Application of Machine Learning in Magnetic Characteristics Prediction of Additive Manufactured Soft Magnetic Composite

Abstract

Selective laser melting (SLM) is one of the widely used metal additive manufacturing (AM) techniques While SLM is able to produce high quality products the parameter selection process can be very complicated especially for magnetic materials The mechanical properties need to be concerned as well as the magnetic characteristics which makes the parameter selecting process more complicated In this research the parameter selection process of magnetic material for SLM will be explored The process that integrates machine algorithm and evolutionary algorithm comparing with the existing approach is not only repeatable but timesaving

Date of Award	2019
Original language	English
Supervisor	Mi-Ching Tsai (Supervisor)