Advanced Manufacturing
Advanced manufacturing program and research at U of T Engineering are creating next-generation technology while preparing future engineers to lead in industry.
We are working with NanoXplore to create a hybrid graphene and foamed plastic material that stands to impact the way many products are made, from smartphones to sensors.
- Advanced Aerospace Structures
- Advanced Coating Technologies
- Cellular Hybrid Materials
- Human-Machine Interaction
- Intelligent Decision Engineering
- Laser Photonics Fabrication
- Maintenance Optimization & Reliability Engineering
- Microcellular Plastics
- Multifunctional Lightweight Structures
- Nanomaterials
- Organic Optoelectronics
- Robotics & Automation
- Smart & Multifunctional Materials
Toronto Institute for Advanced Manufacturing
TIAM continues to establish partnerships with the manufacturing sector that maximize the impact of transformative technologies developed by its world-renowned researchers.
Ontario Centre for the Characterization of Advanced Materials
OCCAM fosters collaboration between universities and industry, enabling interactions that traverse the traditional boundaries between science, engineering and medicine.
Institute for Robotics & Mechatronics
IRM conducts research on robotics and mechatronics through collaborative research projects and innovative educational programs.
Centre for Advanced Coating Technologies
CACT conducts fundamental research—experimental, analytical, and computational—in the areas of thermal spray coatings and plasma processing.
Study Advanced Manufacturing at U of T Engineering
Our Master of Engineering students can choose from a wide range of technical emphases including Advanced Manufacturing, while all engineering graduate students have the option of pursuing a Robotics & Mechatronics emphasis. Undergraduates in the Engineering Science program can major in Robotics, while students in our core engineering disciplines can pursue minors in Advanced Manufacturing and Robotics.
Leading innovation starts here
Connect with our partnerships team to discuss how a partnership with U of T Engineering can benefit your organization.
Researchers at U of T Engineering, led by Professor Yu Zou (MSE), are leveraging machine learning to improve additive manufacturing, also commonly known as 3D printing.
In a new paper, published in the journal of Additive Manufacturing, the team introduces a new framework they’ve dubbed the Accurate Inverse process optimization framework in laser Directed Energy Deposition (AIDED).
The new AIDED framework optimizes laser 3D printing to enhance the accuracy and robustness of the finished product