Prediction of Particle Dynamics for Additive Manufacturing

Additive manufacturing is an emerging technology that can revolutionize specific manufacturing sectors, but several technical issues related to flowability of metal powders remain to be resolved before its full potential can be achieved. The project aims at better characterizing and predicting the flow behavior of powders used for additive manufacturing, and improving powder flow simulation. The rheological behavior of powders will be studied in a wide range of conditions and these data will be used to develop a powder flow model that will be used to simulate key aspects of the additive manufacturing processes. The project will contribute to identifying promising avenues for powder feedstock development, better powder manipulation practices, and guidelines for equipment design.

Faculty Supervisor:

Bruno Blais

Student:

Partner:

University of Bath

Discipline:

Engineering

Sector:

Advanced Manufacturing; Manufacturing and Construction

University:

Polytechnique Montréal

Program: