Selection of an optimal parametric combination for achieving a better surface finish in dry milling using genetic algorithms

In machining, coolants improve machinability, increase productivity by reducing tool wear and extend tool life. However, due to ecological and human health problems, manufacturing industries are now being forced to implement strategies to reduce the amount of cutting fluids used in their production...

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Veröffentlicht in:	International journal of advanced manufacturing technology 2006-03, Vol.28 (5-6), p.463-473
Hauptverfasser:	Reddy, N. Suresh Kumar, Rao, P. Venkateswara
Format:	Artikel
Sprache:	eng
Schlagworte:	Computational fluid dynamics Coolants Cutting fluids Cutting parameters Cutting speed Cutting tools Design of experiments Dry machining End milling cutters Feed rate Genetic algorithms Machinability Mathematical models Milling (machining) Optimization Process parameters Production lines Rake angle Rapid prototyping Response surface methodology Surface finish Surface roughness Taguchi methods Tool life Tool wear
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