BruceSIM Overview

“Fast and accurate prediction of CAE simulation performance using an AI trained with numerous labeled CAE data”

※ labeled data: input & performance data

BruceSIM Features

1) Preprocessing labeled CAE simulation data for effective training

2) Select an appropriate deep learning architecture for training the CAE simulation data

BruceSIM Application

Application for injection molding analysis using Moldflow
: Performance prediction of a 2D injection molding simulation model with an arbitrary shape and injection location

1) Preprocessing labeled data generated from Moldflow

2) Select an appropriate deep learning architecture for the Moldflow data

3) Predict performances on test input data (untrained)