Optimization using neural network modeling and swarm intelligence in the machining of titanium (ti 6al 4v) alloy

8th Mexican International Conference on Artificial Intelligence - Proceedings of the Special Session, MICAI 2009

Volumn , Issue , 2009, Pages 33-38

  Escamilla, I ^a   Perez, P ^a   Torres, L ^b   Zambrano, P ^b   Gonzalez, B ^b  

^a Jalisco   (Mexico)

^b Facultad de Ingenieria Mecánica y Eléctrica   (Mexico)

Author keywords

Machining parameters; Multi objective; Neural network; Surface roughness; Swarm; Titanium

Indexed keywords

LOW THERMAL CONDUCTIVITY; MACHINING PARAMETERS; MACHINING PROCESS; MULTI OBJECTIVE; NEURAL NETWORK MODELING; NEW MODEL; OPTIMIZATION ALGORITHMS; PROCESS OUTPUT; PROCESS PARAMETERS; SWARM INTELLIGENCE; TI-6AL-4V; TRIAL AND ERROR;

AEROSPACE INDUSTRY; CELLULAR AUTOMATA; CERIUM ALLOYS; CHEMICAL REACTIONS; MACHINING; MACHINING CENTERS; MULTIOBJECTIVE OPTIMIZATION; PARTICLE SWARM OPTIMIZATION (PSO); SURFACE PROPERTIES; SURFACE ROUGHNESS; TITANIUM;

NEURAL NETWORKS;

EID: 77950965785     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MICAI.2009.22     Document Type: Conference Paper

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