A machine learning method for cutting parameter selection in rotary ultrasonic-assisted end grinding

journal contribution

posted on 2024-06-28, 06:20 authored by MRC Qazani, S Amini, S Pedrammehr, M Baraheni, AH Suhail

A machine learning method for cutting parameter selection in rotary ultrasonic-assisted end grinding

History

Journal

International Journal of Advanced Manufacturing Technology

Volume

126

Pagination

1577-1591

Location

Berlin, Germany

Open access

No

ISSN

0268-3768

eISSN

1433-3015

Language

eng

Publication classification

C1.1 Refereed article in a scholarly journal

Issue

3-4

Publisher

Springer

Publication URL

http://dx.doi.org/10.1007/s00170-023-11196-5

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Categories

Keywords

Automation & Control Systems COMPOSITES Engineering Engineering, Manufacturing Fuzzy neural network Genetic algorithm PREDICTION Science & Technology Silica Surface roughness Technology Thrust forces Ultrasonic grinding VIBRATION

Licence

All Rights Reserved

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