[JFT198] Rapid Design Exploration Using Surrogate Models

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Overview

It has become known in recent years that surrogate models can be used to rapidly obtain predictions.
JMAG can create surrogate models from the analysis results of multiple cases. Created surrogate models can then be used secondarily by various software through a Python API.
This document provides a sample file of a book with Excel macros that explore designs using surrogate models. This document describes how to use this book with Excel macros to obtain response values according to design variables and how to obtain combinations of design variables that satisfy constraints.

Keywords

surrogate model, sizing, design exploration, AI, machine learning, response value, parametric, Python, API, Excel, VBA, macro

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