Intelligent Magnetic Component Laminated Manufacturing Parameter Suggestion and Detection System

Exhibitor: NATIONAL CHENG KUNG UNIVERSITY (NCKU)

Booth No: S707

Characteristic

The intelligent additive manufacturing process parameter recommendation system uses an intelligent machine learning model to train multi-objective functions, allowing users to obtain selective laser melting equipment process parameter recommendations according to the magnetic component characteristics required by input in different fields. , can be used on various multi-input and output target devices. The intelligent three-dimensional magnetic flux measurement system is equipped with intelligent image positioning, search and optimization of measurement paths for objects to be measured, and can quickly and non-contact detect magnetic components without manual positioning.

Contact Us | NCKU Innovation Headquarters
Yi-Yin Lin
Phone number：+886 (6) 2360524 Ext. 111
Email：ainlin@NCKU.edu.tw