Intelligent Decision Support System for Adaptive Slicing in Rpt Process
A lot of software solutions for design analysis are based on numerical approaches, but they mainly cannot provide any kind of expert advice during the process. This paper discusses a framework for intelligent decision support for fully design analysis of the CAD model, taking into consideration their functional, aesthetic and ergonomic features. A knowledge base is developed and as such contains mentioned features, specific for adaptive slicing in rapid prototyping process. The CAD model is evaluated by using weighting factors algorithm, which is crucial in determining of the layer thickness in the RPT process. The handle of electrical device is used in the case study to build intelligent decision support system in order to calculate layer thickness.