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

Wasif, Muhammad; Fatima, Anis; Ahmed, Aqeel; Iqbal, Syed Amir

doi:10.1007/s12666-021-02357-9

Cited by 3 publications

(2 citation statements)

References 19 publications

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“…Araştırma sonucunda, genişlik ve bükülme geri yaylanma sonuçları üzerinde etkiliyken, kalınlığın etkisi önemsiz görülmüştür. Aşırı kuvvet uygulanmasının, sacın geri yaylanmasında olumsuz etkisi olduğu ve sacta çoğunlukla pozitif geri yaylanmalar görülmüştür [18]. Serbest bükmeye etki eden proses parametrelerinin incelendiği çalışmada farklı hızlardaki bükmelerde farklı geri yaylanma değerleri elde edilmiştir [19].…”

Section: Introductionunclassified

Experimental investigation of the effect of process parameters on springback behavior of SCGADUB1180 high strength sheet

KARABULUT¹,

Esen²

2023

Pamukkale J Eng Sci

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Dayanımı yüksek ve hafif yüksek mukavemetli çelikler, otomotiv sektöründe yaygın olarak kullanılmaktadır. Yüksek mukavemetli sacların şekillendirilmesinde geri yaylanma, yırtılma ve incelme kadar önemli bir problemdir. Bu çalışmada, SCGADUB1180 yüksek mukavemetli sacının çekme testleri yapılarak mekanik özellikleri tanımlanmış ve V büküm prosesinde, zımba hızı, kalıp açısı, ütüleme süresi, hadde yönü parametrelerinin geri yaylanmaya etkisi deneysel olarak araştırılmıştır. Literatürde, SCGADUB1180 yüksek mukavemetli sacının şekillendirilmesi ve geri yaylanma davranışları üzerine araştırmaya rastlanmamıştır. Yapılan deney sonuçları sonucunda, zımba hızı arttıkça 60°,90° ve 120° büküm açılarında geri yaylanma değerleri artmıştır. 60° büküm açısında zımba hızı 3 mm/sn'den 10 mm/sn arttığında geri yaylanma, 0° hadde yönünde %1.87, 45° hadde yönünde %0.35, 90° hadde yönünde %9.78 artmıştır. 90° büküm açısında zımba hızı 3 mm/sn'den 10 mm/sn arttığında geri yaylanma, 0° hadde yönünde %5.87, 45° hadde yönünde %0.55, 90° hadde yönünde %4.77 artmıştır. 120° büküm açısında zımba hızı 3 mm/sn'den 10 mm/sn arttığında geri yaylanma, 0° hadde yönünde %27, 45° hadde yönünde %0.49, 90° hadde yönünde %3.5 artmıştır. 3 mm/sn zımba hızında geri yaylanma değerleri en düşüktür. Ütüleme süresi 0.2 sn'den 1 sn'ye arttırıldığında geri yaylanma değeri % 5.56 azalmıştır. 0° hadde yönünde en az geri yaylanmalar görülmüştür. Kalıp açısının artmasıyla geri yaylanma miktarları artmıştır. Elde edilen deneysel sonuçlar, yüksek mukavemetli sacların geri yaylanma davranışlarının tahmin edilip, bükme prosesinde mekanik davranışlarının anlaşılmasına fayda sağlayacaktır.High strength and light high strength steels are widely used in the automotive industry. Springback is as important a problem as tearing and thinning in the shaping of high-strength sheets. In this study, the mechanical properties of SCGADUB1180 high-strength sheet were determined by performing tensile tests and the effects of punch speed, die angle, holding time, rolling direction parameters on springback were experimentally investigated in the V bending process. No research has been found in the literature on the shaping and springback behavior of SCGADUB1180 high strength sheet. As a result of the test results, as the punch speed increased, the springback values increased at 60°, 90° and 120° bending angles. When punch speed increased from 3 mm/sec to 10 mm/sec at 60° bend angle, springback increased 1.87% in 0° rolling direction, 0.35% in 45° rolling direction and 9.78% in 90° rolling direction. When punch speed increased from 3 mm/sec to 10 mm/sec at 90° bend angle, springback increased 5.87% in 0° rolling direction, 0.55% in 45° rolling direction and 4.77% in 90° rolling direction. When punch speed increased from 3 mm/sec to 10 mm/sec at 120° bend angle, springback increased 27% in 0° rolling direction, 0.49% in 45° rolling direction, and 3.5% in 90° rolling direction. Springback values are lowest at 3 mm/sec punch speed. When the holding time was increased from 0.2 s to 1 s, th...

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Section: Introductionunclassified

Experimental investigation of the effect of process parameters on springback behavior of SCGADUB1180 high strength sheet

KARABULUT¹,

Esen²

2023

Pamukkale J Eng Sci

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“…Xu et al [16] and Li et al [17] proposed to use the genetic algorithm (GA) and sparrow search algorithm (SSA) to predict the cold bending springback of the hull based on the backpropagation neural network (BPNN), which greatly improved the prediction accuracy and prediction speed. Wasif et al [18] analyzed the influence of various parameters on the bending springback of JSH590 steel by the V-shaped bending test, and applied the genetic algorithm to optimize the process parameters of minimum springback. Serban et al [19] developed an artificial neural network model with sheet thickness, punch radius and friction coefficient as the input parameters to predict the bending springback of cylindrical plates.…”

Section: Introductionmentioning

confidence: 99%

Research on the Curvature Prediction Method of Profile Roll Bending Based on Machine Learning

Cao

Liu

et al. 2023

Metals

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Roll-bending technology has a high degree of flexibility and does not require special molds. However, based on the existing plastic mechanics theory and finite element simulation, it is difficult to accurately analyze the complex spatial relationship of profile roll forming. Therefore, a fixed-curvature prediction model is constructed based on XGBoost (extreme gradient boosting), and the coupling effect of the process parameters and material performance parameters on the roll-forming process is explored. Combined with a Bayesian optimization algorithm, the hyperparameters of the fixed-curvature prediction model are optimized. In addition, based on the prediction result of the fixed curvature, a variable-curvature prediction model is established using the conditional random field (CRF). To further improve the prediction accuracy, an error compensation network is added after the result of the CRF in order to map the discrete sequence to the continuous sequence. The experimental results show that the mean square error (MSE), mean absolute error (MAE), and mean absolute percentage error (MAPE) predicted by the models above are much smaller than other methods, which verifies the superiority of the prediction models.

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Ideal Flow Design of Plane-Strain Bending Driven by Springback

2022

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The present paper is concerned with the design of the plane-strain bending of wide sheets driven by the sheet’s geometric shape after unloading. The solution is based on the ideal flow theory. It determines the loading path (the dependence between the dimensionless bending moment and the dimensionless tensile force) that produces the desirable shape. The ideal flow theory is valid for the rigid perfectly plastic material model. A method proposed in the literature combines a rigid plastic solution at loading and an elastic solution for springback. The final design solution is practically analytical. A numerical method is only necessary to solve a system of transcendental equations. An illustrative example is provided. This example shows that, in some cases, it is sufficient to use the solution at loading to determine an accurate loading path that produces the desirable sheet’s shape after springback.

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

Cited by 3 publications

References 19 publications

Experimental investigation of the effect of process parameters on springback behavior of SCGADUB1180 high strength sheet

Experimental investigation of the effect of process parameters on springback behavior of SCGADUB1180 high strength sheet

Research on the Curvature Prediction Method of Profile Roll Bending Based on Machine Learning

Ideal Flow Design of Plane-Strain Bending Driven by Springback

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