Modeling and analysis of machinability characteristics in PA6 and PA66 GF30 polyamides through artificial neural network

Journal of Thermoplastic Composite Materials

Volumn 23, Issue 3, 2010, Pages 313-336

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

^a KLE TECHNOLOGICAL UNIVERSITY   (India)

^b UNIVERSITY OF CASTILLA LA MANCHA   (Spain)

^c UNIVERSITY OF AVEIRO   (Portugal)

Author keywords

Artificial neural network (ANN); Cemented carbide (K10) tool; Machining force; PA6 and PA66 GF30 polyamides; Polycrystalline diamond (PCD) tool; Power; Specific cutting force; Turning

Indexed keywords

ARTIFICIAL NEURAL NETWORK; CEMENTED CARBIDES; CUTTING FORCES; MACHINING FORCE; POLYCRYSTALLINE DIAMOND TOOLS; POWER; TOOL MACHINING;

AMIDES; AMINO ACIDS; CARBIDE TOOLS; CARBIDES; CUTTING TOOLS; DIMENSIONAL STABILITY; GLASS FIBERS; MACHINE TOOLS; METAL WORKING TOOLS; POLYAMIDES; REINFORCED PLASTICS; SPEED; TURNING; WEAR RESISTANCE;

NEURAL NETWORKS;

EID: 77951951872     PISSN: 08927057     EISSN: 15307980     Source Type: Journal    
DOI: 10.1177/0892705709349319     Document Type: Article

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