Modeling of machining process has always been the endeavor of academic field. Based on the Smoothed Particle Hydrodynamics (SPH) method, a software named mfree iwf has been developed for cutting simulation at the Institute of Machine Tools and Manufacturing (IWF) at ETH. Chip formation and other physical parameters such as cutting forces can be accurately predicted with GPU-enhanced high resolution simulation program (Fig. 1). (Please refer to https://youtu.be/IWGg99XXKbU for an overview of mfree_iwf!)
While the particle method is advantageous where large deformations exist (workpiece), it could become cumbersome to model nearly rigid cutting tools and occupy too many computational resources when simulating the thermal field. This situation can be improved by using traditional mesh-based modeling techniques, such as the Finite Element Method as an alternative (Fig. 2). In addition, the mesh-based cutting tool facilitates the study of tool wear, which is of great interest to the manufacturing industry.
Modeling of machining process has always been the endeavor of academic field. Based on the Smoothed Particle Hydrodynamics (SPH) method, a software named mfree iwf has been developed for cutting simulation at the Institute of Machine Tools and Manufacturing (IWF) at ETH. Chip formation and other physical parameters such as cutting forces can be accurately predicted with GPU-enhanced high resolution simulation program (Fig. 1). (Please refer to https://youtu.be/IWGg99XXKbU for an overview of mfree_iwf!) While the particle method is advantageous where large deformations exist (workpiece), it could become cumbersome to model nearly rigid cutting tools and occupy too many computational resources when simulating the thermal field. This situation can be improved by using traditional mesh-based modeling techniques, such as the Finite Element Method as an alternative (Fig. 2). In addition, the mesh-based cutting tool facilitates the study of tool wear, which is of great interest to the manufacturing industry.
This thesis aims at improving the present two-dimensional FEM-SPH solver and extending it to the 3D case with GPU computing. You will have the opportunity to apply your knowledge to a number of industry-oriented problems, as well as receive solid programming practice at the same time.
This thesis aims at improving the present two-dimensional FEM-SPH solver and extending it to the 3D case with GPU computing. You will have the opportunity to apply your knowledge to a number of industry-oriented problems, as well as receive solid programming practice at the same time.
Nanyuan Zhang, Institute of Machine Tools and Manufacturing (IWF), ETH Zürich, zhang@iwf.mavt.ethz.ch
Nanyuan Zhang, Institute of Machine Tools and Manufacturing (IWF), ETH Zürich, zhang@iwf.mavt.ethz.ch