Enhancing The Discretization Method by Implementing The DOE Method to Optimize The Discretization Value Using Workbench and Ansys
Authors:-Mr. M. Vinil, Meddisetti Ramesh, Polisetti Chaitanya Anil, Bharthala Subrhamanyaswamy, Kantareddy Siva Sai
Abstract-Discretization, commonly known as meshing, plays a pivotal role in finite element analysis (FEA) as it divides a component into smaller elements for numerical simulations. The quality and size of the mesh significantly influence the accuracy, convergence, and computational cost of the simulation. This project focuses on enhancing the discretization process by implementing the Design of Experiments (DOE) method to optimize the mesh size for achieving an optimal balance between computational efficiency and result accuracy. ANSYS was utilized to perform FEA simulations on a selected component with varying mesh sizes to observe their influence on key output parameters such as stress, strain, deformation, and factor of safety. Coarser meshes lead to faster computation but may compromise accuracy, while finer meshes provide more precise results but at a higher computational expense. The DOE method was applied using Minitab software to design a set of systematic experiments, enabling the identification of the most influential factors and their interactions affecting the output.
