Open Access
Issue
Mechanics & Industry
Volume 26, 2025
Article Number 25
Number of page(s) 10
DOI https://doi.org/10.1051/meca/2025015
Published online 05 August 2025
  1. M.D. Ye, 100 questions about precision cutting of metal plate (Metallurgical Industry Press, Beijing, 2010) [Google Scholar]
  2. G.Y. Zhou, Finishing Equipment with Steel (China Machine Press, Beijing, 1982) [Google Scholar]
  3. P.S. Cao, Study on shear force of wide and thick plate rotary trimming shears, MSc thesis, Yanshan University (2023) [Google Scholar]
  4. W.C. Sun, Simulation of shear process and study of process parameters of rotary trimming shear, MSc thesis, Yanshan University (2023) [Google Scholar]
  5. W.S. Wang, Research on the influence mechanism of shearing process parameters on the shear quality of hydraulic rolling cut shear, MSc thesis, Taiyuan University of Science and Technology (2024) [Google Scholar]
  6. D.F. Li, S.L. Wu, W.J. Liu, Numerical analysis of shear force of side trimmer based on ANSYS/LS-DYNA, J. Plasticity Eng. 23, 56 (2016) [Google Scholar]
  7. Q.P. Jing, H.L. Jia, Y.H. Shuang, F. Yang, L. Jin, Numerical simulation and experimental study of the shearing process on trimming disc shear, J. Plasticity Eng. 17, 32 (2010) [Google Scholar]
  8. L.N. Tan, Y.Y. Chen, Simulation analysis of shearing process of disk shear strip based on ANSYS /LS-DYNA, J. Mech. Electrical Eng. 35, 122 (2018) [Google Scholar]
  9. Q.S. Yan, H. Li, Y.W. Zhu, J.B. Lu, Effect of shear clearance on the quality of cut surface of stainless steel sheets, Mach. Des. Manufact. 9, 59 (2021) [Google Scholar]
  10. Z.H. Bai, W. Lin, W. Wang, W.J. Zhang, X.T. Li, Development of optimization technology for disc shear process parameters of hot-dip galvanizing line, Iron Steel 57, 159 (2022) [Google Scholar]
  11. Z.B. Zhao, Y. Wang, M.Q. Qiu, Scale model of rolling-cut shear and its optimization design with all parameters, J. Machine Des. 40, 90 (2023) [Google Scholar]
  12. L.F. Ma, Q.X. Huang, Z.Q. Huang, Z.B. Chu, H.Y. Han, Energetic parameter test on disc shear of plate and establishment of the best blade clearance mathematical model, Chin. J. Eng. Des. 19, 434 (2012) [Google Scholar]
  13. X.B. Li, Discussion on shear principle of disc shear and analysis on shear force calculation, Mech. Res. Appl. 030, 55 (2017) [Google Scholar]
  14. J. Effelsberg, A. Haufe, M. Feucht, F. Neukamm, P. Dubois, On parameter identification for the GISSMO damage model, in 11th International LS-DYNA Users Conference, Metal Forming (2012), pp. 1–12 [Google Scholar]
  15. F. Neukamm, M. Feucht, K. Roll, A. Haufe, On closing the constitutive gap between forming and crash simulation, in 10th Internation LS-DYNA Users Conference 2008, Dearborn, Michigan, USA (2008) [Google Scholar]
  16. F. Neukamm, M. Feucht, A. Haufe, Considering damage history in crashworthiness simulations, in Proceedings of the 7th European LS-DYNA Users Conference, Salzburg, Austria: DYNAmore GmbH (2009), pp. 1–9. [Google Scholar]
  17. F. Andrade, M. Feucht, A. Haufe, On the prediction of material failure in LS-DYNA: a comparison between GISSMO and DIEM, in Proceedings of the 13th International LS-DYNA Users Conference, Detroit, USA (2014), pp. 1–10 [Google Scholar]
  18. H.L. Ma, Investigation of crashworthiness for hot stamping thin-wall structure considering damage, MSc thesis, Dalian University of Technology (2018) [Google Scholar]
  19. Livermore Software Technology Corporation, Ls-Dyna keyword user’s manual (Livermore Software Technology Corporation, USA, 2014). [Google Scholar]
  20. F.X.C. Andrade, M. Feucht, A. Haufe, F. Neukamm, An incremental stress state dependent damage model for ductile failure prediction, Int. J. Fracture 200, 127 (2016) [Google Scholar]
  21. D. Hrling, Parameter identification of GISSMO damage model for DOCOL 1200M: A study on crash simulation for high strength steel sheet components, MSc thesis, Karlstad University (2015) [Google Scholar]
  22. S.K. Chalavadi, Parameter identification of GISSMO damage model for DOCOL 900M high strength steel alloy: usage of a general damage model coupled with material modeling in LS-DYNA for Advanced high strength steel crashworthiness simulations, MSc thesis, Sweden: University West (2017) [Google Scholar]
  23. Y. Feng, S.N. Xiao, T. Zhu, B. Yang, G.W. Yang, Q.W. Che, Failure behavior and collision characteristics of energy-absorbing structures considering material failure criteria, J. Central South Univ. (Science and Technology) 2, 31 (2019) [Google Scholar]
  24. S.K. Lee, J.S. Lee, J.H. Song, J.Y. Park, G.H. Kim, Fracture simulation of cold roll forming process for aluminum 7075-t6 automotive bumper beam using gissmo damage model, Proc. Manufactur. 5, 15 (2018) [Google Scholar]
  25. G. Venturato, A. Ghiotti, S. Bruschi, Stress-state dependent formability modelling in hot stamping, Product. Eng. 9, 14 (2019) [Google Scholar]
  26. B. Gu, J. Lim, S. Hong, Determination and verification of gissmo fracture properties of bolts used in radioactive waste transport containers, Materials 15, 5 (2022) [Google Scholar]
  27. M. Otroshi, M. Rossel, G. Meschut, Stress state dependent damage modelling of self-pierce riveting process simulation using gissmo damage model, J. Adv. Joining Process. 100015 (2020) [Google Scholar]
  28. S.Z. Qamar, A. Fazal, M. Arif, A.K. Sheikh, M. Younas, T. Pervez, R.A. Siddiqui, Simulation of fatigue and wear life of extrusion dies, in Proceedings of the 10th International Research/Expert Conference (2014) [Google Scholar]
  29. M. Zhao, W.H. Wang, Analysis of crack and chipping causes of H13 disc shear blades and improvement measures, Tianjin Metall. 01, 145 (2008) [Google Scholar]
  30. L. Öman, Examination of a Damaged Slitting Knife using Scanning Electron Microscopy and Finite Element Simulations, MSc thesis, Karlstad University (2021) [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.