New function to perform Optimization Analysis (CAO, Computer Aided Optimization) is introduced. Optimization Analysis can be now executable from ADSTEFAN GUI, after installing CAO software "fxLooper" (* 1) in the PC with ADSTEFAN.
Optimization Analysis GUI and example of operation
"Parametric Analysis Function" is introduced, which automatically creates and executes multiple analysis projects by specifying the range of analysis conditions in advance. It not only reduces the time required for operations compared to manual operations, but also reduces human errors such as configuration mistakes and unintentional overwriting of existing projects.
Image of Parametric Analysis Operation
The Defect Prediction Tool (ADPT) was developed for the purpose of [I want to utilize the defect information accumulated in the field for casting CAE and production].
It is a tool that outputs the defect occurrence rate using machine learning (* 2).
ADPT performs machine learning using modified ADSTEFAN projects with actual defect information, and generates new prediction model (called Defect DB) for the defects specified in the training data.
ADPT also performs a defect prediction using the Defect DB to output the probability of the registered defects against new prediction targets which includes not only under different casting condition such as casting temperature, but new casting design and products as well.
The prediction model is directly linked to the actual defect information. It allows us to reduce troublesome "fitting" effort, and more actual shop floor-wise defect prediction.
Schematics of the ADPT
Example of defect prediction (Cold Shut)
It is equipped with a new calculation module "particle method" (*3) analysis.
It enables to calculate multiple and complexly related physical phenomena occured in the casting process simultaneously.
Calculation example : Die casting
Calculation example : Centrifugal casting
*1 General-purpose optimization software manufactured by Anotherworker Inc.
*2 Technology to generate a data processing model by automatic learning from Training Data as a reference.
*3 One of the numerical simulation method to solve continuum body behavior based on the Lagrangian method.