Browse Publications Technical Papers 2019-01-1085
2019-04-02

Numerical modelling of metal forming by SPH with multi-GPU acceleration 2019-01-1085

Large material distortion, plastic deformation and forging make the numerical modelling of metal forming a difficult task. Grid-based methods such as the Finite Element Method (FEM) are incapable of simulating this process as these schemes suffer from mesh distortion, mesh entanglement and require mesh refinement. The mesh-based numerical frameworks with discontinuous enrichment can model finite deformation problems with limited success. Moreover, the presence of flaws, multiple crack surfaces and their interaction make the simulation even more numerically and computationally intensive. In this regard, the particle-based or meshfree methods are more relevant. There exist several mesh-free methods and among these Smoothed Particle Hydrodynamics (SPH) is a truly meshfree. In SPH the computational domain is discretised by a set of particles. A given particle interacts only with its neighbouring particles through a kernel function with a constant radius. The interaction between particles stops when these move out of each other influence domain. Due to the absence of mesh/grids, SPH is naturally equipped to handle large material deformation. Based on the SPH, a solver with multi GPU acceleration for modelling metal forming process is developed. SPH provides a detailed insight into the material deformation, accumulation of plastic strain, material flow patterns and forging. The effect of different parameters and their influence can also be observed. The material failure, hardening and heating effects are also simulated. The presence of voids in the material, the asymmetry in the forging process, the material flaws and their interaction and evolution over time can be observed accurately. In the present work, we discuss the current needs for a computational framework for metal forming, the limitations of existing simulation software and the potential advantages and disadvantages of Lagrangian particle-based approaches especially SPH.

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