Shape deviation quantification and tolerancing for Metal AM

Additive Manufacturing (AM) is a fast growing technology with application areas in automobile, biomedical, and aerospace etc. The technology is moving rapidly from polymers to metal AM due to advantages in terms of shape complexity, and minimum material and energy wastage. The major challenge in Metal AM is the shape deviation modeling, and quantification. Shape deviation modeling and quantification is usually done experimentally by printing test artifacts using designed experiments and then quantifying the parts to reach meta-models and regression models. These test artifacts can then be later used for other AM systems and will help in quick and easy quantification of geometric quality parameters for an AM system. The project will focus on the research gaps in the design methodology for the geometric test artifacts and will come up with a systematic design methodology for the same to facilitate constraint based design and to avoid over-designing of the artifacts.

Faculty Supervisor:

Ahmed Qureshi

Student:

Partner:

École Normale Supérieure de Paris-Saclay

Discipline:

Engineering

Sector:

Education

University:

University of Alberta

Program: