, Width, Initial Angle (Desired angle), and Machine used to perform the bending. Following the training and testing of different tree-based learning algorithms, the results were evaluated using MAE and MSE. It was determined that Gradient boosting algorithms (a class of tree-based learning) gave the best results. Later on further evaluation of algorithms, it was found that LightGBM produced the best results, with MAE and MSE of 0.41 and 0.25, respectively.

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Experimental comparison of straight flanging and rotary die bending based on springback

Livatyalı

Turan

Birol³

et al. 2022

Int J Adv Manuf Technol

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Springback in sheet bending is a well-de ned phenomenon; however, variation of springback is di cult to control causing quality problems in especially mass-produced goods such as home appliances. As an alternative to straight anging, the rotary die bending process offers reduced springback as well as reduced geometric variation; however, there is little knowledge in the literature. The effects of process parameters on the springback behavior of straight anging and rotary die bending as applied to home appliance side panels are investigated experimentally. For each ange bending method, effects of die radius, punch-die clearance, rolling direction, ange length, and material supplier on springback are tested on EN DC01 carbon and SAE 430 stainless steel sheets. A full factorial experimental design was applied to investigate the factor interactions as well as the main effects using ANOVA. In both methods, die radius was the most dominant factor on springback, clearance being the second, and the inevitable material property variations being the third one. Nevertheless, in rotary die bending, springback values were smaller with signi cantly less scatter compared to straight anging. Consequently, rotary die bending is a much more preferable process especially in mass production performed with narrow pro t margins.

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Experimental Analysis and Prediction of Springback in V-bending Process of High-Tensile Strength Steels

Cited by 11 publications

References 19 publications

Investigation and Optimization of Parameters for the Reduced Springback in JSC-590 Sheet Metals Occurred During the V-Bending Process

Investigation and Optimization of Parameters for the Reduced Springback in JSC-590 Sheet Metals Occurred During the V-Bending Process

Machine Learning for the Prediction of Springback in High Tensile Strength Steels after V-Bending Process Using Tree-Based Learning

Experimental comparison of straight flanging and rotary die bending based on springback

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