In this paper a comprehensive study of topology optimization and fatigue life prediction for the double-edged blade of a single-shaft shredder is carried out. Aiming to make the blade stronger and longer-lasting while using as little material as possible. All simulations were carried out in ANSYS. We used topology optimization to find the best material layout—reducing strain energy and improving strength—then estimated fatigue life by simulating the cyclic loads the blade experiences in operation. The results show the optimized designs keep their structural integrity and resist fatigue, demonstrating that material can be saved without sacrificing performance. Combining topology optimization with fatigue prediction offers a practical way to design cheaper, high-performance shredder blades. These findings could help the shredding industry cut material costs while maintaining product reliability.