Influence of modified maximum force criterion-based forming limit curves and process parameters on forming height in deep drawing of LK75-0.5 brass sheets

Accurate prediction of forming limits and appropriate process-parameter selection are essential for reliable and efficient deep drawing. This study develops a direction-dependent forming-limit prediction approach for 1-mm-thick LK75-0.5 brass sheets by combining the Modified Maximum Force Criterion (MMFC) with Voce hardening laws calibrated from uniaxial tensile tests along the rolling direction (RD, 0°), diagonal direction (DD, 45°), and transverse direction (TD, 90°). The resulting forming limit curves (FLCs) are incorporated into a finite element model and validated against experimentally measured maximum forming heights during cylindrical cup deep drawing. Among the investigated hardening descriptions, the Voce-RD FLC provides the closest prediction, with a deviation of only 2.1%. The effects of blank holder force, punch corner radius, and drawing ratio are then investigated using a Taguchi design. ANOVA identifies punch corner radius as the most influential parameter (52.22%), followed by drawing ratio (29.22%) and blank holder force (16.72%). A nonlinear regression model is further developed for rapid forming-height prediction. The proposed MMFC–FLC–FE–Taguchi/ANOVA framework provides a practical basis for failure-risk assessment, parameter selection, and process optimization of anisotropic brass sheets.

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Publication Details

Journal
Advances in Materials and Processing Technologies
Published
2026-10-05
DOI
https://doi.org/10.1080/2374068x.2026.2744687
Primary Topic
Metal Forming Simulation Techniques
Type
article
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article

Influence of modified maximum force criterion-based forming limit curves and process parameters on forming height in deep drawing of LK75-0.5 brass sheets

The-Thanh Luyen, Duc‐Toan Nguyen, Tuyen- Minh Tran
Advances in Materials and Processing Technologies
Metal Forming Simulation Techniques
article

Influence of modified maximum force criterion-based forming limit curves and process parameters on forming height in deep drawing of LK75-0.5 brass sheets

The-Thanh Luyen, Duc‐Toan Nguyen, Tuyen- Minh Tran
article en

Abstract

Accurate prediction of forming limits and appropriate process-parameter selection are essential for reliable and efficient deep drawing. This study develops a direction-dependent forming-limit prediction approach for 1-mm-thick LK75-0.5 brass sheets by combining the Modified Maximum Force Criterion (MMFC) with Voce hardening laws calibrated from uniaxial tensile tests along the rolling direction (RD, 0°), diagonal direction (DD, 45°), and transverse direction (TD, 90°). The resulting forming limit curves (FLCs) are incorporated into a finite element model and validated against experimentally measured maximum forming heights during cylindrical cup deep drawing. Among the investigated hardening descriptions, the Voce-RD FLC provides the closest prediction, with a deviation of only 2.1%. The effects of blank holder force, punch corner radius, and drawing ratio are then investigated using a Taguchi design. ANOVA identifies punch corner radius as the most influential parameter (52.22%), followed by drawing ratio (29.22%) and blank holder force (16.72%). A nonlinear regression model is further developed for rapid forming-height prediction. The proposed MMFC–FLC–FE–Taguchi/ANOVA framework provides a practical basis for failure-risk assessment, parameter selection, and process optimization of anisotropic brass sheets.

Advances in Materials and Processing Technologies
Hung Yen University of Technology and Education (VN), Trường Đại học Khoa học và Công nghệ Hà Nội (VN), Hanoi University of Science and Technology (VN)
Openalex Percentile: Top 21%
Metal Forming Simulation Techniques
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Influence of modified maximum force criterion-based forming limit curves and process parameters on forming height in deep drawing of LK75-0.5 brass sheets — The-Thanh Luyen, Duc‐Toan Nguyen, et al. · Advances in Materials and Processing Technologies (2026) | TGRS Research Map | TGRS