Author: Ms. Kalyani Sharma
Abstract: Quantum-inspired optimisation (QIO) offers a novel approach to enhance the efficiency of tool path planning in modern CNC machining. Specifically, in 5-axis milling, where simultaneous movement along multiple axes enables complex surface machining, path redundancy and time-consuming operations remain significant bottlenecks. This paper explores the application of quantum-inspired algorithms, particularly leveraging superposition and probabilistic search strategies, to optimise and compress tool paths without compromising surface quality. Through the fusion of classical heuristics and quantum-inspired computational models, this study demonstrates enhanced precision, reduced tool wear, and minimized machining time. The investigation includes a comparative study with conventional methods and outlines the potential of QIO in intelligent manufacturing ecosystems
Keywords: Quantum-Inspired Optimisation, 5-Axis Milling, Tool Path Compression, Complex Surface Machining, CNC Toolpath Efficiency
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