Kerf geometry and surface roughness optimization in co2 laser processing of fff plates utilizing neural networks and genetic algorithms approaches

HIGHLIGHTS

• who: John D. Kechagias and colleagues from the and (DML), Department of FWSD, University of Thessaly, Karditsa, Greece have published the paper: Kerf Geometry and Surface Roughness Optimization in CO2 Laser Processing of FFF Plates Utilizing Neural Networks and Genetic Algorithms Approaches, in the Journal: (JOURNAL)
• what: A negligible lack of fit is desirable because it indicates that any term excluded by the model is minor and that the developed model serves well. The models agree with experimental results and can be used for predicting the responses. This work examines the results of two key . . .
  

   

  

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