This project aims to design and develop an advanced hybrid cooling-lubrication system that supports sustainable manufacturing by minimizing or eliminating conventional cutting fluids, particularly for difficult-to-machine materials. The system incorporates pressurized air cooling, enhanced through various nozzle designs to maximize cooling effectiveness. By experimenting with different nozzle configurations, the project seeks to improve the cooling effect and ensure efficient lubrication across diverse machining conditions. This approach optimizes the Minimum Quantity Lubrication (MQL) system’s performance, contributing to sustainable manufacturing by reducing waste, improving surface quality, and decreasing reliance on traditional cooling methods with a smaller environmental footprint.
Project Coordinator: Ali Taner Kuzu
Project Students: Burak Taş, Okan Pekyaman, Şule Özkan, Zehra Gökçe Kadız
This project focuses on optimizing the mechanical performance of gyroid structures by analyzing design parameters such as cell size, wall thickness, and density. Using SLA (Stereolithography), samples will be produced and tested mechanically per ASTM standards. Machine learning models will explore the relationships between parameters and performance, identifying optimal configurations to maximize energy absorption and strength. The study aims to enhance gyroid structures’ efficiency in engineering applications, contributing to advanced and sustainable material design.
Project Coordinator: Ali Taner Kuzu
Project Students: Burak Taş, Zehra Gökçe Kadız