Improvement of the prediction accuracy of Hill48 yield criterion with novel parameter identification method

Purpose The aim of the present study is to improve the prediction capability of the Hill48 orthotropic yield criterion by applying the novel calibration method. Design/methodology/approach Two different coefficient identification methods based on numerical optimization techniques were proposed in the study. In the first method, total effect of the yield stresses and Lankford coefficients in main directions were considered, whereas in the second method, the effect of each yield stresses and Lankford coefficient were independently taken into account. The mentioned two methods were applied to describe the anisotropic behavior of a commercial pure titanium sheet in order to investigate their effects on the prediction accuracy of Hill48 criterion and the cup drawing test was selected as a benchmark study. Findings From the comparisons it was determined that only the latter method could successfully predict both earing profile and cup height of the deep drawn cup. In this study, successful results were obtained by improving the prediction performance of Hill48 using the new proposed optimization-based calibration methods. Originality/value In this study, a novel parameter calibration method has been developed and applied to model anisotropic behavior of commercial pure titanium sheet, which exhibits strongly anisotropic behavior. After comparison of the numerical and experimental results it is seen that the developed method has accurately modelled the planar anisotropy and a significant enhancement is provided when compared to the classical analytical methods.

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Publication Details

Journal
Engineering Computations
Published
2025-06-24
DOI
https://doi.org/10.1108/ec-06-2024-0577
Primary Topic
Metal Forming Simulation Techniques
Type
article
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article

Improvement of the prediction accuracy of Hill48 yield criterion with novel parameter identification method

Emre Esener, Bora Şener, Mehmet Fırat, Toros Arda Akşen
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Engineering Computations
Metal Forming Simulation Techniques
article

Improvement of the prediction accuracy of Hill48 yield criterion with novel parameter identification method

Emre Esener, Bora Şener, Mehmet Fırat, Toros Arda Akşen
article en

Abstract

Purpose The aim of the present study is to improve the prediction capability of the Hill48 orthotropic yield criterion by applying the novel calibration method. Design/methodology/approach Two different coefficient identification methods based on numerical optimization techniques were proposed in the study. In the first method, total effect of the yield stresses and Lankford coefficients in main directions were considered, whereas in the second method, the effect of each yield stresses and Lankford coefficient were independently taken into account. The mentioned two methods were applied to describe the anisotropic behavior of a commercial pure titanium sheet in order to investigate their effects on the prediction accuracy of Hill48 criterion and the cup drawing test was selected as a benchmark study. Findings From the comparisons it was determined that only the latter method could successfully predict both earing profile and cup height of the deep drawn cup. In this study, successful results were obtained by improving the prediction performance of Hill48 using the new proposed optimization-based calibration methods. Originality/value In this study, a novel parameter calibration method has been developed and applied to model anisotropic behavior of commercial pure titanium sheet, which exhibits strongly anisotropic behavior. After comparison of the numerical and experimental results it is seen that the developed method has accurately modelled the planar anisotropy and a significant enhancement is provided when compared to the classical analytical methods.

Engineering ComputationsVol. 42(6)
Sakarya University (TR), Technical University of Civil Engineering of Bucharest (RO), Bilecik Şeyh Edebali Üniversitesi (TR)
Openalex Percentile: Top 86%
Metal Forming Simulation Techniques
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Improvement of the prediction accuracy of Hill48 yield criterion with novel parameter identification method — Emre Esener, Bora Şener, et al. · Engineering Computations (2025) | TGRS Research Map | TGRS