A set of Fuzzy Logic Rules is applied in a decision-making process to obtain the best tool selection. We use Neural-Networks to generate self organizing maps (SOM) for adjustment of either the shape and/or boundaries of the membership functions. The optimal cutting conditions are selected by a heuristic approach. Thus the time and cost of a comparative manufacturing job can be adequately predicted.
Use of Neuro-Fuzzy Logic in Tool Selection and Cost Estimation in CNC Manufacturing of Prototypes
GRANCHI, MASSIMO;VETTORI, ENRICO
2006-01-01
Abstract
A set of Fuzzy Logic Rules is applied in a decision-making process to obtain the best tool selection. We use Neural-Networks to generate self organizing maps (SOM) for adjustment of either the shape and/or boundaries of the membership functions. The optimal cutting conditions are selected by a heuristic approach. Thus the time and cost of a comparative manufacturing job can be adequately predicted.File in questo prodotto:
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