Modeling and multi-objective optimization of the milling process for AISI 1060 steel

In this work, an experimental study was carried out to investigate the influence of the cutting parameters namely cutting speed ( V c ) , feed per tooth ( f z ) , and depth of cut ( a p ) on three machining performance aspects, including cutting temperature ( Q s ) , surface roughness ( R a ) , and...

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Bibliographic Details
Published in:	International journal of advanced manufacturing technology Vol. 132; no. 11-12; pp. 5705 - 5732
Main Authors:	Amira, Mohammed Toufik, Rezgui, Imane, Belloufi, Abderrahim, Abdelkrim, Mourad, Touggui, Youssef, Chiba, Elhocine, Catalin, Tampu, Chiriță, Bogdan
Format:	Journal Article
Language:	English
Published:	London Springer London 01-06-2024 Springer Nature B.V
Subjects:	CAE) and Design Computer-Aided Engineering (CAD Cutting force Cutting parameters Cutting speed Engineering Genetic algorithms High carbon steels Industrial and Production Engineering Mechanical Engineering Media Management Microhardness Milling (machining) Multiple objective analysis Optimization Original Article Production costs Response surface methodology Surface roughness Tool life Milling Multi-objective optimization Surface roughness AISI 1060 Modeling Cutting temperature Microhardness
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