Optimizing process parameters for selective laser sintering based on neural network and genetic algorithm
Selective laser sintering (SLS) is an attractive rapid prototyping (RP) technology capable of manufacturing parts from a variety of materials. However, the wider application of SLS has been limited, due to their accuracy. This paper presents an optimal method to determine the best processing paramet...
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Veröffentlicht in: | International journal of advanced manufacturing technology 2009-06, Vol.42 (11-12), p.1035-1042 |
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Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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