Study on the influence of MQL and cutting conditions on machinability of brass using Artificial Neural Network

International Journal of Materials and Product Technology

Volumn 37, Issue 1-2, 2010, Pages 155-172

  Gaitonde, V N ^a   Karnik, S R ^a   Davim, J Paulo ^b  

^a KLE TECHNOLOGICAL UNIVERSITY   (India)

^b UNIVERSITY OF AVEIRO   (Portugal)

Author keywords

ANN; Artificial Neural Network; Brass; Carbide tool (K10); Minimum Quantity of Lubrication; MQL; Specific cutting force; Surface roughness; Turning

Indexed keywords

BRASS; CUTTING; LUBRICATION; NEURAL NETWORKS; TURNING;

CUTTING CONDITIONS; CUTTING FORCES; CUTTING SPEED; FEED-RATES; HIGH RANGES; LUBRICATING SYSTEMS; MEDIUM RANGE; MINIMUM QUANTITY OF LUBRICATIONS;

SURFACE ROUGHNESS;

EID: 72049111762     PISSN: 02681900     EISSN: None     Source Type: Journal    
DOI: 10.1504/ijmpt.2010.029466     Document Type: Article

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