AI-based lattice structure design for 3D printed customized health care cushion supports

Designing customized seating cushion supports for people with limited mobility is essential. A personalized cushion would help relieve seating pressure and prevent tissue injuries due to long-time sitting. This project aims to speed up and lower the cost of producing these cushions by using machine learning, and additive (3D) manufacturing techniques. This project is being led by the University of Alberta with support from Red Deer Polytechnic. The interns will gain valuable knowledge in data collection and using machine learning to solve real world problems that impact a person’s quality of life. They will also gain first hand experience working with an industrial client.

Faculty Supervisor:

Tonya Wolfe;Xingyu Li

Student:

Partner:

Assistability

Discipline:

Engineering

Sector:

Manufacturing

University:

Red Deer Polytechnic; University of Alberta

Program: