2021
DOI: 10.1007/s42452-020-03980-9
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Neuro-fuzzy based predictive model for cutting force in CNC turning process of Al–Si–Cu cast alloy using modifier elements

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, cutting speed and Silicon spacing were considered as the input parameters. A series of turning experiments were conducted at various feed rates and cutting speeds. The prediction result showed that the ANFIS model successfully predicted the cutting force value in terms of cutting speed, feed rate and Si spaci… Show more

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Cited by 7 publications
(2 citation statements)
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“…Studying the chip morphology has a major impact on the machining process as it affects the cutting force, surface integrity, tool and workpiece conditions [33][34][35]. Studies have proved that the morphology of chips has a major role in defining the life of cutting tool and workpiece [36][37][38]. During the chip removal process, a part of the temperature removed is taken away with the thrown away chip and any variation in the formation of chip size and shape would affect the life of cutting tool and workpiece [39][40][41].…”
Section: Introductionmentioning
confidence: 99%
“…Studying the chip morphology has a major impact on the machining process as it affects the cutting force, surface integrity, tool and workpiece conditions [33][34][35]. Studies have proved that the morphology of chips has a major role in defining the life of cutting tool and workpiece [36][37][38]. During the chip removal process, a part of the temperature removed is taken away with the thrown away chip and any variation in the formation of chip size and shape would affect the life of cutting tool and workpiece [39][40][41].…”
Section: Introductionmentioning
confidence: 99%
“…Marani vd., kokil kalıba döküm yöntemi ile üretilmiş Al-Si-Cu alaşımının tornada işlenmesinde stronsiyum (Sr), Bizmut (Bi) ve Antimon (Sb) ilavelerinin kesme kuvveti üzerindeki etkisini incelemişlerdir. Sr ilavesi ile kesme kuvveti artarken Bi ilavesi ile kesme kuvvetinin azaldığını ve ANFIS (Adaptive neuro-fuzzy inference system) ile optimum kesme şartları olarak maksimum kesme hızı (250 m/dak) ve minimum ilerleme (0,05 mm/dev) kombinasyonunun kullanılması gerektiğini tespit etmişlerdir [11]. Kumaran vd., Al-Si7Cu4 alaşımının sementit karbür kesici uç ile farklı kesme hızı (800, 8500 ve 9000 dev/dak), ilerleme (0,6125; 0,634 ve 0,645 mm/dev), kesme derinliği (0,4; 0,6 ve 0,8 mm) ve uç yarıçapı (0,5; 0,75 ve 1 mm) kullanarak frezelenmesinde kesme parametrelerini yüzey pürüzlülüğü, talaş kaldırma oranı, artık gerilme ve talaş kalınlığı performans kriterlerine göre optimize etmişlerdir.…”
Section: Gi̇ri̇ş (Introduction)unclassified