Neuro-fuzzy based predictive model for cutting force in CNC turning process of Al–Si–Cu cast alloy using modifier elements
نویسندگان
چکیده
Abstract This study investigated the predicted cutting force model of a turning operation for Al–Si–Cu cast alloy modified with modifiers based on adaptive neuro-fuzzy inference system (ANFIS) approach. Feed rate, speed and Silicon spacing were considered as input parameters. A series experiments conducted at various feed rates speeds. The prediction result showed that ANFIS successfully value in terms speed, rate Si spacing. mathematical was proposed to describe changes during machining alloy. Moreover, addition Bismuth into base decreased compared other refinement elements.
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ژورنال
عنوان ژورنال: SN applied sciences
سال: 2021
ISSN: ['2523-3971', '2523-3963']
DOI: https://doi.org/10.1007/s42452-020-03980-9