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Mesh Regularization Through Introduction of Mesh Size based Scaling Factor using LS Dyna Explicit Analysis

Abstract Details

2019, MS, University of Cincinnati, Engineering and Applied Science: Mechanical Engineering.
Meshing is a crucial element of any FEA simulation. Accurate modeling & simulation requires close approximation of standard test conditions and definition of parameters influencing the phenomenon with the optimization. In current standards, the mesh size needs to be small to get an accurate estimation of the experimental result. However, this leads to long simulation time consuming vital time and resources. On the other hand, increasing the mesh size leads to inaccurate results. This problem is tackled in this study through mesh regularization by introducing mesh size-based scaling factor in the material damage model. The study for mesh regularization or mesh size optimization is studied in three examples. The mesh size-based scaling factor is found out through tensile tests, and the comparison of the numerical simulations results with the experimental tests. Then the scaling factor is implemented in the numerical simulations of a real structural experiment considered in this study. The study for mesh regularization or mesh size optimization goes through extensive research for the various experiments, i.e., Ballistic test, Milling test, and Engine casing penetration testing. Two different materials, namely, Titanium alloy (Ti-6Al-4V) and Aluminum alloy (Al7020-T651), are used. The material damage models used are Johnson Cook and GISSMO (Generalized Incremental Stress State-dependent Model). The study also tries to derive theoretical models to predict accurate scaling factors for mesh regularization. The theoretical scaling factors with the experimental scaling factor found through the numerical simulation of the experiments. Furthermore, this study also presents a summary of theoretical models published in the literature to predict certain scaling factors for mesh regularization. The theoretical scaling factors with the experimental scaling factor found through the numerical simulation of the experiments are compared and presented.
Ala Tabiei, Ph.D. (Committee Chair)
Michael Alexander-Ramos, Ph.D. (Committee Member)
Woo Kyun Kim, Ph.D. (Committee Member)
167 p.

Recommended Citations

Citations

  • Patro, A. (2019). Mesh Regularization Through Introduction of Mesh Size based Scaling Factor using LS Dyna Explicit Analysis [Master's thesis, University of Cincinnati]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1574417021928556

    APA Style (7th edition)

  • Patro, Abinash. Mesh Regularization Through Introduction of Mesh Size based Scaling Factor using LS Dyna Explicit Analysis. 2019. University of Cincinnati, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ucin1574417021928556.

    MLA Style (8th edition)

  • Patro, Abinash. "Mesh Regularization Through Introduction of Mesh Size based Scaling Factor using LS Dyna Explicit Analysis." Master's thesis, University of Cincinnati, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1574417021928556

    Chicago Manual of Style (17th edition)