Rohollah Ghasemi
Senior Lecturer in Mechanical Engineering
The AI-DELSA project is developing a new method where AI controls laser beams to create stronger and more durable metal surfaces. By replacing energy-intensive heat treatments with a fast and environmentally friendly laser process, the vehicle components of the future can become lighter, stronger, and more sustainable.
Faster, greener and stronger
"By replacing traditional heat treatment with an AI-controlled laser process, we create components that are both more sustainable and higher-performing"
Rohollah Ghasemi, Project Manager and Senior Lecturer in Mechanical Engineering
The AI-DELSA project focuses on establishing an AI-based laser surface advancement method for developing a dynamic (real time-monitoring) quality assurance approach through data-driven analytics and machine learning techniques.
In this project, we use laser techniques (a high-power laser beams) as an advanced, cost-effective, robust and eco-friendly surface engineering technique to selectively modify the CGI surfaces' structure to improve both mechanical and tribological properties compared to as-cast CGI materials.
Our target
Our ultimate target is to meet this improvement by producing a unique ultra-fine ausferrite/bainitie (Nano-sized) structure using laser technology instead of an expensive, time and energy-consuming conventional heat treatment process.
