Train Table – Optimisation Study
An LS-DYNA implicit model of a train table was optimised for static stiffness utilising the Enlighten™ code.
No point on the upper surface could have a stiffness below 100 N/mm meaning 2000+ separate load-cases.
The table is a multi-material construction featuring steel and ABS plastic.
Multi-material combinations are directly supported by the Enlighten™ code
Manufacturing constraints were applied. A uniform thickness was applied to the A-surface. Erosion was enabled on ribbing.
Ribs are initially defined as extruded A-surface mesh lines, a simple and effective way to generate initial geometry.
Train Table – Optimisation Study
An LS-DYNA implicit model of a train table was optimised for static stiffness utilising the Enlighten™ code.
No point on the upper surface could have a stiffness below 100 N/mm meaning 2000+ separate load-cases.
The table is a multi-material construction featuring steel and ABS plastic.
Multi-material combinations are directly supported by the Enlighten™ code
Manufacturing constraints were applied. A uniform thickness was applied to the A-surface. Erosion was enabled on ribbing.
Ribs are initially defined as extruded A-surface mesh lines, a simple and effective way to generate initial geometry.
solver converging on a solution
Ribbing cross-section
solver converging on a solution
Ribbing cross-section
An optimised solution utilising the power of Enlighten™
- The original table weighed 15.2kg and the Enlighten™ code achieved an optimised table weight of 10.1kg.
- 5 parts, 2000+ load-cases. Analysis took 3 days on a small workstation.
- Solution is injection moulding friendly
An optimised solution utilising the power of Enlighten™
- The original table weighed 15.2kg and the Enlighten™ code achieved an optimised table weight of 10.1kg.
- 5 parts, 2000+ load-cases. Analysis took 3 days on a small workstation.
- Solution is injection moulding friendly