Faculty Advisor

Apelian, Diran

Faculty Advisor

Kmiotek, Stephen J.

Faculty Advisor

Putnam, Craig B.

Abstract

Despite continuous growth and improvements in Selective Laser Melting (SLM) systems, part quality and reproducibility are still affected by process instability. The aim of this project is to illustrate improvement in quality and consistency of SLM printed parts by introducing machine learning. In order to achieve this, we set out to build an SLM testbed system with integrated sensing capabilities, and utilize machine learning and in-situ process monitoring to introduce delayed, closed-loop sensing and control to the SLM process.

Publisher

Worcester Polytechnic Institute

Date Accepted

April 2019

Major

Computer Science

Major

Robotics Engineering

Project Type

Major Qualifying Project

Accessibility

Unrestricted

Advisor Department

Metal Processing Institute

Advisor Department

Chemical Engineering

Advisor Department

Computer Science

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