Modelling of the thrust force of the drilling operation on PA6-nanoclay nanocomposites using particle swarm optimization

Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture

Volumn 225, Issue 10, 2011, Pages 1757-1771

  Soleymani Yazdi, M R ^a,b   Razfar, M R ^c   Asadnia, M ^b  

^a IMAM HOSSEIN UNIVERSITY   (Iran)

^b Iran University of Industries and Mines   (Iran)

^c AMIRKABIR UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Artificial neural network; Drilling; PA6 nanoclay; Particle swarm optimization

Indexed keywords

ARTIFICIAL NEURAL NETWORK; DRILLING OPERATION; EXPERIMENTAL ALGORITHMS; EXPERIMENTAL MEASUREMENTS; HIGH-SPEED STEELS; NANO CLAYS; PARTICLE SWARM; PREDICTIVE MODELS; THRUST FORCES;

ALGORITHMS; DRILLING; NANOCOMPOSITES; PARTICLE SWARM OPTIMIZATION (PSO);

NEURAL NETWORKS;

EID: 84855916549     PISSN: 09544054     EISSN: 20412975     Source Type: Journal    
DOI: 10.1177/0954405411399018     Document Type: Conference Paper

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