Dylan Budnick

Background

I am a MASc student at the University of Waterloo's Forming and Crash Lab. I received my BASc from the University of Waterloo's Mechanical Engineering Department. I have an interest in how machine learning can be applied to optimize manufacturing processes. My research focuses on the development of a Digital Twin to be used in the control of a progressive die. In particular, I am interested in investigating how active actuation can be used to increase the stroke rate of a press while maintaining stability in the process. The goal of this research is to use finite element modeling and machine learning to develop a Digital Twin of a progressive die.

Research Interests

• Digital Twins
• Finite element modeling of forming
• Machine learning applications in manufacturing