Adaptive time scaling for accelerating explicit finite element analysis

Patent metadata

Field	Value
Publication number	US-11288424-B2
Application number	US-201916451513-A
Country	US
Kind code	B2
Filing date	Jun 25, 2019
Priority date	Oct 24, 2018
Publication date	Mar 29, 2022
Grant date	Mar 29, 2022

Abstract

A method for accelerating an explicit finite element analysis (FEA) simulation of a modeled system or process includes performing an initial iteration of the FEA simulation according to a baseline time interval via an FEA computing network, and calculating a criteria ratio of a predetermined set of scaling criteria for the modeled system or process. The method includes determining a time-scaling factor using the criteria ratio via the FEA computing network as a function of the criteria ratio, and then applying the time-scaling factor to the baseline time interval to generate a scaled time interval. The scaled time interval accelerates simulation time of the FEA simulation. The method includes performing a subsequent iteration of the explicit FEA simulation at the scaled time interval using the FEA computing network. The process continues for subsequent iterations, with the time-scaling factor adapting with each iteration.

First claim

What is claimed is:

1. A method for accelerating an explicit finite element analysis (FEA) simulation, the method comprising:
performing an initial iteration of the explicit FEA simulation for a laser welding process or a laser welding system according to a baseline time interval Δt via an FEA computing network;
calculating a criteria ratio (r x ) of a predetermined set of scaling criteria for the modeled system or process via the FEA computing network;
determining a time-scaling factor (f) using the criteria ratio via the FEA computing network as an inverse function of the criteria ratio, wherein f>>1;
applying the time-scaling factor to the baseline time interval in real-time to thereby generate a respective scaled time interval fΔt for subsequent iterations of the explicit FEA simulation, wherein the respective scaled time interval fΔt accelerates the explicit FEA simulation by reducing a required amount of FEA processing time; and
performing the subsequent iterations of the explicit FEA simulation at the respective scaled time intervals fΔt using the FEA computing network until reaching a calibrated end time of the explicit FEA simulation;
wherein

f
∝

k

r
x
n

in which k and n are application-consistent/calibrated constants.

2. The method of claim 1 , wherein calculating the criteria ratio is conducted for a sub-model of a total model of the modeled system or process.

3. The method of claim 1 , wherein the criteria ratio is determined as a function of an energy ratio, a displacement ratio, and/or a force ratio.

4. The method of claim 3 , wherein the criteria ratio is the energy ratio, and the energy ratio is a ratio of incremental kinetic energy to incremental total energy term in the modeled system or process.

5. The method of claim 3 , wherein the criteria ratio is the force ratio.

6. The method of claim 5 , wherein the force ratio is a ratio of a norm of incremental forces to a norm of incremental maximum forces.

7. The method of claim 1 , the method further comprising:
comparing the criteria ratio to a threshold ratio; and
adjusting the time-scaling factor upward or downward by a predetermined amount when the criteria ratio is less than or greater than the threshold ratio, respectively.

8. The method of claim 7 , wherein adjusting the time-scaling factor occurs in proportion to an amount by which the criteria ratio exceeds or is exceeded by the threshold ratio.

9. A tangible, non-transitory computer-readable medium for use during an explicit finite element analysis (FEA) simulation for a laser welding process or a laser welding system, wherein the computer-readable medium includes instructions executable by a core or processor of an FEA computing network to cause the FEA computing network, subsequent to an initial iteration of the FEA computing logic using a baseline time interval, to:
calculate a criteria ratio (r x ) of a predetermined set of scaling criteria via the FEA computing network;
determine a time-scaling factor (f) using the criteria ratio, via the FEA computing network, wherein the time-scaling factor is an inverse function of the criteria ratio and f>>1;
apply the time-scaling factor to the baseline time interval in real-time to thereby generate a respective scaled time interval fΔt, wherein the respective scaled time interval accelerates the explicit FEA simulation for the laser welding process or the laser welding system by reducing a required amount of FEA processing time; and
perform the subsequent iterations of the explicit FEA simulation at the respective scaled time intervals fΔt using the FEA computing network until reaching a calibrated end time of the explicit FEA simulation;
wherein

f
∝

k

r
x
n

,

in which k and n are application-specific/calibrated constants.

10. The computer-readable medium of claim 9 , wherein execution of the instructions causes the FEA computing network to calculate the criteria ratio only for a sub-model of a total model.

11. The computer-readable medium of claim 9 , wherein the criteria ratio is an energy ratio, a displacement ratio, and/or a force ratio.

12. The computer-readable medium of claim 11 , wherein the criteria ratio is the energy ratio, and the energy ratio is a ratio of incremental kinetic energy to incremental total energy term.

13. The computer-readable medium of claim 11 , wherein the criteria ratio is the force ratio.

14. The computer-readable medium of claim 13 , wherein the force ratio is a ratio of a norm of incremental forces to a norm of incremental maximum forces.

15. The computer-readable medium of claim 11 , wherein the criteria ratio includes the displacement ratio, and the displacement ratio is a ratio of an incremental displacement to a norm of an incremental maximum displacement.

16. The computer-readable medium of claim 9 , wherein execution of the instructions further causes the FEA computing network to:
compare the criteria ratio to a threshold ratio; and
adjust the time-scaling factor upward or downward by a predetermined amount when the criteria ratio is less than or greater than the threshold ratio, respectively.

17. The computer-readable medium of claim 16 , wherein execution of the instructions causes the FEA computing network to adjust the time-scaling factor upward or downward by the predetermined amount in proportion to an amount by which the criteria ratio exceeds or is exceeded by the threshold ratio.

18. The method of claim 1 , wherein the calibrated end time of the FEA simulation is 12-15 seconds of welding time in the laser welding system or the laser welding process.

19. The computer-readable medium of claim 11 , wherein the calibrated end time of the FEA simulation is 12-15 seconds of welding time in the laser welding system or the laser welding process.

Assignees

• Gm Global Tech Operations Llc
• Ut Battelle Llc

Inventors

• Chen Jian
• Huang Hui
• Feng Zhili
• Carlson Blair
• Wang hui-ping
• Cai Wayne

Classifications

• G06T15/005

  General purpose rendering architectures · CPC title

• G06F30/23 Primary

  using finite element methods [FEM] or finite difference methods [FDM] · CPC title

• G06T19/00

  Manipulating three-dimensional [3D] models or images for computer graphics · CPC title

• G06F17/11

  for solving equations {, e.g. nonlinear equations, general mathematical optimization problems (optimization specially adapted for a specific administrative, business or logistic context G06Q10/04)} · CPC title