Abstract
Cutting tools are fundamental components in manufacturing and engineering processes which are essential for shaping, cutting, and decided materials like metal, wood and composites. The design of these tools calls for a delicate balance between choice of materials, geometry and performance criteria whose parameters are tailored. The emergence of artificial intelligence (AI) has turned this world all upside down. AI first uses machine learning algorithms to analyze large quantities of data about material properties, wear resistance, or cutting conditions leading to new tool designs for a given material. In addition, AI also allows real-time monitoring during machining and with adaptive control. It can improve precision as well as reduce tool wear by selecting the right speed when cutting, while slow down results in prevention of damage. Furthermore, AI-driven simulations have enabled engineers to simulate and optimize tool design in virtual environments prior to physical production. AI will continue to advance in the future holds out the promise of decreasing still further the cost and improving the performance characteristics of cutting tools. It is the combination of AI and cutting tool design to gain maximum benefits of this innovation while minimizing costs for now in the future.
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