An Integrated Experimental and Machine Learning Approach for Machinability Assessment and Tool Life Prediction in Drilling of 14NiCr10 Alloy Using AlTiN‐Coated Carbide Tools

ABSTRACT To maximize tool life and process efficiency in high‐performance drilling applications, it is necessary to examine the machinability of 14NiCr10 alloy using AlTiN‐coated carbide tools with varying cobalt compositions. We propose a method to evaluate tool wear, cutting force, temperature, an...

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Principais autores:	Adik M. Takale, Uday A. Dabade, Manjunath G. Avalappa, Uttam U. Deshpande, Mukesh Kumar
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Wiley 2025-09-01
coleção:	Engineering Reports
Assuntos:	14NiCr10 AlTiN‐coated carbide tools decision tree regressor finite element analysis (FEA) smart manufacturing tool life prediction
Acesso em linha:	https://doi.org/10.1002/eng2.70397
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