Input attribute optimization for thermal deformation of machine-tool spindles using artificial intelligence

Swami Nath Maurya,Win-Jet Luo,Bivas Panigrahi,Prateek Negi, Pei-Tang Wang

Journal of Intelligent Manufacturing（2024）

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摘要

The heat generated due to internal and external rotating components, electrical parts, and varying ambient temperatures can cause thermal deformations and significantly impact the precision of machine tools (MTs). Thermal error is crucial in industrial processes, corresponding to approximately 60–70

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关键词

High-speed spindle,Thermal deformation,Artificial neural network,Genetic algorithm,Prediction model,Input optimization

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