Prediction models for energy consumption and surface quality in stainless steel milling

نویسندگان

چکیده

Stainless steel is a kind of difficult-to-machine material, and the work hardening in milling easily leads to high energy consumption poor surface quality. Thus, influence machined hardness on quality cannot be ignored. To solve this problem, prediction models for machine tool specific roughness are developed with wear considered firstly. Then, validity verified through AISI 304 stainless experiments. The results show that accuracy model can reach 98.7%, 96.8%. Later, according models, parameters, hardness, studied. Results milling, most significant parameter while feed per tooth. increases linearly increase gradually. proposed helpful optimize process parameters energy-saving high-quality machining steel.

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ژورنال

عنوان ژورنال: The International Journal of Advanced Manufacturing Technology

سال: 2021

ISSN: ['1433-3015', '0268-3768']

DOI: https://doi.org/10.1007/s00170-021-07971-x