Luke720
Materials
- Mar 26, 2013
- 14
I hope this isn't too elementary for this forum but I was hoping some of you Abaqus gurus could give me a bit of guidance.
My goal is to model the impact of a spherical metal particle (40 micron diameter) onto a large (can be assumed to be semi-infinite) substrate at high velocities (750 m/s) to simulate the high strain and strain rate associated with the impact.
For my first version I am calling the substrate rigid and focusing on the deformation of the particle. I am planning to add levels of complexity to the model incrementally until it has the detail I want.
So far I have tried it two different ways and run into the same problem: It takes too long to submit. Additionally, this means I don't even know if it is working.
What I have tried:
1. A 3D sphere meshed with C3D10M elements. I figured that this may be unnecessarily intensive due the the symmetries in the scenario, so moving onto number 2...
2. I made an axisemetric model with about 1500 elements (tet at the center and quad radiating out), figuring that this would run MUCH faster. However I submitted it about 40 minutes ago and it is still running on a relatively powerful PC.
I have done some of the basic tutorials provided in abaqus and the submit step never took more that 30 seconds, so either I figure I must be doing something wrong. I also wonder if large plastic strains are having a detrimental effect on computation time.
I've attached the axisemetric attempt if that helps, let me know if the 3D one would be helpful to look at. Ideally I would like the later versions to be 2D or 3D so that I could model several particles impacting in succession at various locations.
Any help would be greatly appreciated!
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Additionally, if anybody has any advice on how to accelerate learning abaqus or methods that worked for you, I'd love to hear them. This simulation will be an integral part of my masters degree so I need to get good at abaqus. I know it's a slow process to learn software this complex and I have time, but the quicker the better as far as I am concerned.
Thanks,
Luke
My goal is to model the impact of a spherical metal particle (40 micron diameter) onto a large (can be assumed to be semi-infinite) substrate at high velocities (750 m/s) to simulate the high strain and strain rate associated with the impact.
For my first version I am calling the substrate rigid and focusing on the deformation of the particle. I am planning to add levels of complexity to the model incrementally until it has the detail I want.
So far I have tried it two different ways and run into the same problem: It takes too long to submit. Additionally, this means I don't even know if it is working.
What I have tried:
1. A 3D sphere meshed with C3D10M elements. I figured that this may be unnecessarily intensive due the the symmetries in the scenario, so moving onto number 2...
2. I made an axisemetric model with about 1500 elements (tet at the center and quad radiating out), figuring that this would run MUCH faster. However I submitted it about 40 minutes ago and it is still running on a relatively powerful PC.
I have done some of the basic tutorials provided in abaqus and the submit step never took more that 30 seconds, so either I figure I must be doing something wrong. I also wonder if large plastic strains are having a detrimental effect on computation time.
I've attached the axisemetric attempt if that helps, let me know if the 3D one would be helpful to look at. Ideally I would like the later versions to be 2D or 3D so that I could model several particles impacting in succession at various locations.
Any help would be greatly appreciated!
-------------------------------------------------------------------
Additionally, if anybody has any advice on how to accelerate learning abaqus or methods that worked for you, I'd love to hear them. This simulation will be an integral part of my masters degree so I need to get good at abaqus. I know it's a slow process to learn software this complex and I have time, but the quicker the better as far as I am concerned.
Thanks,
Luke