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A Multimodal Machine Learning Framework for Optimizing Coated Cutting Tool Performance in CNC Turning Operations

The present study introduces a comprehensive machine-learning framework for modeling, interpretation and optimization of the CNC turning procedure employing coated cutting inserts. The primary novelty of this work lies in the integrated pipeline that leverages a multimodal experimental dataset in or...

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書誌詳細
第一著者: Paschalis Charalampous
フォーマット: Artigo
言語:Inglês
出版事項: MDPI AG 2026-02-01
シリーズ:Machines
主題:
オンライン・アクセス:https://www.mdpi.com/2075-1702/14/2/161
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