Application for 5-axis 3D printing project at Concordia University under the supervision of Dr. Tsz Ho Kwok

We aim to develop new techniques in 5-axis Computer Numerical Control (CNC) machining and 5-axis 3D printing, which are advanced methods used in modern manufacturing. Our project focuses on creating collision detection algorithms to prevent accidents with expensive machinery, ensuring safety remains a top priority. We also plan to develop tool path planning algorithms to make manufacturing processes more precise and time-efficient—both crucial aspects in production. To achieve these goals, we’ll explore the geometric properties of the machines and the parts being made, potentially using Machine Learning methods to assist professionals in their work. This collaboration between BCAM and Concordia University is expected to benefit both institutions by fostering new partnerships for future projects and producing high-quality, impactful research publications in this field.

Faculty Supervisor:

Tsz Ho Kwok

Student:

Partner:

Basque Center for Applied Mathematics

Discipline:

Computer science

Sector:

Advanced Manufacturing; Manufacturing and Construction; Artificial Intelligence

University:

Concordia University

Program: