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    Machine Learning-Driven Optimization of Energy Efficiency in Marble Computer Numerical Control Machining for Sustainable Manufacturing 

    Source: Journal of Tribology:;2026:;volume( 148 ):;issue:001:;page 207
    Author(s): Sarıışık, Gencay; Öğütlü, Ahmet Sabri
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Abstract. This study investigates the specific energy (Se) and material removal rate (MRR) during the computer numerical control (CNC) machining of marble using three toolpath strategies: external lines, linear, and spiral ...
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